Best SigView Alternatives in 2025
Find the top alternatives to SigView currently available. Compare ratings, reviews, pricing, and features of SigView alternatives in 2025. Slashdot lists the best SigView alternatives on the market that offer competing products that are similar to SigView. Sort through SigView alternatives below to make the best choice for your needs
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StarTree
StarTree
26 RatingsStarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time. -
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Striim
Striim
Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data. -
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Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.
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Amazon EMR
Amazon
Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations. -
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doolytic
doolytic
Doolytic is at the forefront of big data discovery, integrating data exploration, advanced analytics, and the vast potential of big data. The company is empowering skilled BI users to participate in a transformative movement toward self-service big data exploration, uncovering the inherent data scientist within everyone. As an enterprise software solution, doolytic offers native discovery capabilities specifically designed for big data environments. Built on cutting-edge, scalable, open-source technologies, doolytic ensures lightning-fast performance, managing billions of records and petabytes of information seamlessly. It handles structured, unstructured, and real-time data from diverse sources, providing sophisticated query capabilities tailored for expert users while integrating with R for advanced analytics and predictive modeling. Users can effortlessly search, analyze, and visualize data from any format and source in real-time, thanks to the flexible architecture of Elastic. By harnessing the capabilities of Hadoop data lakes, doolytic eliminates latency and concurrency challenges, addressing common BI issues and facilitating big data discovery without cumbersome or inefficient alternatives. With doolytic, organizations can truly unlock the full potential of their data assets. -
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GeoSpock
GeoSpock
GeoSpock revolutionizes data integration for a connected universe through its innovative GeoSpock DB, a cutting-edge space-time analytics database. This cloud-native solution is specifically designed for effective querying of real-world scenarios, enabling the combination of diverse Internet of Things (IoT) data sources to fully harness their potential, while also streamlining complexity and reducing expenses. With GeoSpock DB, users benefit from efficient data storage, seamless fusion, and quick programmatic access, allowing for the execution of ANSI SQL queries and the ability to link with analytics platforms through JDBC/ODBC connectors. Analysts can easily conduct evaluations and disseminate insights using familiar toolsets, with compatibility for popular business intelligence tools like Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as support for data science and machine learning frameworks such as Python Notebooks and Apache Spark. Furthermore, the database can be effortlessly integrated with internal systems and web services, ensuring compatibility with open-source and visualization libraries, including Kepler and Cesium.js, thus expanding its versatility in various applications. This comprehensive approach empowers organizations to make data-driven decisions efficiently and effectively. -
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Bizintel360
Bizdata
An AI-driven self-service platform for advanced analytics allows users to connect diverse data sources and create visualizations effortlessly, eliminating the need for programming skills. This cloud-native solution delivers high-quality data and intelligent real-time insights across the organization with a no-code approach. Users can link various data sources, regardless of their formats, enabling the detection of underlying issues. The platform significantly reduces the time taken from sourcing to targeting data, while providing analytics accessible to those without technical expertise. With real-time data updates, users can connect any kind of data source, streaming it to a data lake at defined intervals, and visualize the information through sophisticated interactive dashboards. It combines descriptive, predictive, and prescriptive analytics in one platform, utilizing the capabilities of a search engine alongside advanced visualization techniques. There’s no need for conventional technology to explore data in multiple visualization styles. Users can easily manipulate data through roll-ups, slicing, and dicing, employing various mathematical computations directly within the Bizintel360 visualization environment, thus enhancing their analytical capabilities. This empowers businesses to make data-driven decisions with ease and speed. -
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Hydrolix
Hydrolix
$2,237 per monthHydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints. -
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Apache Druid
Druid
Apache Druid is a distributed data storage solution that is open source. Its fundamental architecture merges concepts from data warehouses, time series databases, and search technologies to deliver a high-performance analytics database capable of handling a diverse array of applications. By integrating the essential features from these three types of systems, Druid optimizes its ingestion process, storage method, querying capabilities, and overall structure. Each column is stored and compressed separately, allowing the system to access only the relevant columns for a specific query, which enhances speed for scans, rankings, and groupings. Additionally, Druid constructs inverted indexes for string data to facilitate rapid searching and filtering. It also includes pre-built connectors for various platforms such as Apache Kafka, HDFS, and AWS S3, as well as stream processors and others. The system adeptly partitions data over time, making queries based on time significantly quicker than those in conventional databases. Users can easily scale resources by simply adding or removing servers, and Druid will manage the rebalancing automatically. Furthermore, its fault-tolerant design ensures resilience by effectively navigating around any server malfunctions that may occur. This combination of features makes Druid a robust choice for organizations seeking efficient and reliable real-time data analytics solutions. -
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AVEVA PI System
AVEVA
The PI System unveils operational insights and opens up new avenues for innovation. By facilitating digital transformation, the PI System harnesses reliable, high-quality operational data to drive progress. It allows for data collection, enhancement, and real-time delivery from any location. This empowers both engineers and operators alike, while also speeding up the efforts of analysts and data scientists. Furthermore, it creates opportunities for new business ventures. The system is capable of gathering real-time data from a multitude of assets, including legacy systems, proprietary technologies, remote devices, mobile units, and IIoT devices. With the PI System, your data becomes accessible regardless of its location or format. It enables the storage of decades of data with sub-second precision, offering you immediate access to high-fidelity historical, real-time, and predictive data crucial for maintaining essential operations and gaining valuable business insights. By incorporating intuitive labels and metadata, the system enhances the meaning of data. You can also establish data hierarchies that mirror your operational and reporting structures. With the addition of context, data points transform from mere numbers into a comprehensive narrative that encompasses the entire picture, allowing informed decision-making. This holistic view ultimately leads to more strategic planning and operational excellence. -
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BIRD Analytics
Lightning Insights
BIRD Analytics is an exceptionally rapid, high-performance, comprehensive platform for data management and analytics that leverages agile business intelligence alongside AI and machine learning models to extract valuable insights. It encompasses every component of the data lifecycle, including ingestion, transformation, wrangling, modeling, and real-time analysis, all capable of handling petabyte-scale datasets. With self-service features akin to Google search and robust ChatBot integration, BIRD empowers users to find solutions quickly. Our curated resources deliver insights, from industry use cases to informative blog posts, illustrating how BIRD effectively tackles challenges associated with Big Data. After recognizing the advantages BIRD offers, you can arrange a demo to witness the platform's capabilities firsthand and explore how it can revolutionize your specific data requirements. By harnessing AI and machine learning technologies, organizations can enhance their agility and responsiveness in decision-making, achieve cost savings, and elevate customer experiences significantly. Ultimately, BIRD Analytics positions itself as an essential tool for businesses aiming to thrive in a data-driven landscape. -
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Riak KV
Riak
$0Riak is a distributed systems expert and works with Application teams to overcome distributed system challenges. Riak's Riak®, a distributed NoSQL databank, delivers: Unmatched resilience beyond the typical "high availability" offerings - Innovative technology to ensure data accuracy, and never lose a word. - Massive scale for commodity hardware - A common code foundation that supports true multi-model support Riak®, offers all of this while still focusing on ease-of-use. Choose Riak®, KV flexible key value data model for web scale profile management, session management, real time big data, catalog content management, customer 360, digital message and other use cases. Choose Riak®, TS for IoT, time series and other use cases. -
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IBM Db2 Big SQL
IBM
IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape. -
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Kyligence
Kyligence
Kyligence Zen can collect, organize, and analyze your metrics, so you can spend more time taking action. Kyligence Zen, the low-code metrics platform, is the best way to define, collect and analyze your business metrics. It allows users to connect their data sources quickly, define their business metrics in minutes, uncover hidden insights, and share these across their organization. Kyligence Enterprise offers a variety of solutions based on public cloud, on-premises, and private cloud. This allows enterprises of all sizes to simplify multidimensional analyses based on massive data sets according to their needs. Kyligence Enterprise based on Apache Kylin provides sub-second standard SQL queries based upon PB-scale datasets. This simplifies multidimensional data analysis for enterprises, allowing them to quickly discover the business value of massive amounts data and make better business decisions. -
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Phocas Software
Phocas Software
Phocas provides an all-in-one business intelligence (BI) and financial planning and analysis (FP&A) platform for mid-market businesses who make, move and sell. Driven by a mission to make people feel good about data, Phocas helps businesses connect, understand, and plan better together. Partnering with ERP systems like Epicor, Sage, Oracle NetSuite, Phocas extends their capabilities by consolidating ERP, CRM, spreadsheets and other data sources into one easy-to-use platform, offering a range of tools to analyze, report, and plan. Its key features include intuitive dashboards, ad hoc reporting, dynamic financial statements, flexible budgeting, accurate forecasting, and automated rebate management. With real-time insights and secure access, Phocas empowers cross-functional teams to explore data and make informed decisions confidently. Designed to be self-serve for all business users, Phocas simplifies data-driven processes by automating manual tasks like consolidating financial and operational data – saving time and reducing errors. Whether you're preparing month-end reports, analyzing trends, managing cash flow, or optimizing rebates, Phocas provides the clarity you need to stay ahead. -
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Keen
Keen.io
$149 per monthKeen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet. Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption. Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points. -
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Google Cloud Dataproc
Google
Dataproc enhances the speed, simplicity, and security of open source data and analytics processing in the cloud. You can swiftly create tailored OSS clusters on custom machines to meet specific needs. Whether your project requires additional memory for Presto or GPUs for machine learning in Apache Spark, Dataproc facilitates the rapid deployment of specialized clusters in just 90 seconds. The platform offers straightforward and cost-effective cluster management options. Features such as autoscaling, automatic deletion of idle clusters, and per-second billing contribute to minimizing the overall ownership costs of OSS, allowing you to allocate your time and resources more effectively. Built-in security measures, including default encryption, guarantee that all data remains protected. With the JobsAPI and Component Gateway, you can easily manage permissions for Cloud IAM clusters without the need to configure networking or gateway nodes, ensuring a streamlined experience. Moreover, the platform's user-friendly interface simplifies the management process, making it accessible for users at all experience levels. -
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GigaSpaces
GigaSpaces
Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. XAP Skyline is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models. -
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DataSift
DataSift
Gain valuable insights by harnessing a vast array of data generated by humans. This includes information sourced from social media platforms, blogs, news articles, and various other mediums. By consolidating social, blog, and news data into a central repository, you can access both real-time and historical information derived from billions of data points. The platform processes and enhances this data instantaneously, ensuring precise analysis. With DataSift, you can seamlessly integrate Human Data into your business intelligence (BI) systems and operational workflows in real-time. Moreover, our robust API empowers you to create custom applications tailored to your needs. Human Data represents the most rapidly expanding category of information, encompassing the full range of content generated by individuals, no matter the format or delivery channel. This includes text, images, audio, and video shared across social networks, blogs, news outlets, and within organizational environments. The DataSift Human Data platform integrates all these diverse data sources—both real-time and historical—into a single location, revealing their significance and enabling their application throughout your business landscape. By leveraging this data, organizations can drive innovation and informed decision-making effectively. -
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Isima
Isima
bi(OS)® offers an unmatched speed to insight for developers of data applications in a cohesive manner. With bi(OS)®, the entire process of creating data applications can be completed in just a matter of hours to days. This comprehensive approach encompasses the integration of diverse data sources, the extraction of real-time insights, and the smooth deployment into production environments. By joining forces with enterprise data teams across various sectors, you can transform into the data superhero your organization needs. The combination of Open Source, Cloud, and SaaS has not fulfilled its potential for delivering genuine data-driven results. Enterprises have largely focused their investments on data movement and integration, a strategy that is ultimately unsustainable. A fresh perspective on data management is urgently required, one that considers the unique challenges of enterprises. bi(OS)® is designed by rethinking fundamental principles in enterprise data management, ranging from data ingestion to insight generation. It caters to the needs of API, AI, and BI developers in a cohesive manner, enabling data-driven outcomes within days. As engineers collaborate effectively, a harmonious relationship emerges among IT teams, tools, and processes, creating a lasting competitive advantage for the organization. -
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SHREWD Platform
Transforming Systems
Effortlessly leverage your entire system's data with our SHREWD Platform, which features advanced tools and open APIs. The SHREWD Platform is equipped with integration and data collection tools that support the operations of various SHREWD modules. These tools consolidate data and securely store it in a UK-based data lake. Subsequently, the data can be accessed by SHREWD modules or through an API, allowing for the transformation of raw information into actionable insights tailored to specific needs. The platform can ingest data in virtually any format, whether it’s in traditional spreadsheets or through modern digital systems via APIs. Additionally, the system’s open API facilitates third-party connections, enabling external applications to utilize the information stored in the data lake when necessary. By providing an operational data layer that serves as a real-time single source of truth, the SHREWD Platform empowers its modules to deliver insightful analytics, enabling managers and decision-makers to act promptly and effectively. This holistic approach to data management ensures that organizations can remain agile and responsive to changing demands. -
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Inzata Analytics
Inzata Analytics
3 RatingsInzata Analytics is an AI-powered, end to end data analytics software solution. Inzata transforms your raw data into actionable insights using a single platform. Inzata Analytics makes it easy to build your entire data warehouse in a matter of minutes. Inzata's over 700 data connectors make data integration easy and quick. Our patented aggregation engine guarantees pre-blended, blended, and organized data models within seconds. Inzata's latest tool, InFlow, allows you to create automated data pipeline workflows that allow for real-time data analysis updates. Finally, use 100% customizable interactive dashboards to display your business data. Inzata gives you the power of real-time analysis to boost your business' agility and responsiveness. -
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Talend Data Fabric
Qlik
Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement. -
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Enterprise Enabler
Stone Bond Technologies
Enterprise Enabler brings together disparate information from various sources and isolated data sets, providing a cohesive view within a unified platform; this includes data housed in the cloud, distributed across isolated databases, stored on instruments, located in Big Data repositories, or found within different spreadsheets and documents. By seamlessly integrating all your data, it empowers you to make timely and well-informed business choices. The system creates logical representations of data sourced from its original locations, enabling you to effectively reuse, configure, test, deploy, and monitor everything within a single cohesive environment. This allows for the analysis of your business data as events unfold, helping to optimize asset utilization, reduce costs, and enhance your business processes. Remarkably, our deployment timeline is typically 50-90% quicker, ensuring that your data sources are connected and operational in record time, allowing for real-time decision-making based on the most current information available. With this solution, organizations can enhance collaboration and efficiency, leading to improved overall performance and strategic advantage in the market. -
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DoubleCloud
DoubleCloud
$0.024 per 1 GB per monthOptimize your time and reduce expenses by simplifying data pipelines using hassle-free open source solutions. Covering everything from data ingestion to visualization, all components are seamlessly integrated, fully managed, and exceptionally reliable, ensuring your engineering team enjoys working with data. You can opt for any of DoubleCloud’s managed open source services or take advantage of the entire platform's capabilities, which include data storage, orchestration, ELT, and instantaneous visualization. We offer premier open source services such as ClickHouse, Kafka, and Airflow, deployable on platforms like Amazon Web Services or Google Cloud. Our no-code ELT tool enables real-time data synchronization between various systems, providing a fast, serverless solution that integrates effortlessly with your existing setup. With our managed open-source data visualization tools, you can easily create real-time visual representations of your data through interactive charts and dashboards. Ultimately, our platform is crafted to enhance the daily operations of engineers, making their tasks more efficient and enjoyable. This focus on convenience is what sets us apart in the industry. -
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Anodot
Anodot
Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world. -
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DataMax
Digiterre
DataMax is an enterprise-ready solution that simplifies the intricate aspects of real-time data management, enabling organizations to develop, deploy, and operate at scale with ease. This platform enhances the speed at which businesses can implement change. Featuring a distinctive architecture, process, and a blend of specialized technologies, DataMax transitions organizations from scattered data and reporting sources to a comprehensive data overview, granting them the insights necessary for more efficient operations. Its innovative combination of technologies ensures robust data management suitable for enterprise demands. The system has demonstrated its scalability and is designed for cloud deployment, accommodating both time series and non-time series data. By generating analytics platforms, it significantly elevates the quality of data, analysis, and reporting available to market analytics teams, thereby enhancing the decision-making capabilities of Traders. Ultimately, DataMax empowers organizations to respond swiftly to market dynamics and improve their overall business strategies. -
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Azure Analysis Services
Microsoft
$0.81 per hour 1 RatingUtilize Azure Resource Manager to quickly establish and deploy an Azure Analysis Services instance, allowing for the swift transfer of your existing models to take full advantage of the cloud's scalability, flexibility, and management features. You can easily scale up, scale down, or temporarily suspend the service, ensuring you only pay for what you actually utilize. Integrate data from diverse sources into a cohesive and reliable BI semantic model that is user-friendly and straightforward. By simplifying the representation of data and its foundational structure, you empower business users with self-service capabilities and facilitate data exploration. This approach significantly accelerates the time-to-insight for large and intricate datasets, ensuring that your BI solutions are responsive and aligned with the demands of your organization. Additionally, leverage DirectQuery to connect with real-time operational data, enabling you to monitor your business dynamics closely. Finally, enhance your data visualization experience by employing your preferred data visualization tools, making insights more accessible and actionable. This comprehensive solution not only enhances data usability but also drives better decision-making within the organization. -
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Datonis
Altizon Systems
Introducing an advanced digital manufacturing platform driven by the Internet of Things, Datonis offers ready-to-use applications that facilitate monitoring, measuring, analyzing, and forecasting outcomes harnessing the capabilities of artificial intelligence. This platform adopts a holistic approach to integrate IT and operational technology systems, enabling the monetization of expertise through the development of new applications and services. The system includes interplant process benchmarking and predictive models for quality assurance, alongside real-time compliance checks for quality audits. It features alerts for process compliance, trends in Cpk, and monitoring of quality rejections and scrap, all while establishing correlations between processes and defects. The platform also provides alerts for checklist schedule violations, conducts trend analyses on checklist data, and offers a flexible framework for creating diverse types of checklists. Users can receive checklist notifications, log observations on mobile devices, and consult images and videos before making decisions regarding checklist items. Additionally, there is an interactive application for operators, enabling them to engage with the platform and track progress in real-time, while the operator workbench allows them to provide feedback, raise alarms, request assistance, and access engineering documentation as needed. This comprehensive integration not only enhances operational efficiency but also fosters a culture of continuous improvement within manufacturing processes. -
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OpenText Analytics Database is a cutting-edge analytics platform designed to accelerate decision-making and operational efficiency through fast, real-time data processing and advanced machine learning. Organizations benefit from its flexible deployment options, including on-premises, hybrid, and multi-cloud environments, enabling them to tailor analytics infrastructure to their specific needs and lower overall costs. The platform’s massively parallel processing (MPP) architecture delivers lightning-fast query performance across large, complex datasets. It supports columnar storage and data lakehouse compatibility, allowing seamless analysis of data stored in various formats such as Parquet, ORC, and AVRO. Users can interact with data using familiar languages like SQL, R, Python, Java, and C/C++, making it accessible for both technical and business users. In-database machine learning capabilities allow for building and deploying predictive models without moving data, providing real-time insights. Additional analytics functions include time series, geospatial, and event-pattern matching, enabling deep and diverse data exploration. OpenText Analytics Database is ideal for organizations looking to harness AI and analytics to drive smarter business decisions.
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Deepnote
Deepnote
FreeDeepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud. -
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Scuba
Scuba Analytics
Scuba enables self-service analytics on a large scale, catering to various roles such as product managers, business unit leaders, chief experience officers, data scientists, business analysts, and IT personnel who will find it incredibly easy to access their data and extract valuable insights. By using Interana, you can delve deeper into understanding customer behavior, system performance, and application usage—essentially anything related to actions over time—transcending traditional dashboards and static reports. This unique analytics platform empowers you and your team to dynamically explore your data in real-time, providing clarity not only on what is happening in your business but also offering explanations for those occurrences. With Scuba, there's no delay in accessing your data; everything is readily available, allowing you to pose questions as fast as they come to mind. Designed with everyday business users in mind, Scuba eliminates the need for coding skills or SQL knowledge, making data exploration accessible to all. Consequently, businesses can make timely, informed decisions based on real-time insights rather than outdated information. -
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TAMI
TAMI
TAMI provides the most complete and accurate picture of your market and gives you direct access to 130M companies and over 532M verified business contacts. Fully GDPR compliant. We specialise in European data and have a patent technology in Europe. Streamline your sales strategy and improve the efficiency of your teams' prospecting efforts, -
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E-MapReduce
Alibaba
EMR serves as a comprehensive enterprise-grade big data platform, offering cluster, job, and data management functionalities that leverage various open-source technologies, including Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is specifically designed for big data processing within the Alibaba Cloud ecosystem. Built on Alibaba Cloud's ECS instances, EMR integrates the capabilities of open-source Apache Hadoop and Apache Spark. This platform enables users to utilize components from the Hadoop and Spark ecosystems, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, for effective data analysis and processing. Users can seamlessly process data stored across multiple Alibaba Cloud storage solutions, including Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). EMR also simplifies cluster creation, allowing users to establish clusters rapidly without the hassle of hardware and software configuration. Additionally, all maintenance tasks can be managed efficiently through its user-friendly web interface, making it accessible for various users regardless of their technical expertise. -
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Obviously AI
Obviously AI
$75 per monthExperience the entire journey of developing machine learning algorithms and forecasting results with just a single click. Not every dataset is inherently suitable for machine learning; leverage the Data Dialog to effortlessly refine your data without the hassle of file manipulation. You can easily distribute your prediction reports among your team or make them publicly accessible, allowing anyone to engage with your model and generate predictions. Integrate dynamic ML predictions directly into your application through our user-friendly low-code API. Assess factors like willingness to pay, evaluate leads, and more, all in real-time. Obviously AI equips you with the latest groundbreaking algorithms while ensuring top-notch performance is maintained. You can now accurately forecast revenue, streamline supply chains, and tailor marketing efforts to individual needs. With just a CSV upload or a quick integration with your preferred data sources, you can select your prediction column from a convenient dropdown menu and watch as we automatically construct the AI for you. Additionally, enjoy beautifully crafted visualizations of predicted outcomes, identify key influencers, and explore "what-if" scenarios to better understand potential futures. This innovative approach transforms the way you interact with data and make predictions. -
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Apache Storm
Apache Software Foundation
Apache Storm is a distributed computation system that is both free and open source, designed for real-time data processing. It simplifies the reliable handling of endless data streams, similar to how Hadoop revolutionized batch processing. The platform is user-friendly, compatible with various programming languages, and offers an enjoyable experience for developers. With numerous applications including real-time analytics, online machine learning, continuous computation, distributed RPC, and ETL, Apache Storm proves its versatility. It's remarkably fast, with benchmarks showing it can process over a million tuples per second on a single node. Additionally, it is scalable and fault-tolerant, ensuring that data processing is both reliable and efficient. Setting up and managing Apache Storm is straightforward, and it seamlessly integrates with existing queueing and database technologies. Users can design Apache Storm topologies to consume and process data streams in complex manners, allowing for flexible repartitioning between different stages of computation. For further insights, be sure to explore the detailed tutorial available. -
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Delta Lake
Delta Lake
Delta Lake serves as an open-source storage layer that integrates ACID transactions into Apache Spark™ and big data operations. In typical data lakes, multiple pipelines operate simultaneously to read and write data, which often forces data engineers to engage in a complex and time-consuming effort to maintain data integrity because transactional capabilities are absent. By incorporating ACID transactions, Delta Lake enhances data lakes and ensures a high level of consistency with its serializability feature, the most robust isolation level available. For further insights, refer to Diving into Delta Lake: Unpacking the Transaction Log. In the realm of big data, even metadata can reach substantial sizes, and Delta Lake manages metadata with the same significance as the actual data, utilizing Spark's distributed processing strengths for efficient handling. Consequently, Delta Lake is capable of managing massive tables that can scale to petabytes, containing billions of partitions and files without difficulty. Additionally, Delta Lake offers data snapshots, which allow developers to retrieve and revert to previous data versions, facilitating audits, rollbacks, or the replication of experiments while ensuring data reliability and consistency across the board. -
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Indexima Data Hub
Indexima
$3,290 per monthTransform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations. -
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Oracle Cloud Infrastructure Data Flow
Oracle
$0.0085 per GB per hourOracle Cloud Infrastructure (OCI) Data Flow is a comprehensive managed service for Apache Spark, enabling users to execute processing tasks on enormous data sets without the burden of deploying or managing infrastructure. This capability accelerates the delivery of applications, allowing developers to concentrate on building their apps rather than dealing with infrastructure concerns. OCI Data Flow autonomously manages the provisioning of infrastructure, network configurations, and dismantling after Spark jobs finish. It also oversees storage and security, significantly reducing the effort needed to create and maintain Spark applications for large-scale data analysis. Furthermore, with OCI Data Flow, there are no clusters that require installation, patching, or upgrading, which translates to both time savings and reduced operational expenses for various projects. Each Spark job is executed using private dedicated resources, which removes the necessity for prior capacity planning. Consequently, organizations benefit from a pay-as-you-go model, only incurring costs for the infrastructure resources utilized during the execution of Spark jobs. This innovative approach not only streamlines the process but also enhances scalability and flexibility for data-driven applications. -
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Wavo
Wavo
We are excited to introduce a groundbreaking big data platform designed for the music industry, which consolidates all relevant information into a single, reliable source to inform strategic decisions. Within the music business sector, numerous data sources exist, but they are often isolated and disjointed. Our innovative platform effectively identifies and integrates these sources, establishing a robust foundation of high-quality data applicable to everyday operations in the music industry. To operate effectively and securely while uncovering unique insights, record labels and agencies need an advanced data management and governance framework that ensures data is consistently accessible, pertinent, and practical. As data sources are integrated into Wavo’s Big Data Platform, machine learning techniques are utilized to categorize the data according to customized templates, facilitating easy access and deep dives into crucial information. This capability empowers every member of a music organization to harness and utilize data that is prepared and organized for immediate application and value creation. Ultimately, our platform serves as a catalyst for smarter decision-making and enhanced operational efficiency across the music business landscape. -
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Exasol
Exasol
An in-memory, column-oriented database combined with a Massively Parallel Processing (MPP) architecture enables the rapid querying of billions of records within mere seconds. The distribution of queries across all nodes in a cluster ensures linear scalability, accommodating a larger number of users and facilitating sophisticated analytics. The integration of MPP, in-memory capabilities, and columnar storage culminates in a database optimized for exceptional data analytics performance. With various deployment options available, including SaaS, cloud, on-premises, and hybrid solutions, data analysis can be performed in any environment. Automatic tuning of queries minimizes maintenance efforts and reduces operational overhead. Additionally, the seamless integration and efficiency of performance provide enhanced capabilities at a significantly lower cost compared to traditional infrastructure. Innovative in-memory query processing has empowered a social networking company to enhance its performance, handling an impressive volume of 10 billion data sets annually. This consolidated data repository, paired with a high-speed engine, accelerates crucial analytics, leading to better patient outcomes and improved financial results for the organization. As a result, businesses can leverage this technology to make quicker data-driven decisions, ultimately driving further success. -
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jethro
jethro
The rise of data-driven decision-making has resulted in a significant increase in business data and a heightened demand for its analysis. This phenomenon is prompting IT departments to transition from costly Enterprise Data Warehouses (EDW) to more economical Big Data platforms such as Hadoop or AWS, which boast a Total Cost of Ownership (TCO) that is approximately ten times less. Nevertheless, these new systems are not particularly suited for interactive business intelligence (BI) applications, as they struggle to provide the same level of performance and user concurrency that traditional EDWs offer. To address this shortcoming, Jethro was created. It serves customers by enabling interactive BI on Big Data without necessitating any modifications to existing applications or data structures. Jethro operates as a seamless middle tier, requiring no maintenance and functioning independently. Furthermore, it is compatible with various BI tools like Tableau, Qlik, and Microstrategy, while also being agnostic to data sources. By fulfilling the needs of business users, Jethro allows thousands of concurrent users to efficiently execute complex queries across billions of records, enhancing overall productivity and decision-making capabilities. This innovative solution represents a significant advancement in the field of data analytics. -
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Informatica Data Engineering
Informatica
Efficiently ingest, prepare, and manage data pipelines at scale specifically designed for cloud-based AI and analytics. The extensive data engineering suite from Informatica equips users with all the essential tools required to handle large-scale data engineering tasks that drive AI and analytical insights, including advanced data integration, quality assurance, streaming capabilities, data masking, and preparation functionalities. With the help of CLAIRE®-driven automation, users can quickly develop intelligent data pipelines, which feature automatic change data capture (CDC), allowing for the ingestion of thousands of databases and millions of files alongside streaming events. This approach significantly enhances the speed of achieving return on investment by enabling self-service access to reliable, high-quality data. Gain genuine, real-world perspectives on Informatica's data engineering solutions from trusted peers within the industry. Additionally, explore reference architectures designed for sustainable data engineering practices. By leveraging AI-driven data engineering in the cloud, organizations can ensure their analysts and data scientists have access to the dependable, high-quality data essential for transforming their business operations effectively. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to make data-driven decisions with confidence. -
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kdb Insights
KX
kdb Insights is an advanced analytics platform built for the cloud, enabling high-speed real-time analysis of both live and past data streams. It empowers users to make informed decisions efficiently, regardless of the scale or speed of the data, and boasts exceptional price-performance ratios, achieving analytics performance that is up to 100 times quicker while costing only 10% compared to alternative solutions. The platform provides interactive data visualization through dynamic dashboards, allowing for immediate insights that drive timely decision-making. Additionally, it incorporates machine learning models to enhance predictive capabilities, identify clusters, detect patterns, and evaluate structured data, thereby improving AI functionalities on time-series datasets. With remarkable scalability, kdb Insights can manage vast amounts of real-time and historical data, demonstrating effectiveness with loads of up to 110 terabytes daily. Its rapid deployment and straightforward data ingestion process significantly reduce the time needed to realize value, while it natively supports q, SQL, and Python, along with compatibility for other programming languages through RESTful APIs. This versatility ensures that users can seamlessly integrate kdb Insights into their existing workflows and leverage its full potential for a wide range of analytical tasks. -
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Toustone
Toustone
Toustone is a team of data professionals who are passionate about making every business data-driven. Located in Albury-Wodonga in regional Australia, Toustone has developed a BI solution that supports a variety of industries. It addresses challenges across productivity, data transparency, cohesion, and trust. This will allow you to make better, more informed data-driven business decisions. Tailored solutions that offer: * Hosting & Data Warehousing * Data Modelling & Visualisation * AI & Data Science * Fully Managed Service This fully integrated, customizable solution is based on industry experience and can be customized to allow any business to create automated daily KPI reports or visual dashboards. This will allow you to quickly and easily dig into the 'why' of the numbers, and gain meaningful, actionable insights. To begin your journey to becoming data-driven, contact Toustone today.