Alternatives to VMware Tanzu Greenplum

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

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.

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

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.

Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.

ClickHouse is an efficient, open-source OLAP database management system designed for high-speed data processing. Its column-oriented architecture facilitates the creation of analytical reports through real-time SQL queries. In terms of performance, ClickHouse outshines similar column-oriented database systems currently on the market. It has the capability to handle hundreds of millions to over a billion rows, as well as tens of gigabytes of data, on a single server per second. By maximizing the use of available hardware, ClickHouse ensures rapid query execution. The peak processing capacity for individual queries can exceed 2 terabytes per second, considering only the utilized columns after decompression. In a distributed environment, read operations are automatically optimized across available replicas to minimize latency. Additionally, ClickHouse features multi-master asynchronous replication, enabling deployment across various data centers. Each node operates equally, effectively eliminating potential single points of failure and enhancing overall reliability. This robust architecture allows organizations to maintain high availability and performance even under heavy workloads.

Kubernetes serves as a powerful foundation for transformative ideas. It enables developers to innovate and deliver projects more rapidly through the premier hybrid cloud and enterprise container solution. Red Hat OpenShift simplifies the process with automated installations, updates, and comprehensive lifecycle management across the entire container ecosystem, encompassing the operating system, Kubernetes, cluster services, and applications on any cloud platform. This service allows teams to operate with speed, flexibility, assurance, and a variety of options. You can code in production mode wherever you prefer to create, enabling a return to meaningful work. Emphasizing security at all stages of the container framework and application lifecycle, Red Hat OpenShift provides robust, long-term enterprise support from a leading contributor to Kubernetes and open-source technology. It is capable of handling the most demanding workloads, including AI/ML, Java, data analytics, databases, and more. Furthermore, it streamlines deployment and lifecycle management through a wide array of technology partners, ensuring that your operational needs are met seamlessly. This integration of capabilities fosters an environment where innovation can thrive without compromise.

VantageCloud by Teradata is a next-gen cloud analytics ecosystem built to unify disparate data sources, deliver real-time AI-powered insights, and drive enterprise innovation with unprecedented efficiency. The platform includes VantageCloud Lake, designed for elastic scalability and GPU-accelerated AI workloads, and VantageCloud Enterprise, which supports robust analytics capabilities across secure hybrid and multi-cloud deployments. It seamlessly integrates with leading cloud providers like AWS, Azure, and Google Cloud, and supports open table formats like Apache Iceberg for greater data flexibility. With built-in support for advanced analytics, workload management, and cross-functional collaboration, VantageCloud provides the agility and power modern enterprises need to accelerate digital transformation and optimize operational outcomes.

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.

When you have the expertise of an enterprise partner combined with a scalable, easy-to-use data management suite, you can take back control of your data, access it from anywhere, ensure security and compliance, and unlock its power to grow your business. Why Use Sesame Software? Relational Junction builds, populates, and incrementally refreshes your data automatically. Enhance Data Quality - Convert data from multiple sources into a consistent format – leading to more accurate data, which provides the basis for solid decisions. Gain Insights - Automate the update of information into a central location, you can use your in-house BI tools to build useful reports to avoid costly mistakes. Fixed Price - Avoid high consumption costs with yearly fixed prices and multi-year discounts no matter your data volume.

Oversee and protect the entire data lifecycle from the Edge to AI across any cloud platform or data center. Functions seamlessly within all leading public cloud services as well as private clouds, providing a uniform public cloud experience universally. Unifies data management and analytical processes throughout the data lifecycle, enabling access to data from any location. Ensures the implementation of security measures, regulatory compliance, migration strategies, and metadata management in every environment. With a focus on open source, adaptable integrations, and compatibility with various data storage and computing systems, it enhances the accessibility of self-service analytics. This enables users to engage in integrated, multifunctional analytics on well-managed and protected business data, while ensuring a consistent experience across on-premises, hybrid, and multi-cloud settings. Benefit from standardized data security, governance, lineage tracking, and control, all while delivering the robust and user-friendly cloud analytics solutions that business users need, effectively reducing the reliance on unauthorized IT solutions. Additionally, these capabilities foster a collaborative environment where data-driven decision-making is streamlined and more efficient.

SwiftStack is a versatile data storage and management solution designed for applications and workflows that rely heavily on data, enabling effortless access to information across both private and public infrastructures. Its on-premises offering, SwiftStack Storage, is a scalable and geographically dispersed object and file storage solution that can begin with tens of terabytes and scale to hundreds of petabytes. By integrating your current enterprise data into the SwiftStack platform, you can enhance accessibility for your contemporary cloud-native applications without the need for another extensive storage migration, utilizing your existing tier 1 storage effectively. SwiftStack 1space further optimizes data management by distributing information across various clouds, both public and private, based on operator-defined policies, thereby bringing applications and users closer to their needed data. This system creates a unified addressable namespace, ensuring that data movement within the platform remains seamless and transparent to both applications and users alike, enhancing the overall efficiency of data access and management. Moreover, this approach simplifies the complexities associated with data handling in multi-cloud environments, allowing organizations to focus on their core operations.

Sadas Engine is the fastest columnar database management system in cloud and on-premise. Sadas Engine is the solution that you are looking for. * Store * Manage * Analyze It takes a lot of data to find the right solution. * BI * DWH * Data Analytics The fastest columnar Database Management System can turn data into information. It is 100 times faster than transactional DBMSs, and can perform searches on large amounts of data for a period that lasts longer than 10 years.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.

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.

biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

IBM® Db2® Warehouse delivers a client-managed, preconfigured data warehouse solution that functions effectively within private clouds, virtual private clouds, and various container-supported environments. This platform is crafted to serve as the perfect hybrid cloud option, enabling users to retain control over their data while benefiting from the flexibility typically associated with cloud services. Featuring integrated machine learning, automatic scaling, built-in analytics, and both SMP and MPP processing capabilities, Db2 Warehouse allows businesses to integrate AI solutions more swiftly and effortlessly. You can set up a pre-configured data warehouse in just minutes on your chosen supported infrastructure, complete with elastic scaling to facilitate seamless updates and upgrades. By implementing in-database analytics directly where the data is stored, enterprises can achieve quicker and more efficient AI operations. Moreover, with the ability to design your application once, you can transfer workloads to the most suitable environment—be it public cloud, private cloud, or on-premises—while requiring little to no modifications. This flexibility ensures that businesses can optimize their data strategies effectively across diverse deployment options.

DashDB Local, the latest addition to IBM's dashDB suite, enhances the company's hybrid data warehouse strategy by equipping organizations with a highly adaptable architecture that reduces the cost of analytics in the rapidly evolving landscape of big data and cloud computing. This is achievable thanks to a unified analytics engine that supports various deployment methods in both private and public cloud environments, allowing for seamless migration and optimization of analytics workloads. Now available for those who prefer deploying in a hosted private cloud or an on-premises private cloud via a software-defined infrastructure, dashDB Local presents a versatile choice. From an IT perspective, it streamlines deployment and management through the use of container technology, ensuring elastic scalability and straightforward maintenance. On the user side, dashDB Local accelerates the data acquisition process, applies tailored analytics for specific scenarios, and effectively turns insights into actionable operations, ultimately enhancing overall productivity. This comprehensive approach empowers organizations to harness their data more effectively than ever before.

BryteFlow creates remarkably efficient automated analytics environments that redefine data processing. By transforming Amazon S3 into a powerful analytics platform, it skillfully utilizes the AWS ecosystem to provide rapid data delivery. It works seamlessly alongside AWS Lake Formation and automates the Modern Data Architecture, enhancing both performance and productivity. Users can achieve full automation in data ingestion effortlessly through BryteFlow Ingest’s intuitive point-and-click interface, while BryteFlow XL Ingest is particularly effective for the initial ingestion of very large datasets, all without the need for any coding. Moreover, BryteFlow Blend allows users to integrate and transform data from diverse sources such as Oracle, SQL Server, Salesforce, and SAP, preparing it for advanced analytics and machine learning applications. With BryteFlow TruData, the reconciliation process between the source and destination data occurs continuously or at a user-defined frequency, ensuring data integrity. If any discrepancies or missing information arise, users receive timely alerts, enabling them to address issues swiftly, thus maintaining a smooth data flow. This comprehensive suite of tools ensures that businesses can operate with confidence in their data's accuracy and accessibility.

Integrate data within a business framework to enable users to derive insights through our comprehensive data and analytics cloud platform. The SAP Data Warehouse Cloud merges analytics and data within a cloud environment that features data integration, databases, data warehousing, and analytical tools, facilitating the emergence of a data-driven organization. Utilizing the SAP HANA Cloud database, this software-as-a-service (SaaS) solution enhances your comprehension of business data, allowing for informed decision-making based on up-to-the-minute information. Seamlessly connect data from various multi-cloud and on-premises sources in real-time while ensuring the preservation of relevant business context. Gain insights from real-time data and conduct analyses at lightning speed, made possible by the capabilities of SAP HANA Cloud. Equip all users with the self-service functionality to connect, model, visualize, and securely share their data in an IT-governed setting. Additionally, take advantage of pre-built industry and line-of-business content, templates, and data models to further streamline your analytics process. This holistic approach not only fosters collaboration but also enhances productivity across your organization.

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.

WhereScape is a tool that helps IT organizations of any size to use automation to build, deploy, manage, and maintain data infrastructure faster. WhereScape automation is trusted by more than 700 customers around the world to eliminate repetitive, time-consuming tasks such as hand-coding and other tedious aspects of data infrastructure projects. This allows data warehouses, vaults and lakes to be delivered in days or weeks, rather than months or years.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

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.

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.

DataLakeHouse.io Data Sync allows users to replicate and synchronize data from operational systems (on-premises and cloud-based SaaS), into destinations of their choice, primarily Cloud Data Warehouses. DLH.io is a tool for marketing teams, but also for any data team in any size organization. It enables business cases to build single source of truth data repositories such as dimensional warehouses, data vaults 2.0, and machine learning workloads. Use cases include technical and functional examples, including: ELT and ETL, Data Warehouses, Pipelines, Analytics, AI & Machine Learning and Data, Marketing and Sales, Retail and FinTech, Restaurants, Manufacturing, Public Sector and more. DataLakeHouse.io has a mission: to orchestrate the data of every organization, especially those who wish to become data-driven or continue their data-driven strategy journey. DataLakeHouse.io, aka DLH.io, allows hundreds of companies manage their cloud data warehousing solutions.

Our partnership combines Pandera's extensive expertise in enterprise, industry, and technology with the cutting-edge innovations of Google Cloud. By merging business and data solutions, we create impactful synergies that facilitate modernization in the cloud. Upgrade your data platform to fully harness the potential of your data while minimizing expenses and speeding up data-informed decision making processes. We revolutionize how organizations utilize and interpret information, enhancing their capabilities for data-driven decisions. Our comprehensive services empower you to lead innovation by offering both strategic guidance and technical know-how, ensuring you can fully exploit your data's capabilities. Additionally, we assist in formulating a strategic roadmap and practical methods for your cloud adoption across various environments, whether public, private, or hybrid, ultimately fostering a more agile and responsive organization.

SAP BW/4HANA is an integrated data warehouse solution that utilizes SAP HANA technology. Serving as the on-premise component of SAP’s Business Technology Platform, it facilitates the consolidation of enterprise data, ensuring a unified and agreed-upon view across the organization. By providing a single source for real-time insights, it simplifies processes and fosters innovation. Leveraging the capabilities of SAP HANA, this advanced data warehouse empowers businesses to unlock the full potential of their data, whether sourced from SAP applications, third-party systems, or diverse data formats like unstructured, geospatial, or Hadoop-based sources. Organizations can transform their data management practices to enhance efficiency and agility, enabling the deployment of live insights at scale, whether hosted on-premise or in the cloud. Additionally, it supports the digitization of all business sectors, while integrating seamlessly with SAP’s digital business platform solutions. This approach allows companies to drive substantial improvements in decision-making and operational efficiency.

A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.

EntelliFusion by Teksouth is a fully managed, end to end solution. EntelliFusion's architecture is a one-stop solution for outfitting a company's data infrastructure. Instead of trying to put together multiple platforms for data prep, data warehouse and governance, and then deploying a lot of IT resources to make it all work, EntelliFusion's architecture offers a single platform. EntelliFusion unites data silos into a single platform that allows for cross-functional KPI's. This creates powerful insights and holistic solutions. EntelliFusion's "military born" technology has been able to withstand the rigorous demands of the USA's top echelon in military operations. It was scaled up across the DOD over twenty years. EntelliFusion is built using the most recent Microsoft technologies and frameworks, which allows it to continue being improved and innovated. EntelliFusion is data-agnostic and infinitely scalable. It guarantees accuracy and performance to encourage end-user tool adoption.

IBM® Sterling Transformation Extender empowers organizations to seamlessly integrate transactions involving customers, suppliers, and business partners across their entire operations. This tool automates the intricate processes of data transformation and validation, accommodating a wide array of formats and standards. Users can execute data transformations in both on-premises settings and cloud environments. Furthermore, it offers advanced transformation capabilities that include metadata for mapping, compliance verification, and related processing functionalities tailored to specific sectors, such as finance, healthcare, and supply chain management. The system supports both structured and unstructured data, along with custom formats, and is compatible with on-premises, hybrid, private, and public cloud configurations. With a strong focus on user experience, it features RESTful APIs for enhanced functionality. The solution facilitates complex transformations and validation of data across multiple formats, enabling any-to-any data transformation while being containerized for cloud deployment. Additionally, it includes industry-specific packs to further streamline operations and enhance efficiency.

Sequel provides business intelligence solutions tailored for Power Systems™ that operate on IBM i. With robust capabilities for querying and reporting, Sequel simplifies the process of accessing, analyzing, and distributing data in the way that best suits your needs. Offering cost-effective IBM i business intelligence, Sequel caters to IT professionals, business users, and executives alike. Currently, thousands of clients around the globe rely on Sequel to obtain the necessary data precisely when they require it. IT personnel can swiftly deploy the software, seamlessly integrate pre-existing queries from Query/400, and deliver data to end users at remarkable speeds. Furthermore, Sequel’s user-friendly interfaces—including the traditional green screen, the graphical user interface known as Sequel Viewpoint, and web-based options—enable IT to empower business users and executives with direct data access, allowing them to efficiently address more pressing requests. The landscape of iSeries reporting has truly become more manageable and accessible. This enhancement not only streamlines operations but also fosters a data-driven culture within organizations.

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Tugger swiftly and securely pulls your data out of your business systems and into data analytics and visualisation tools such as Power BI and Tableau. This enables you to produce state of the art interactive reports. Once your data has been copied across, Tugger also gets you set up with key business reports for a complete end-to-end solution. This saves you masses of time. Tugger is a no code solution that makes your life easier by removing the need for any manual API integrations and reduces the risk of skewed data. No technical knowledge is required and all users get access to Tugger's excellent support team. Tugger provides data connectors for HubSpot, Harvest, Microsoft Teams, JIRA, GitHub, simPRO and more.

VeloDB, which utilizes Apache Doris, represents a cutting-edge data warehouse designed for rapid analytics on large-scale real-time data. It features both push-based micro-batch and pull-based streaming data ingestion that occurs in mere seconds, alongside a storage engine capable of real-time upserts, appends, and pre-aggregations. The platform delivers exceptional performance for real-time data serving and allows for dynamic interactive ad-hoc queries. VeloDB accommodates not only structured data but also semi-structured formats, supporting both real-time analytics and batch processing capabilities. Moreover, it functions as a federated query engine, enabling seamless access to external data lakes and databases in addition to internal data. The system is designed for distribution, ensuring linear scalability. Users can deploy it on-premises or as a cloud service, allowing for adaptable resource allocation based on workload demands, whether through separation or integration of storage and compute resources. Leveraging the strengths of open-source Apache Doris, VeloDB supports the MySQL protocol and various functions, allowing for straightforward integration with a wide range of data tools, ensuring flexibility and compatibility across different environments.

Experience immediate advantages for your business right after installation. Discover the functionality of our system, which stands out as the quickest and most user-friendly solution for evaluating extensive geographically dispersed data. This innovative method of analytics breaks free from the limitations typically found in conventional big data warehouses, database designs, and edge computing frameworks. Gain insights into the platform's features that facilitate centralized management and control, streamline automated software setup and orchestration, and support data input and storage across diverse geographic locations. By adopting this new approach, you can enhance your data capabilities and drive growth more effectively than ever before.

Qlik Compose for Data Warehouses offers a contemporary solution that streamlines and enhances the process of establishing and managing data warehouses. This tool not only automates the design of the warehouse but also generates ETL code and implements updates swiftly, all while adhering to established best practices and reliable design frameworks. By utilizing Qlik Compose for Data Warehouses, organizations can significantly cut down on the time, expense, and risk associated with BI initiatives, regardless of whether they are deployed on-premises or in the cloud. On the other hand, Qlik Compose for Data Lakes simplifies the creation of analytics-ready datasets by automating data pipeline processes. By handling data ingestion, schema setup, and ongoing updates, companies can achieve a quicker return on investment from their data lake resources, further enhancing their data strategy. Ultimately, these tools empower organizations to maximize their data potential efficiently.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.