Alternatives to Initial State

Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.

In many IoT solutions, the cloud serves merely as a final destination for data. However, with SkkyHub™, the cloud transforms into a dynamic conduit that facilitates real-time data streaming from any location to any desired endpoint. This innovative platform allows for seamless connections between operational technology (OT) and information technology (IT), enables machine-to-machine (M2M) communication, and establishes links among remote sites, all while maintaining minimal network latency measured in microseconds. Whether you need to monitor data from your devices or plants or send commands, updates, and configurations back to your system—SkkyHub™ supports both functionalities effortlessly. The DataHub gateway and endpoints equipped with ETK utilize the DHTP protocol to maintain a data-only connection, ensuring that no VPNs are necessary and keeping your OT and IT networks intact. By utilizing outbound DHTP connections, all inbound firewall ports remain secure and closed, eliminating any potential attack surfaces in your facility, devices, or office. With the ability to stream up to 100,000 data points in real time, you can gain a comprehensive overview of your operations. Additionally, with three distinct service levels—Basic, Standard, and Professional—you can select a service option that best suits your requirements and budget, enhancing the flexibility and scalability of your IoT solutions. This approach empowers organizations to harness the full potential of their data while ensuring robust security and operational efficiency.

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.

Create advanced applications that streamline workflows, provide ongoing operational monitoring, and manage processes in real-time. Your solutions are designed to operate continuously on cloud servers as well as edge devices. Utilizing a familiar spreadsheet interface, you don't need to be a programmer; instead, you can simply drag and drop data, enter formulas into cells, and create charts in an intuitive manner. All the essential protocols required for connecting to sensors and machinery, such as MQTT, REST, and OPC UA, are readily available. Streamsheets specializes in processing streaming data, including formats like MQTT and Kafka. You can select a topic stream, modify it as needed, and send it back into the vast world of streaming data. With REST, you gain access to a multitude of web services, while Streamsheets enables seamless connections both ways. Not only do Streamsheets operate in the cloud and on your servers, but they can also be deployed on edge devices, including Raspberry Pi, expanding their versatility to various environments. This flexibility allows businesses to adapt their systems according to their specific operational needs.

We handle all aspects necessary to energize your IoT innovations, utilizing cutting-edge technology and communication networks to deliver a secure and actionable insight into your internet of things. IoTStream facilitates the development of new products, services, and business models, helping you transform your concepts into tangible outcomes. With our easy-to-use IoT stack and a strong, dependable pre-built infrastructure, you can concentrate on what matters most to your business. By employing industry-standard encryption for device connectivity, we guarantee that your data remains protected from unauthorized access. Furthermore, in addition to offering real-time data streaming, we also store your information in the cloud, which saves you both time and money by removing the need for personal storage management. Our solutions seamlessly integrate with leading platforms, contributing to a comprehensive IoT ecosystem that connects you globally. From the first prototype to the deployment of your millionth device, our scalable solutions empower you to achieve your ultimate potential, ensuring your growth is both sustainable and innovative.

No matter the sector you operate in, the GroveStreams Data Analytics Platform equips you with essential tools and components necessary for crafting solutions that meet the specific demands of your clientele. For examples, check out our Developers page to see various applications. You can model time-of-use block rates across numerous sites, accurately track energy consumption through thousands of meters and sub-meters for energy billing at the apartment level, and set alerts for when energy usage surpasses set thresholds, enabling proactive measures to curb consumption. Additionally, you can oversee water flow in challenging or remote areas, such as apartments, to identify potential leakages or excessive flow that could incur costs. Furthermore, you can keep tabs on propane tank levels in rural areas, optimizing delivery routes accordingly. The GroveStreams Data Analytics Platform stands out as a state-of-the-art cloud-based solution, delivering real-time decision-making capabilities to a wide array of users and devices as data streams in from diverse sources, ultimately enhancing operational efficiency. This comprehensive platform is designed to empower businesses to make informed decisions based on real-time analytics.

Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.

Enhance your operational effectiveness, minimize risks, and optimize asset usage with the XMPro IoT Application Suite. This innovative platform seamlessly incorporates IoT solutions into current business processes, empowering more informed decision-making. Featuring robust integration options, it allows for secure connections between diverse systems, real-time event stream processing to handle substantial data volumes from multiple sources, comprehensive analytics, management of IoT devices, and additional functionalities. By leveraging these capabilities, businesses can achieve greater efficiency and adaptability in a rapidly changing environment.

Regardless of whether you're overseeing 3,000 devices or 3,000,000, each interaction with a device produces valuable data. Can you effectively monitor these devices in real-time? Are you caught off guard by unexpected bills due to excessive usage? Are your deployed devices compliant with established policies? Enter Simetric, an innovative insights and management platform designed for your IoT ecosystem, all accessible through a single interface. It is flexible, dynamic, and scalable, allowing for swift configuration to meet your specific business requirements. You can get started in just a few clicks and be operational within minutes. Enhance your responsiveness and insights for clients of all sizes with ease. The future lies in recurring managed services, and with Simetric, that future is promising. Say farewell to monthly audits and welcome real-time cost control and oversight of every connection. Simetric streamlines the intricate data flows from extensive networks of connected devices into one comprehensive view. This platform provides you with immediate clarity on challenges and opportunities throughout your operational landscape, ensuring that you are always informed and ready to act. The capabilities of Simetric empower organizations to optimize their device management strategies effectively.

Effortlessly link your hardware to the Ubidots cloud using a vast array of over 200 libraries, SDKs, and tutorials that facilitate integration through protocols such as HTTP, MQTT, TCP, and UDP, along with the ability to parse custom or industrial protocols. Regardless of whether you are integrating a single device or a thousand, Ubidots maintains a consistent level of effort required for onboarding, with its device types streamlining the process. Each time new hardware is identified, the system replicates the setup of creating a new device in Ubidots, automatically configuring its variables, properties, and visual representation. Additionally, you have the option to develop your own API, allowing you to parse data into a Node.js cloud GET or POST HTTP function, thereby extending your integration capabilities beyond the inherent architecture of Ubidots. This flexibility enables a more customized approach to device connectivity and data management.

Cloud IoT Core is a comprehensive managed service designed to facilitate the secure connection, management, and data ingestion from a vast array of devices spread across the globe. By integrating with other services on the Cloud IoT platform, it offers a holistic approach to the collection, processing, analysis, and visualization of IoT data in real-time, ultimately enhancing operational efficiency. Leveraging Cloud Pub/Sub, Cloud IoT Core can unify data from various devices into a cohesive global system that works seamlessly with Google Cloud's data analytics services. This capability allows users to harness their IoT data streams for sophisticated analytics, visualizations, and machine learning applications, thereby improving operational workflows, preempting issues, and developing robust models that refine business processes. Additionally, it enables secure connections for any number of devices—whether just a few or millions—through protocol endpoints that utilize automatic load balancing and horizontal scaling, ensuring efficient data ingestion regardless of the situation. As a result, businesses can gain invaluable insights and drive more informed decision-making processes through the power of their IoT data.

UrsaLeo provides a cutting-edge 3D platform that merges digital twin technology with both real-time and historical data sourced from IoT streams, document management systems, maintenance logs, and various enterprise applications. This innovative solution enables the integration of industrial metaverse capabilities into any software platform seamlessly. The process begins with creating a digital twin based on CAD designs or LIDAR/photogrammetry scans, accompanied by data accessed through an API. UrsaLeo's Gemini product can be incorporated into any SaaS platform that utilizes a React framework, offering flexibility and adaptability. Powered by a robust backend, Gemini’s data translation service aggregates data from multiple sources and issues alerts whenever set thresholds are reached. Upon alert activation, Gemini has the capability to either zoom in or employ a virtual camera to highlight the origin of any incident or issue. Additionally, its visual reporting feature vividly illustrates these failures, allowing users to analyze past events effectively and implement necessary changes for improvement. With such an advanced approach, UrsaLeo is redefining how organizations interact with their operational data in an immersive environment.

GribStream is an advanced API that efficiently delivers historical weather forecasts, allowing users to quickly access both historical and current weather information sourced from the National Blend of Models (NBM) and the Global Forecast System (GFS). It is tailored for organizations, meteorologists, and researchers, enabling the retrieval of vast amounts of data—tens of thousands of data points—every hour, all within a matter of seconds through a single HTTP request. The platform boasts a user-friendly API, complete with open source clients and comprehensive documentation, ensuring seamless integration for users. With support for multiple output formats, including CSV, Parquet, JSON lines, and various image formats such as PNG, JPG, and TIFF, it allows for flexible data handling. Users can easily specify their desired locations using latitude and longitude coordinates and can also define specific time ranges for the data they wish to access. Additionally, GribStream is continuously enhancing its features by working on incorporating more datasets, expanding result formats, improving aggregation methods, and developing notification systems to better serve its users. This ongoing commitment to improvement ensures that GribStream remains a valuable tool for weather data analysis and decision-making.

Nussknacker allows domain experts to use a visual tool that is low-code to help them create and execute real-time decisioning algorithm instead of writing code. It is used to perform real-time actions on data: real-time marketing and fraud detection, Internet of Things customer 360, Machine Learning inferring, and Internet of Things customer 360. A visual design tool for decision algorithm is an essential part of Nussknacker. It allows non-technical users, such as analysts or business people, to define decision logic in a clear, concise, and easy-to-follow manner. With a click, scenarios can be deployed for execution once they have been created. They can be modified and redeployed whenever there is a need. Nussknacker supports streaming and request-response processing modes. It uses Kafka as its primary interface in streaming mode. It supports both stateful processing and stateless processing.

ThingSpeak™ is a cloud-based analytics platform designed for the Internet of Things (IoT) that enables users to collect, visualize, and analyze real-time data streams. It offers immediate graphical representations of the information submitted by connected devices, making it easier to interpret data. Additionally, the platform allows users to run MATLAB® code, facilitating real-time analysis and processing of incoming data. Often utilized for developing prototypes and proof of concept IoT applications that necessitate analytical capabilities, ThingSpeak exemplifies the growing trend of interconnected devices. This trend, known as the Internet of Things (IoT), involves a multitude of embedded devices that connect to the Internet, enabling communication between devices and humans alike. These devices frequently send sensor data to cloud storage and computing systems, where it is analyzed to extract valuable insights, thanks to the affordability of cloud computing and the surge in device connectivity. As these technologies advance, the potential applications for IoT continue to expand, paving the way for innovative solutions across various industries.

Davra IoT empowers businesses, fleet operators, original equipment manufacturers (OEMs), municipalities, and various organizations to conceptualize, develop, and swiftly launch industrial-grade IoT applications on a dependable, secure, and scalable platform. Bring your IoT initiative to market in under 50 days, and enjoy a system that prioritizes integrations. Significantly cut your project costs by as much as 80%, while accessing comprehensive analytics that include descriptive, diagnostic, predictive, and prescriptive insights. Utilize our cloud-based streaming analytics alongside machine learning, natural language processing, and artificial intelligence capabilities directly at the network's edge. Benefit from HTML5 dashboard visualizations, sophisticated geo-mapping, and an intuitive layout manager, among other features. Gain access to a thorough developer suite that includes source control, versioning, and a full code editor. Achieve an "asset-centric view" of your IoT devices by incorporating both static and dynamic attributes into your applications. Additionally, take advantage of a fully microservice-oriented design that supports infrastructure libraries and runtime engines for enhanced efficiency and performance. This comprehensive approach ensures that your IoT solutions are not only functional but also adaptable to future technological advancements.

In envisioning the city of tomorrow, it is essential to implement advanced data visualization and management tools that will enable the analysis of data streams, facilitate the operation and monitoring of various systems, and ensure the protection of the environment, city infrastructure, investments, and most importantly, the residents. The establishment of a digital twin will empower city officials and department leaders to respond promptly to real-time data, which is crucial for enhancing the urban experience that modern cities aspire to create. Through this innovative smart city data visualization and management platform, planners, department heads, and governmental bodies can effectively lower infrastructure expenses and service needs. This platform's capabilities allow for thorough monitoring of all systems and their interactions, complete with predefined alerts, enabling proactive management of city infrastructure elements such as streetlights, surveillance cameras, public transport, road conditions, and more, all while minimizing staffing requirements by utilizing cutting-edge Digital Twin technology. Ultimately, this approach not only enhances operational efficiency but also fosters a safer and more responsive urban environment for all citizens.

The Waylay platform is a modular IoT solution that offers top-tier OEM technology for backend development and operational processes, facilitating the rapid delivery of IoT solutions on a large scale. It features sophisticated rule logic modeling, execution capabilities, and comprehensive lifecycle management. This platform allows for the automation of various data workflows, regardless of their complexity. Designed to seamlessly handle the diverse data patterns found in IoT, OT, and IT, Waylay integrates both streaming and time series analytics into a single, collaborative intelligence environment. By providing non-developer teams with user-friendly, self-service apps focused on key performance indicators, it significantly shortens the time to market for IoT products. Users can identify the most effective automation tools for their specific IoT applications and evaluate them against established benchmarks. Additionally, developing IoT applications diverges significantly from traditional IT development, as it entails connecting the physical realm of Operations Technology, which involves sensors and actuators, with the digital landscape of Information Technology, encompassing databases and software systems. This bridging of worlds highlights the unique challenges and opportunities presented by IoT application development.

The RemoteAware™ GenAI Analytics Platform for IoT revolutionizes the interpretation of intricate sensor and device data streams by delivering clear and actionable insights through cutting-edge generative AI techniques. This platform is capable of ingesting and normalizing massive volumes of diverse IoT data sourced from edge gateways, cloud APIs, or remote assets, utilizing scalable AI pipelines to identify anomalies, predict equipment malfunctions, and produce prescriptive recommendations articulated in straightforward narratives. With a cohesive, web-based dashboard, users benefit from immediate access to crucial performance metrics, customizable alerts, and notifications based on set thresholds, along with the ability to dynamically drill down for time-series analysis. Additionally, the platform's generative summary reports distill extensive datasets into succinct operational briefs, while its capabilities in root-cause analysis and what-if simulations support proactive maintenance and optimal resource distribution. Ultimately, this platform empowers organizations to make data-driven decisions efficiently and effectively.

Spark Streaming extends the capabilities of Apache Spark by integrating its language-based API for stream processing, allowing you to create streaming applications in the same manner as batch applications. This powerful tool is compatible with Java, Scala, and Python. One of its key features is the automatic recovery of lost work and operator state, such as sliding windows, without requiring additional code from the user. By leveraging the Spark framework, Spark Streaming enables the reuse of the same code for batch processes, facilitates the joining of streams with historical data, and supports ad-hoc queries on the stream's state. This makes it possible to develop robust interactive applications rather than merely focusing on analytics. Spark Streaming is an integral component of Apache Spark, benefiting from regular testing and updates with each new release of Spark. Users can deploy Spark Streaming in various environments, including Spark's standalone cluster mode and other compatible cluster resource managers, and it even offers a local mode for development purposes. For production environments, Spark Streaming ensures high availability by utilizing ZooKeeper and HDFS, providing a reliable framework for real-time data processing. This combination of features makes Spark Streaming an essential tool for developers looking to harness the power of real-time analytics efficiently.

Easily integrate a wide variety of secondary sources into the platform, including a vast array of tens of thousands of pre-loaded feeds available from the outset. Your automated feeds will be meticulously labeled and parsed in the background without the need for any manual effort. Utilizing tags allows for efficient retrieval and analysis at a later time. Consolidate all your primary information, news updates, third-party analyses, and completed intelligence reports in one centralized location, streamlining your analysis and retrieval process. Advanced research functionalities empower you to initiate projects, oversee sources, and monitor your progress effectively. You can design, produce, distribute, and oversee your personalized deliverables straight from the system. If you require impartial insights, you can monitor who is engaging with your emails and which content they are accessing, enhancing your ability to tailor future communications. Enjoy limitless data streams tailored to your organization, specific markets, or particular topics. Benefit from customized workflows and expert consulting on processes, along with the freedom to distribute an unlimited number of newsletters each month. Comprehensive usage metrics and return on investment evaluations are also available to ensure you maximize your effectiveness. This all-in-one system enhances collaboration and efficiency, making it an invaluable tool for any organization.

ClearBlade is at the forefront of enterprise digital transformation by utilizing Intelligent Assets. Their innovative "no-code" IoT Application, built on the ClearBlade IoT & Edge Platform, combines AI, edge-native computing, and remarkable adaptability, enabling operational teams to accomplish tasks efficiently. In the aviation sector, mechanics face the challenge of maintaining aircraft according to a rigorous schedule that requires precise tools and equipment. Unfortunately, equipment on airfields is frequently misplaced, lost, or stolen, leading to costly replacements, operational delays, and unnecessary redundancies. To combat this, ClearBlade Edges are strategically deployed to gather data from cameras, sensors, and various infrastructures, all of which streams to the ClearBlade Platform to standardize and process the information into a unified data system. This integrated data feeds into Business Intelligence dashboards, providing valuable operational insights. Additionally, the rapid market introduction ensures compliance with distancing, occupancy, and safety mandates, thereby enhancing overall operational efficiency. By leveraging these advanced technologies, organizations can significantly improve their resource management and decision-making processes.

Cumulocity IoT stands out as the premier low-code, self-service IoT platform, uniquely offering pre-integration with essential tools for rapid outcomes, including device connectivity and management, application enablement, integration, and advanced analytics for both streaming and predictive insights. Break free from restrictive proprietary technology ecosystems, as this platform is entirely open, allowing you to connect any device today or in the future. Customize your setup by bringing your own hardware and selecting the components that suit your needs best. You can quickly jump into the IoT world within minutes by connecting a device, monitoring its data, and crafting an interactive dashboard in real-time. Additionally, you can establish rules to oversee and respond to events—all without needing IT assistance or writing any code! Effortlessly integrate fresh IoT data into the existing core enterprise systems, applications, and processes that have supported your business for years, again without the need for coding, ensuring seamless data flow. This capability enhances your understanding, providing you with richer context to make informed decisions and improve overall business outcomes.

Utilizing a microservices architecture for IoT backed by Kubernetes allows for limitless scalability and the ability to adjust resources as needed, all while maintaining high performance and resilience against failures. Streamline the data flow from your IoT devices to any analytics platform through a seamlessly integrated Kafka channel, enabling you to modify device behavior based on the insights gained from processing results. The creators of this platform bring over 25 years of expertise in IoT, telecommunications, and big data, leveraging their extensive knowledge to develop an exceptional IoT solution suitable for both large enterprises and emerging startups. Your data remains secure with encryption both during transmission and while stored. Additionally, the platform offers built-in user authentication and authorization features via an open OAuth2 / UMA interface. Easily connect and manage IoT devices through a cloud-based graphical user interface or a RESTful API. Gather and visualize telemetry data using the integrated dashboard or utilize third-party tools such as Grafana for enhanced analysis and presentation of data insights. This comprehensive IoT platform ensures that you have the tools necessary to effectively handle your data and device management needs.

Experience seamless broadcasting of your video content, whether live or on-demand, to any device globally, all through a user-friendly video platform. Zidivo transcends a mere streaming service; it acts as your collaborative technical ally in all aspects of video delivery. Understanding that every video project comes with its own set of unique needs, we partner with you to ensure optimal outcomes consistently. Effortlessly stream or host video content securely from anywhere in the world, tailored to any device. Our professional video platform encompasses everything required for live streaming or on-demand hosting, with dedicated support from our in-house streaming professionals. You maintain complete oversight of your broadcasts, enabling you to stream in superior quality directly from your camera equipment to any device worldwide. Say goodbye to ads and distractions, and enjoy a consistently professional and dependable live streaming service. Setting up your encoder, selecting your player, and obtaining your embed code can be accomplished in just five straightforward steps, making the process efficient and accessible for all users. With Zidivo, you can count on a comprehensive solution that simplifies the complexities of video delivery while enhancing your overall broadcast experience.

The Datastreams Platform represents a cutting-edge solution aimed at streamlining the processes involved in capturing, sharing, and managing data both within organizations and across different entities. From the very first phase of gathering appropriate data to achieving a reliable, personalized view of that data, our Platform guides users throughout the entire experience. Thanks to its advanced streaming technology, optimized performance, and patented data capturing features, the process is not only efficient but also straightforward; coupled with our commitment to privacy by design, data collaboration has become accessible to all users! At its core, the Platform consists of the Data Operations Unit (known as Datastreams Operator), which can be customized with various modules to cater to specific needs, such as implementing data quality checks on web or mobile platforms, or compliant segmentation of target groups. With a focus on enhancing both IT and business flexibility, users can initiate data collaboration in just a matter of days by easily connecting to various data sources, thus ensuring a rapid and effective start to their data-driven initiatives.

Introducing the only webinar software that offers unlimited possibilities, WebinarJEO empowers you to host high-quality webinars tailored for any event. Whether it's a live session, a recorded presentation, evergreen content, or a unique “recorded-live” experience, WebinarJEO ensures each webinar is expertly crafted to captivate your audience. With its cutting-edge True Live-Streaming technology, you can host an unlimited number of webinars for countless attendees while maintaining an exceptional streaming quality. The platform's advanced interactive features enable unparalleled audience engagement through unique interactive whiteboards, seamless live screen-sharing, and tools like quizzes, polls, and surveys. You can facilitate both public and private chats, creating an immersive environment that encourages audience participation and action. WebinarJEO is well-regarded as a safe and secure long-term investment, boasting universal compatibility and infinite scalability, allowing it to expand alongside your needs. As your webinars grow in size and complexity, WebinarJEO consistently delivers a dependable performance, making it an invaluable tool for any presenter. The platform not only enhances your webinars but also ensures your audience remains engaged throughout the entire experience.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Facilitates seamless data exchange among components within microservice architectures. When utilized as a communication method for microservices, it not only streamlines integration but also enhances reliability and scalability. The system allows for reading and writing data in nearly real-time, while providing the flexibility to set data throughput and storage durations according to specific requirements. Users can finely configure resources for processing data streams, accommodating anything from small streams of 100 KB/s to more substantial ones at 100 MB/s. Additionally, Yandex Data Transfer enables the delivery of a single stream to various targets with distinct retention policies. Data is automatically replicated across multiple availability zones that are geographically distributed, ensuring redundancy and accessibility. After the initial setup, managing data streams can be done centrally through either the management console or the API, offering convenient oversight. It also supports continuous data collection from diverse sources, including website browsing histories and application logs, making it a versatile tool for real-time analytics. Overall, Yandex Data Streams stands out for its robust capabilities in handling various data ingestion needs across different platforms.

Savi Visibility offers real-time insights by collecting live data from various sources, including sensor readings, GPS, telematics, ocean vessel tracking, and proprietary datasets, and integrates this streaming information with historical data like EDI messages. This innovative solution leverages billions of real-time data points to enhance your decision-making regarding essential business assets. By utilizing current information, including weather conditions, transit statuses, and revised schedules, companies can consistently meet delivery deadlines, thereby boosting customer satisfaction. Moreover, the system can issue immediate alerts if a shipment remains stationary for too long in a high-risk area, empowering supply chain managers to ensure timely and secure delivery of critical cargo. This capability not only improves operational efficiency but also enhances the overall reliability of the supply chain process.

Apache DataFusion is a versatile and efficient query engine crafted in Rust, leveraging Apache Arrow for its in-memory data representation. It caters to developers engaged in creating data-focused systems, including databases, data frames, machine learning models, and real-time streaming applications. With its SQL and DataFrame APIs, DataFusion features a vectorized, multi-threaded execution engine that processes data streams efficiently and supports various partitioned data sources. It is compatible with several native formats such as CSV, Parquet, JSON, and Avro, and facilitates smooth integration with popular object storage solutions like AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture includes a robust query planner and an advanced optimizer that boasts capabilities such as expression coercion, simplification, and optimizations that consider distribution and sorting, along with automatic reordering of joins. Furthermore, DataFusion allows for extensive customization, enabling developers to incorporate user-defined scalar, aggregate, and window functions along with custom data sources and query languages, making it a powerful tool for diverse data processing needs. This adaptability ensures that developers can tailor the engine to fit their unique use cases effectively.

Gain secure access to cutting-edge data visualization and analytics at your convenience, no matter the time or place. Utilize sophisticated device management features, diagnostics, and analytics to oversee distributed sensor networks effectively. Develop tailored image-based visualizations that incorporate embedded sensor information and their respective alert statuses. Construct data tables that feature both raw and calculated metrics for easy viewing, comparison, and exportation. Document and track changes to system and sensor properties throughout the entire project lifecycle to ensure comprehensive oversight. Specify conditions for calculating user-defined thresholds and enable adaptable notification distribution based on those criteria. Bring in essential documents, images, inspection logs, and event data to serve as a detailed record of project advancements and performance metrics. Leverage powerful tools for creating and disseminating reports while seamlessly linking those reports to real-time visualizations such as charts, graphs, maps, and dashboards. This integrated approach not only enhances project management but also improves decision-making and accountability throughout the project’s duration.

DeltaStream is an integrated serverless streaming processing platform that integrates seamlessly with streaming storage services. Imagine it as a compute layer on top your streaming storage. It offers streaming databases and streaming analytics along with other features to provide an integrated platform for managing, processing, securing and sharing streaming data. DeltaStream has a SQL-based interface that allows you to easily create stream processing apps such as streaming pipelines. It uses Apache Flink, a pluggable stream processing engine. DeltaStream is much more than a query-processing layer on top Kafka or Kinesis. It brings relational databases concepts to the world of data streaming, including namespacing, role-based access control, and enables you to securely access and process your streaming data, regardless of where it is stored.

Discover the ease of your SaaS solution for Industrial IoT (Internet of Things), which requires no prior cloud knowledge to utilize effectively. Gaonic Industrial IoT Central serves as a fully managed global IoT SaaS solution tailored for businesses, enabling straightforward connection, visualization, analysis, and management of IoT assets on a large scale. Accelerate the launch of your connected products while keeping your focus firmly on customer needs with this SaaS offering. We specialize in providing a cloud-based sensor analytics platform designed specifically for the Internet of Things (IoT). This emerging trend is rapidly transforming industries by fostering product innovation and enhancing revenue possibilities through the interconnectivity of smart devices. Leveraging cloud technologies, Gaonic ensures a seamless networking experience, even for remote systems, thus simplifying the integration of various devices into your operations. By embracing this innovative approach, your organization can stay ahead in the competitive landscape of IoT solutions.

Video can help you grow your business and improve your organization's communication. Live Streaming and Video Hosting Platform. We understand that hosting live events and streaming video can be difficult. We have a dedicated team that can provide 24/7 support as well as a strong knowledge base, and an active online community. Live streaming video can engage your audience. Transcoding, monetization and security features are all available to you for professional broadcasting. Dacast's secure video hosting capabilities allow you to live stream unlimited video content from your website. Private video hosting gives you complete control over your content. Professional broadcasting is all about security. Privacy tools can be used to restrict who can view your content, in addition to Dacast's cyber security features.

Apache Flink serves as a powerful framework and distributed processing engine tailored for executing stateful computations on both unbounded and bounded data streams. It has been engineered to operate seamlessly across various cluster environments, delivering computations with impressive in-memory speed and scalability. Data of all types is generated as a continuous stream of events, encompassing credit card transactions, sensor data, machine logs, and user actions on websites or mobile apps. The capabilities of Apache Flink shine particularly when handling both unbounded and bounded data sets. Its precise management of time and state allows Flink’s runtime to support a wide range of applications operating on unbounded streams. For bounded streams, Flink employs specialized algorithms and data structures optimized for fixed-size data sets, ensuring remarkable performance. Furthermore, Flink is adept at integrating with all previously mentioned resource managers, enhancing its versatility in various computing environments. This makes Flink a valuable tool for developers seeking efficient and reliable stream processing solutions.

MultiChain empowers businesses to rapidly develop and launch blockchain applications. Creating a new blockchain can be achieved in just two straightforward steps, while connecting to an existing one requires only three steps. Organizations can deploy an unlimited number of blockchains on a single server, facilitating cross-chain applications. It is possible to issue millions of tokens and assets, all of which are tracked and authenticated at the network level. Users can execute secure atomic exchange transactions involving multiple assets and parties. Additionally, they can create a variety of databases, including key-value stores, time series, or identity databases. Data can be stored either on-chain or off-chain, making it perfect for purposes such as data sharing, timestamping, and secure archiving. There is also an option to manage permissions, determining who can connect, send or receive transactions, as well as create assets, streams, and blocks. This flexibility means that each blockchain can be configured to be as open or as restricted as necessary, catering to diverse organizational needs. Overall, MultiChain provides a robust solution for enterprises looking to leverage the benefits of blockchain technology efficiently.

Effortlessly capture, modify, and transfer streaming data in real time. You can create a delivery stream, choose your desired destination, and begin streaming data with minimal effort. The system automatically provisions and scales necessary compute, memory, and network resources without the need for continuous management. You can convert raw streaming data into various formats such as Apache Parquet and dynamically partition it without the hassle of developing your processing pipelines. Amazon Data Firehose is the most straightforward method to obtain, transform, and dispatch data streams in mere seconds to data lakes, data warehouses, and analytics platforms. To utilize Amazon Data Firehose, simply establish a stream by specifying the source, destination, and any transformations needed. The service continuously processes your data stream, automatically adjusts its scale according to the data volume, and ensures delivery within seconds. You can either choose a source for your data stream or utilize the Firehose Direct PUT API to write data directly. This streamlined approach allows for greater efficiency and flexibility in handling data streams.

Utilizing visTABLE® software enables a comprehensive visualization of the entire operational process. In the realm of manufacturing, value stream mapping plays a crucial role in pinpointing waste by reviewing each phase of material handling. This software not only facilitates mapping the current state but also incorporates lean principles to envision the future state, thereby minimizing efforts spent on processes that do not add value. The process of improving efficiency with VSM has become remarkably straightforward. Lean methodologies rely heavily on visualization and clarity. Extract essential metrics about the existing state of operations. Leveraging value stream mapping, the software conducts a logistics-focused value stream analysis, ensuring that all value streams are captured in alignment with the line-back principle. The mapping display updates automatically, so if you modify processes or alter transportation methods, your VSM remains current and displays optimally. Additionally, this tool equips your management team with vital metrics concerning flow, value-adding activities, and inventory levels, empowering informed decision-making. With this level of support, organizations can effectively enhance their operational efficiency and drive continuous improvement initiatives.

WarpStream serves as a data streaming platform that is fully compatible with Apache Kafka, leveraging object storage to eliminate inter-AZ networking expenses and disk management, while offering infinite scalability within your VPC. The deployment of WarpStream occurs through a stateless, auto-scaling agent binary, which operates without the need for local disk management. This innovative approach allows agents to stream data directly to and from object storage, bypassing local disk buffering and avoiding any data tiering challenges. Users can instantly create new “virtual clusters” through our control plane, accommodating various environments, teams, or projects without the hassle of dedicated infrastructure. With its seamless protocol compatibility with Apache Kafka, WarpStream allows you to continue using your preferred tools and software without any need for application rewrites or proprietary SDKs. By simply updating the URL in your Kafka client library, you can begin streaming immediately, ensuring that you never have to compromise between reliability and cost-effectiveness again. Additionally, this flexibility fosters an environment where innovation can thrive without the constraints of traditional infrastructure.

Embiot®, a compact, high-performance IoT analytics software agent that can be used for smart sensor and IoT gateway applications, is available. This edge computing application can be integrated directly into devices, smart sensor and gateways but is powerful enough to calculate complex analytics using large amounts of raw data at high speeds. Embiot internally uses a stream processing model in order to process sensor data that arrives at different times and in different order. It is easy to use with its intuitive configuration language, rich in math, stats, and AI functions. This makes it quick and easy to solve any analytics problems. Embiot supports many input methods, including MODBUS and MQTT, REST/XML and REST/JSON. Name/Value, CSV, and REST/XML are all supported. Embiot can send output reports to multiple destinations simultaneously in REST, custom text and MQTT formats. Embiot supports TLS on select input streams, HTTP, and MQTT authentication for security.

Clevercast allows you to broadcast live streams with multiple audio languages, AI generated closed captions, and other cloud-based technologies. Our multilingual video player allows viewers to see the stream from anywhere in the world and choose their preferred language. Our AI powered platform is able to increase the quality of multilingual live streaming while reducing costs – something that was not thought possible until recently. Clevercast offers the same quality for AI generated closed captions in live streams as people are used to from Netflix or television. The option of having language professionals correct the AI speech-to-text conversion in real time, before it is added to the live stream, is unique to Clevercast. This is perfect for high-profile events.

The Streaming service is a real-time, serverless platform for event streaming that is compatible with Apache Kafka, designed specifically for developers and data scientists. It is seamlessly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. Furthermore, the service offers ready-made integrations with numerous third-party products spanning various categories, including DevOps, databases, big data, and SaaS applications. Data engineers can effortlessly establish and manage extensive big data pipelines. Oracle takes care of all aspects of infrastructure and platform management for event streaming, which encompasses provisioning, scaling, and applying security updates. Additionally, by utilizing consumer groups, Streaming effectively manages state for thousands of consumers, making it easier for developers to create applications that can scale efficiently. This comprehensive approach not only streamlines the development process but also enhances overall operational efficiency.

We provide a globally distributed real-time database, along with stream processing and computing capabilities for event-driven applications, utilizing as many as 175 edge data centers around the world. Developers and API creators appreciate our platform because it addresses the complex challenges of managing shared mutable state across hundreds of locations with both strong consistency and minimal latency. Macrometa empowers you to seamlessly enhance your existing infrastructure, allowing you to reposition portions of your application or the entire setup closer to your end users. This strategic placement significantly boosts performance, enhances user experiences, and ensures adherence to international data governance regulations. Serving as a serverless, streaming NoSQL database, Macrometa encompasses integrated pub/sub features, stream data processing, and a compute engine. You can establish a stateful data infrastructure, create stateful functions and containers suitable for prolonged workloads, and handle data streams in real time. While you focus on coding, we manage all operational tasks and orchestration, freeing you to innovate without constraints. As a result, our platform not only simplifies development but also optimizes resource utilization across global networks.

Introducing Vdox Whitelabel OTT platform - Your customized streaming powerhouse! Vdox Whitelabel OTT Platform enables businesses to create and manage their own OTT streaming services that are fully branded. Our comprehensive solution allows you to captivate your audience and optimize revenue streams while delivering exceptional streaming experiences on various platforms and devices. Vdox Whitelabel OTT Platform allows businesses to create their own branded streaming service. Vdox Whitelabel OTT Platform offers a complete solution to streaming success. It includes customization, seamless management of content, advanced monetization features, user-friendly management tools, comprehensive analytics and multi-platform support. Vdox Whitelabel OTT platform can revolutionize your streaming service and unlock its unlimited potential.