Alternatives to SAS Analytics for IoT

There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.

SkyFoundry's software solutions allow clients to get the most out of smart system investments. SkySpark's analytics platform automatically analyzes data from control systems, sensors, and metering systems to identify patterns, deviations, and opportunities for operational improvement and cost reduction. SkySpark assists building owners and operators to "find what matters" from the large amount of data generated by today's smart devices.

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.

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.

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.

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.

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.

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.

Incorporate analytics into immediate interactions and event-driven functionalities. The SAS Visual Data Science Decisioning suite offers strong capabilities in data management, visualization, advanced analytics, and model oversight. It enhances decision-making by crafting, integrating, and governing analytically driven decision processes at scale, whether in real-time or through batch processing. Additionally, it facilitates analytics deployment in the data stream to uncover valuable insights. Tackle intricate analytical challenges with an intuitive visual interface that manages all stages of the analytics life cycle efficiently. Running on SAS® Viya®, SAS Visual Data Mining and Machine Learning merges data manipulation, exploration, feature development, and cutting-edge statistical, data mining, and machine learning methodologies within a single, scalable in-memory processing framework. Users can access data files, libraries, and existing scripts, or create new ones, via this web-based application that is conveniently accessible through any browser, thus enhancing flexibility and collaboration.

Utilize insights derived from IoT to enhance and transform business processes for significant improvements. The SAP Internet of Things solution provides features tailored for various industrial IoT scenarios. Functioning as the IoT component of SAP’s Business Technology Platform, it allows organizations to rethink their business processes and models by integrating IoT services and data seamlessly. The SAP IoT solution includes a comprehensive reference architecture that delivers business services and key functionalities to tackle essential industrial IoT challenges across sectors such as manufacturing, supply chain, logistics, asset management, product tracking, and service management. It also offers a cloud service designed for developing IoT applications and ensures integration with existing business applications. Additionally, it incorporates Big Data capabilities that are inherently managed, enriching IoT data with relevant business context, rules, and a framework for event-driven integration. Furthermore, it provides analytical services that are live-linked to SAP Analytics Cloud, empowering organizations to make data-driven decisions effectively. This holistic approach helps organizations unlock the full potential of IoT technology in their operations.

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.

TIBCO Streaming is an advanced analytics platform focused on real-time processing and analysis of fast-moving data streams, which empowers organizations to make swift, data-informed choices. With its low-code development environment found in StreamBase Studio, users can create intricate event processing applications with ease and minimal coding requirements. The platform boasts compatibility with over 150 connectors, such as APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, ensuring smooth integration with diverse data sources. Incorporating dynamic learning operators, TIBCO Streaming allows for the use of adaptive machine learning models that deliver contextual insights and enhance automation in decision-making. Additionally, it provides robust real-time business intelligence features that enable users to visualize current data alongside historical datasets for a thorough analysis. The platform is also designed for cloud readiness, offering deployment options across AWS, Azure, GCP, and on-premises setups, thereby ensuring flexibility for various organizational needs. Overall, TIBCO Streaming stands out as a powerful solution for businesses aiming to harness real-time data for strategic advantages.

Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.

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.

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.

KX Streaming Analytics offers a comprehensive solution for ingesting, storing, processing, and analyzing both historical and time series data, ensuring that analytics, insights, and visualizations are readily accessible. To facilitate rapid productivity for your applications and users, the platform encompasses the complete range of data services, which includes query processing, tiering, migration, archiving, data protection, and scalability. Our sophisticated analytics and visualization tools, which are extensively utilized in sectors such as finance and industry, empower you to define and execute queries, calculations, aggregations, as well as machine learning and artificial intelligence on any type of streaming and historical data. This platform can be deployed across various hardware environments, with the capability to source data from real-time business events and high-volume inputs such as sensors, clickstreams, radio-frequency identification, GPS systems, social media platforms, and mobile devices. Moreover, the versatility of KX Streaming Analytics ensures that organizations can adapt to evolving data needs and leverage real-time insights for informed decision-making.

GO+ provides development resources tailored for service providers, enabling them to create additional offerings for their business clientele. The platform is designed to handle a large volume of devices simultaneously through advanced algorithms. This allows service providers to focus less on the challenges of developing new services for their customers. At the heart of the platform lies an analytical decision-making engine that utilizes Granular Computing for intricate data processing and analysis with complex event handling. We leverage cloud technology that seamlessly integrates business logic from real devices directly to the cloud environment. This scalability ensures that we can offer cost-effective solutions. Additionally, the platform's scripting engine equips developers with a comprehensive suite of tools to craft highly customized IoT services applicable across various industries. GO+ is constructed on cutting-edge cloud computing technology, ensuring optimal performance and reliability. Ultimately, GO+ empowers service providers to innovate without the typical constraints associated with service development.

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.

Apama Streaming Analytics empowers businesses to process and respond to IoT and rapidly changing data in real-time, enabling them to react intelligently as events unfold. The Apama Community Edition serves as a freemium option from Software AG, offering users the chance to explore, develop, and deploy streaming analytics applications in a practical setting. Meanwhile, the Software AG Data & Analytics Platform presents a comprehensive, modular, and cohesive suite of advanced capabilities tailored for managing high-velocity data and conducting analytics on real-time information, complete with seamless integration to essential enterprise data sources. Users can select the features they require, including streaming, predictive, and visual analytics, alongside messaging capabilities that facilitate straightforward integration with various enterprise applications and an in-memory data store that ensures rapid access. Additionally, by incorporating historical data for comparative analysis, organizations can enhance their models and enrich critical customer and operational data, ultimately leading to more informed decision-making. This level of flexibility and functionality makes Apama an invaluable asset for companies aiming to leverage their data effectively.

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.

Informatica's AI-driven Data Engineering Streaming empowers data engineers to efficiently ingest, process, and analyze real-time streaming data, offering valuable insights. The advanced serverless deployment feature, coupled with an integrated metering dashboard, significantly reduces administrative burdens. With CLAIRE®-enhanced automation, users can swiftly construct intelligent data pipelines that include features like automatic change data capture (CDC). This platform allows for the ingestion of thousands of databases, millions of files, and various streaming events. It effectively manages databases, files, and streaming data for both real-time data replication and streaming analytics, ensuring a seamless flow of information. Additionally, it aids in the discovery and inventorying of all data assets within an organization, enabling users to intelligently prepare reliable data for sophisticated analytics and AI/ML initiatives. By streamlining these processes, organizations can harness the full potential of their data assets more effectively than ever before.

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.

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.

Begin your streaming journey with straightforward URL parameters, or dive directly into the Streaming API documentation to discover how to transmit events using JSON format. Accessing data from your Initial State account is equally straightforward; all that's required is your private access key and a simple HTTPS GET request. Explore our user-friendly examples and comprehensive API documentation for guidance. With no restrictions on the number of devices, data streams, or dashboards, you can unleash your creativity and build remarkable data projects. Whether you want to keep your data private or share it with a broader audience, the Initial State streaming REST API makes it simple to learn and implement. A range of open-sourced SDKs for languages like Python and NodeJS are readily available for your convenience. You can also follow several detailed tutorials designed to help you create practical, real-time streaming projects effortlessly. Additionally, our codeless data integrations enable you to acquire data from APIs with just a few clicks, eliminating the need for coding or setting up a single-board computer to obtain the information you desire. This streamlined approach empowers users to focus on their projects without getting bogged down by technical complexities.

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.

Oracle Stream Analytics empowers users to handle and evaluate vast amounts of real-time data through advanced correlation techniques, enrichment capabilities, and machine learning integration. This platform delivers immediate, actionable insights for businesses dealing with streaming information, facilitating automated responses that support the needs of modern agile enterprises. It features Visual GEOProcessing with GEOFence relationship spatial analytics, enhancing location-based decision-making. Additionally, the introduction of a new Expressive Patterns Library encompasses various categories, such as Spatial, Statistical, General industry, and Anomaly detection, alongside streaming machine learning functionalities. With an intuitive visual interface, users can seamlessly explore live streaming data, enabling effective in-memory analytics that enhance real-time business strategies. Overall, this powerful tool significantly improves operational efficiency and decision-making processes in fast-paced environments.

Efficiently ingest, prepare, and manage data pipelines at scale specifically designed for cloud-based AI and analytics. The extensive data engineering suite from Informatica equips users with all the essential tools required to handle large-scale data engineering tasks that drive AI and analytical insights, including advanced data integration, quality assurance, streaming capabilities, data masking, and preparation functionalities. With the help of CLAIRE®-driven automation, users can quickly develop intelligent data pipelines, which feature automatic change data capture (CDC), allowing for the ingestion of thousands of databases and millions of files alongside streaming events. This approach significantly enhances the speed of achieving return on investment by enabling self-service access to reliable, high-quality data. Gain genuine, real-world perspectives on Informatica's data engineering solutions from trusted peers within the industry. Additionally, explore reference architectures designed for sustainable data engineering practices. By leveraging AI-driven data engineering in the cloud, organizations can ensure their analysts and data scientists have access to the dependable, high-quality data essential for transforming their business operations effectively. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to make data-driven decisions with confidence.

Utilize a single platform to ensure that your asset, operational, and business data can seamlessly interact. We enable organizations across diverse sectors to simplify processes, eliminate obstacles, and enhance the speed of value realization through integrated solutions that effectively merge Physical (IoT/IIoT/OT) and Application (IT) data. With our platform, you can securely handle the ingestion of OT, IoT, IIoT, and business application data from a variety of disconnected systems, protocols, networks, and formats. Moreover, you can enrich contextual information, manage metadata, conduct transformations, and employ data mapping to work with standardized data models and schemas. This integration allows for the flow of data to various endpoints, supporting application and process logic, storage, data analysis, and both physical and digital automation efforts. Reekoh Accelerate™ stands out as a hybrid integration platform that treats data from both physical and digital assets with utmost importance. It equips users with a robust and flexible toolset for managing devices and data, as well as streamlining business workflows and automation processes to drive efficiency. By leveraging these capabilities, organizations can unlock the full potential of their data assets.

Thingplus oversees a range of IoT devices that encompass various infrastructures and systems, including solar energy facilities and motor systems utilized in manufacturing, alongside straightforward environmental sensors. These devices maintain connectivity to the Internet via diverse communication methods, allowing for real-time management and oversight. An authentic end-to-end IoT platform serves as a comprehensive software framework that facilitates device connectivity, data collection, analysis, visualization, real-time alerts, and remote control through a rules engine, while also enabling integration with external cloud services. This platform transforms critical business data from physical formats to digital insights, thereby fostering digital transformation and enhancing data integration services. By harnessing meaningful data from your operations, effective management of your business becomes achievable. Moreover, it enables the consolidated oversight of vital facilities and equipment, ensuring that data monitoring and real-time control are seamlessly integrated into the management services. Ultimately, this holistic approach enhances operational efficiency and decision-making processes.

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.

Our Cloud platform offers businesses a comprehensive overview of their entire infrastructure, supplying essential data points and metrics to the relevant departments within the organization. This foundation is crucial for fostering future advancements in technology, particularly in sectors like Machine Learning and Artificial Intelligence, all accessible through the Kaleidoscope Cloud platform. Additionally, our core Cloud features integrated Big Data and Analytics to facilitate instant, real-time business intelligence. Keep track of your infrastructure using our intuitive dashboards, and ensure timely notifications to your team through our automated on-call system, which operates on data-driven insights. Furthermore, your entire IoT ecosystem is safeguarded, as Kaleidoscope prioritizes secure communication for all data exchanged with the cloud, guaranteeing the integrity and confidentiality of your information. With these capabilities, organizations can seamlessly adapt to evolving technological demands while ensuring robust security measures are in place.

Foghub streamlines the integration of IT and OT, enhancing data engineering and real-time intelligence at the edge. Its user-friendly, cross-platform design employs an open architecture to efficiently manage industrial time-series data. By facilitating the critical link between operational components like sensors, devices, and systems, and business elements such as personnel, processes, and applications, Foghub enables seamless automated data collection and engineering processes, including transformations, advanced analytics, and machine learning. The platform adeptly manages a diverse range of industrial data types, accommodating significant variety, volume, and velocity, while supporting a wide array of industrial network protocols, OT systems, and databases. Users can effortlessly automate data gathering related to production runs, batches, parts, cycle times, process parameters, asset health, utilities, consumables, and operator performance. Built with scalability in mind, Foghub provides an extensive suite of features to efficiently process and analyze large amounts of data, ensuring that businesses can maintain optimal performance and decision-making capabilities. As industries evolve and data demands increase, Foghub remains a pivotal solution for achieving effective IT/OT convergence.

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.

Effective business choices are informed by the analysis of real-time data from devices and sensors, which enables prompt actions. The IoT era introduces a vast number of interconnected devices, presenting significant opportunities to automatically generate valuable insights and create new revenue streams. By leveraging Pega’s top-tier case management and BPM solutions, organizations can seamlessly transform IoT-driven insights into strategically coordinated actions that span various business and system boundaries. Pega Machine Health plays a crucial role by continuously integrating people, processes, devices, and data to enhance the health and value of connected IoT devices. This functionality allows organizations to not only analyze situations but also recommend preventive measures and repairs, thereby enhancing the overall customer experience. To maintain a competitive edge in the swiftly changing IoT landscape, businesses can utilize the remarkable agility provided by Pega 7. Furthermore, Pega 7 empowers IoT teams to perpetually refine both the analytical processes and the coordination of actions driven by IoT data, ensuring sustained operational excellence. Such capabilities foster a proactive culture within organizations, enhancing their responsiveness to emerging challenges and opportunities.

HiveMQ is the most trusted enterprise MQTT platform, purpose-built to connect anything via MQTT, communicate reliably, and control IoT data. The platform can be deployed anywhere, on-premise or in the cloud, giving developers the flexibility and freedom they need to evolve as their IoT deployment grows. HiveMQ is reliable under real-world stress, scales without limits, and provides enterprise-grade security to meet the needs of organizations at any stage of digital transformation. The extensible platform provides seamless connectivity to the leading data streaming, databases, and data analytics platforms, plus offers a custom SDK for a perfect fit in any stack.

Building a dedicated team to create and sustain a connected solution from the ground up can span several years and cost millions of dollars. In contrast, Exosite offers ready-made solutions for condition monitoring, smart home applications, and OEM-connected products that can be launched on the Murano platform instantly, allowing you to start generating value immediately. Exosite's Murano and its pre-packaged solutions are typically offered as multi-tenant hosted infrastructure, which is overseen and supported by the Exosite Dev-Ops team for optimal performance. For organizations that need to keep their software and data within their own infrastructure, single-tenant and on-premise hosting alternatives are also available. This flexibility empowers you to confidently manage a growing array of connected devices, users, analytics, and data storage needs. By utilizing Exosite’s Murano platform, you can effectively navigate the complexities of scaling your infrastructure, enabling you to concentrate on enhancing your business operations and strategies.

KX Insights serves as a cloud-native platform that provides essential real-time performance analytics and actionable intelligence continuously. By utilizing advanced techniques such as complex event processing, rapid analytics, and machine learning interfaces, it facilitates swift decision-making and automates responses to events in mere fractions of a second. The migration to the cloud encompasses not only storage and computational flexibility but also includes a comprehensive array of elements: data, tools, development, security, connectivity, operations, and maintenance. KX empowers organizations to harness this cloud capability, enabling them to make more informed and insightful decisions by seamlessly integrating real-time analytics into their operational frameworks. Additionally, KX Insights adheres to industry standards, promoting openness and interoperability with diverse technologies, which accelerates the delivery of insights in a cost-effective manner. Its architecture is based on microservices, designed for efficiently capturing, storing, and processing high-volume and high-velocity data utilizing established cloud standards, services, and protocols, ensuring optimal performance and scalability. This innovative approach not only enhances operational efficiency but also positions businesses to adapt swiftly to changing market dynamics.

IoTWorX™ integrates ICONICS' advanced IoT software technology with its established HMI/SCADA systems, analytics, and mobile applications operating in the cloud. This platform provides manufacturers and facility managers with essential IoT capabilities, such as asset connectivity, secure cloud communications, and integrated real-time visualization features. By utilizing edge analytics, latency is greatly reduced, and FDD technology is employed to enhance cost savings and boost operational effectiveness. Furthermore, users have the flexibility to connect with nearly any automation equipment by utilizing a variety of supported industry protocols, including OPC UA, BACnet, SNMP, Modbus, web services, and traditional OPC tunneling. This comprehensive approach ensures that businesses can maintain a competitive edge in their operations.

The significance of streaming data derived from operations, transactions, sensors, and IoT devices becomes apparent when it is thoroughly comprehended. SAS's event stream processing offers a comprehensive solution that encompasses streaming data quality, analytics, and an extensive selection of SAS and open source machine learning techniques alongside high-frequency analytics. This integrated approach facilitates the connection, interpretation, cleansing, and comprehension of streaming data seamlessly. Regardless of the velocity at which your data flows, the volume of data you manage, or the diversity of data sources you utilize, you can oversee everything effortlessly through a single, user-friendly interface. Moreover, by defining patterns and addressing various scenarios across your entire organization, you can remain adaptable and proactively resolve challenges as they emerge while enhancing your overall operational efficiency.

Oracle’s IoT Intelligent Applications Cloud offers enhanced visibility, insights, and operational efficiencies by harnessing sensor data from interconnected devices, focusing on smart manufacturing, connected assets, logistics, workplace safety, and the customer experience. By leveraging IoT applications, businesses can boost revenue through improved efficiency, heightened supply chain transparency, and the introduction of innovative business models. Additionally, real-time sensor data facilitates the prevention of downtime by enabling proactive maintenance of machinery, vehicles, and various assets. Cost reduction is achievable by monitoring vehicle routes and tracking products during transit, ensuring optimal resource management. Furthermore, this platform helps maintain regulatory compliance and swiftly identifies causes of incidents through real-time insights into workplace conditions, ultimately fostering a safer work environment. Adopting these advanced IoT solutions can significantly transform operational strategies and drive sustainable growth.

The Zebra Savanna cloud data platform offers valuable insights into workflows and enhances next-generation applications by collecting and analyzing real-time data from the edge, thereby forming systems that provide optimal guidance for workers on the spot. It effectively integrates with your current hardware, software, and data networks to support the digitization and automation of businesses. Furthermore, Zebra Savanna provides accessible, unified APIs and developer tools that enable the rapid and secure creation of scalable digital services. Thanks to the enhanced API layer available on Zebra Savanna, Zebra Data Services empowers partners and developers to innovate, design, and swiftly launch applications that assist customers in transforming their operations, thus fostering an ecosystem that reaches well beyond the Zebra brand. Acting as the cornerstone of a new suite of enterprise applications and solutions, Zebra Savanna aims to revolutionize the manner in which organizations enhance their performance and efficiency in the digital age. This creates new opportunities for collaboration and innovation among businesses, ultimately leading to a more interconnected and dynamic marketplace.

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.

VIA offers enhanced visibility throughout data and various organizational barriers, fostering operational efficiency across multiple sectors. With this tool, your team can swiftly identify issues, automate responses when feasible, and mitigate the risks that could adversely affect service and customer satisfaction. Through its proactive analytic value chain and focus on customer needs, VIA not only uncovers necessary actions but also ranks them according to their potential impact on customers, allowing you to make informed decisions that enhance business outcomes. Additionally, VIA Solution Templates streamline the implementation and customization of the Platform to align with your specific business needs, facilitating a smoother transition and greater adaptability. Ultimately, leveraging VIA can lead to more responsive and effective operational strategies.

Utilize high-performance ETL for data ingestion, whether through mass ingestion or change data capture methods. Seamlessly integrate data across any cloud environment using ETL, ELT, Spark, or a fully managed serverless solution. Connect and unify applications, regardless of whether they are on-premises or part of a SaaS model. Achieve data processing speeds of up to 72 times faster, handling petabytes of data within your cloud infrastructure. Discover how Informatica’s Cloud Data Integration empowers you to rapidly create high-performance data pipelines tailored to diverse integration requirements. Effectively ingest databases, files, and real-time streaming data to enable instantaneous data replication and analytics. Facilitate real-time app and data integration through intelligent business processes that connect both cloud and on-premises sources. Effortlessly integrate message-driven systems, event queues, and topics while supporting leading tools in the industry. Connect to numerous applications and any API, enabling real-time integration through APIs, messaging, and pub/sub frameworks—without the need for coding. This comprehensive approach allows businesses to maximize their data potential and improve operational efficiency significantly.