Best Streaming Analytics Platforms for Cloudera Data Platform

Compare the Top Streaming Analytics Platforms that integrate with Cloudera Data Platform as of September 2025

This a list of Streaming Analytics platforms that integrate 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 are Streaming Analytics Platforms for Cloudera Data Platform?

Streaming analytics platforms are software solutions that enable real-time processing and analysis of data as it is generated or streamed from various sources such as IoT devices, sensors, social media, and transactional systems. These platforms allow businesses to gain immediate insights from continuous data streams, enabling them to make faster decisions, detect anomalies, and optimize operations in real-time. Key features of streaming analytics platforms include data ingestion, real-time event processing, pattern recognition, and advanced analytics like predictive modeling and machine learning integration. They are commonly used in applications such as fraud detection, customer behavior analysis, network monitoring, and supply chain optimization. Compare and read user reviews of the best Streaming Analytics platforms 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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