Best Event Stream Processing Software

Event stream processing software analyzes data in real time to provide insights on data streams as they arrive.

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

  • Analyze data streams in real time
  • Store data as it is processed
  • Digest data from a variety of sources
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    Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

    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.

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.

    Amazon Managed Streaming for Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications.

    Built on Apache Kafka, IBM Event Streams is a high-throughput, fault-tolerant, event streaming platform that helps you build intelligent, responsive, event-driven applications.

    With SAS Event Stream Processing, you can analyze high-velocity big data while it's still in motion, before it is stored, so you can take immediate action on what's relevant, and ignore what isn't.

    Eventador Fully Managed Apache Kafka adds more hours to your developer and DevOps teams’ day by eliminating the complexity of deploying, managing and maintaining Apache Kafka clusters. Eventador’s fully managed Apache Kafka streamlines cluster deployment and management with recommended configurations, version upgrades on your timeframe, robust team features and more. Eventador delivers high performance, fully-redundant, managed Apache Kafka clusters deployed in the Eventador Instant On™ environ

    A realtime, distributed, fault-tolerant stream processing engine from Twitter

    Build your application on the fastest and most scalable distributed streaming platform with Instaclustr's Managed Kafka. Apache Kafka is the leading streaming and queuing technology for large-scale, always-on applications. Instaclustr's Managed Service for Apache Kafka is the best way to run Kafka in the cloud, providing you a production ready and fully supported Apache Kafka cluster in minutes.

    Leo enables teams to innovate faster by providing visibility and control for data streams.

    R- DMP is game-changer platform enabling stream data integration and analytics. Radicalbit Data Management Platform enables stream data integration and analytics over event stream processing platforms, giving Users the ability to design and manage connectors and data processing pipelines in a visual way.

    SnappyData fuses Apache Spark with an in-memory database to deliver a data engine capable of stream processing, transactions and interactive analytics in a single cluster.

    Efficiently design, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications

    Striim platform is an end-to-end streaming data integration and operational intelligence solution designed to enable continuous query and processing and streaming analytics.

    TIBCO BusinessEvents
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    Optimized for quick response

    In the emerging digital world, billions of people, systems, and devices will interact in real-time, suggesting new and disruptive competitive advantages. How do you play there? By building distributed, stateful, rule-based event-processing systems, experimenting, learning, and quickly evolving.

    TIBCO Cloud Events
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    Optimized for quick response

    It is the 4th Industrial Revolution. Now more than ever you need to identify opportunities and threats in data generated by billions of devices, systems, and people. TIBCO Cloud, Events is a cloud-native solution for improving business outcomes by detecting key events and moving automated decision-making closer to the edge.

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    As organizations shift to a digital business model, they will have massive amounts of streaming data that present the opportunity to leverage it in context-rich manners to drive business outcomes. Efficient data distribution and stream processing is what Apache Kafka was designed to do. TIBCO Messaging draws on more than 25 years of industry-leading experience in high-performance messaging technology to offer enterprise-class, 24x7 "follow-the-sun" support for Apache Kafka.

    TIBCO Streaming
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    Optimized for quick response

    TIBCO StreamBase is an industry-leading event processing platform for applying mathematical and relational processing to real-time data streams. It enables organizations to rapidly build and deploy event-driven applications for the automated Fast Data process at a fraction of the cost and risk of alternatives.

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