Best Stream Analytics Software

Stream analytics software monitors and analyzes integration data in real time. These tools allow users to analyze data in transfer between applications or through APIs. This allows users to analyze both historical events and what’s happening at that exact time. Companies use stream analytics to better understand what data users are retrieving and to monitor endpoints. Users can analyze data being transferred amongst devices like internet of things (IoT) endpoints, such as smart cars, machinery, or home appliances. Many tools contain data visualization components to present and map connected devices. Other common features include competitive analysis and big data analytics. There is some crossover between stream analyics and big data analytics tools, but big data analytics tools aren’t necessarily used specifically to provide real-time information.

To qualify for inclusion in the Stream Analytics category, a product must:

  • Monitor events pertaining to information exchange in real time
  • Alert users of device or network failures using triggers
  • Provide actionable analytical insights
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    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data such as video, audio, application logs, website clickstreams, and IoT telemetry, so you can get timely insights and react quickly to new information.

    Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or telemetry produced by distributed software and devices.

    TIBCO Spotfire
    (46)4.3 out of 5
    Optimized for quick response
    Optimized for quick response

    TIBCO Spotfire® is Analytics Accelerated, a self-service data visualization platform that speeds individual time to insight and analytics adoptions across the organization. Spotfire helps users quickly and easily generate insights with three new ways to support their analytical preferences: NLQ powered search, AI-driven recommendations, and direct manipulation - all wrapped in a streamlined, beautiful interface. Users can add context with native streaming for integrated analyses of real-time a

    Azure Stream Analytics is a managed event-processing engine set up real-time analytic computations on streaming data.

    Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics

    PieSync takes care of syncing your contacts between your favorite cloud apps two-way and in real-time, so you can focus on building your business. Empower your SaaS Stack with tailor-made bridges between cloud-based apps. Our supported apps include: Smartphone: * Google Contacts * iCloud * FullContact * Outlook 365 CRMs: * 1CRM * Act! 365 * Act! Premium Cloud * Agendor CRM * Agile CRM * AllClients * amoCRM * Apptivo * Batchbook * bexio * BigContacts * Bitrix24 * Brivity CRM * Bullhorn * Cap

    Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more.

    Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.

    See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding of dashboards

    The StreamSets DataOps platform enables companies to build, execute, operate and protect batch and streaming dataflows. The commercial StreamSets Control Hub is the platform's cloud-native control plane through which enterprises design, monitor and manage complex data movement that is executed by multiple Data Collectors.

    The PI System is an enterprise infrastructure for management of real-time data and events with tools and features to help you manage your data and more.

    PubNub is a Pub/Sub service for sending data between devices in real-time. It is ideal for developers building chat applications, IoT device signaling, real-time GPS location tracking, multiplayer online games, and more. Messages generally make it from publisher to subscriber in 80–100ms, regardless of their locations. It is superior to websockets and MQTT because it infinitely scales to any user volume, automatically. It also comes out-of-the-box with supplementation to Pub/Sub: like online us

    Attunity Replicate empowers organizations to accelerate data replication, ingest and streaming across a wide range of heterogeneous databases, data warehouses and Big Data platforms.

    Convivas ecosystem analytics grant visibility to all parties involved in the video delivery process, removing the burden from the video publisher and sharing the responsibility of providing the best quality of experience possible for the consumer.

    IBM Stream Computing analyzes a broad range of streaming data, unstructured text, video, audio, geospatial, sensor, helping organizations spot opportunities and risks and make decisions in real-time.

    Astronomer is a data engineering platform designed to collect, process and unifiy enterprise data, so users can get straight to analytics, data science and insights.

    Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you uncover new business models and revenue streams.

    Real-Time, streaming Big Data analytics and integration

    Stream Feeds is an open source solution for building scalable newsfeeds. Stream allows you to write backups to an S3 bucket of your choosing which gives you the freedom to move to an in-house solution when you want to.

    Tealium EventStream API Hub, part of Tealium’s Universal Data Hub, is a lightweight data collection and delivery solution to manage all cloud based (server-side) data from one, central hub where anyone can orchestrate the data powering customer experience. Manage customer data server-side using cloud infrastructure with a comprehensive set of code libraries, SDKs, APIs and a marketplace of pre-built connectors available through the UI. Integrate data across a tech stack in real time to drive cus

    Log Service (or "Log" for short) is an all-in-one service for log-type data. It helps increase Operations & Management and operational efficiency, as well as build the processing capability to deal with massive logs.

    Give traders, quants, and compliance officers the tools to build and deploy their own monitoring and analysis systems without writing a single line of code.

    Analyze and act on high-volume business operations and customer interactions in real-time. Correlate, aggregate and detect patterns across fast-moving data, so you can take the right action at the right time. Read more

    A Single scalable platform to help you collect, analyze & generate actionable insights for your data.

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