Best Event Stream Processing Software for OpenMetadata
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Compare the Top Event Stream Processing Software that integrates with OpenMetadata as of July 2026
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This a list of Event Stream Processing software that integrates with OpenMetadata. Use the filters on the left to add additional filters for products that have integrations with OpenMetadata. View the products that work with OpenMetadata in the table below.
What is Event Stream Processing Software for OpenMetadata?
Event stream processing software enables organizations to analyze and process data in real-time as it is generated, providing immediate insights and enabling quick decision-making. This software is designed to handle large volumes of streaming data, such as sensor data, transaction logs, social media feeds, or financial market data. Event stream processing software often includes features like real-time analytics, pattern detection, event filtering, and aggregation to identify trends or anomalies. It is widely used in applications such as fraud detection, predictive maintenance, supply chain management, and real-time analytics. Compare and read user reviews of the best Event Stream Processing software for OpenMetadata currently available using the table below. This list is updated regularly.
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Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
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SAS Viya
SAS
SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments. -
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Amazon Kinesis
Amazon
Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.
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