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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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Event Stream Processing reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.

Compare Event Stream Processing Software
Results: 12
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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.



    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 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.


    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™ environment or into your AWS account—all managed via Kubernetes® in the background. Eventador’s Fully Managed Apache Kafka is truly fully managed with 24x7x365, expert hands-on support via Slack, email and phone. If needed, our engineers troubleshoot and implement fixes, so you don’t have to.


    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.


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


    Capture, govern and manage repeatable business rules to optimize decision making across the organization


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


    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 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.