Best Event Stream Processing Software for Cloudera Data Platform

Compare the Top Event Stream Processing Software that integrates with Cloudera Data Platform as of June 2025

This a list of Event Stream Processing software that integrates with Cloudera Data Platform. Use the filters on the left to add additional filters for products that have integrations with Cloudera Data Platform. View the products that work with Cloudera Data Platform in the table below.

What is Event Stream Processing Software for Cloudera Data Platform?

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 Cloudera Data Platform currently available using the table below. This list is updated regularly.

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    Cloudera DataFlow
    Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi ​​that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes.
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