Cloudera Streaming Analytics
Cloudera Streaming Analytics provides real-time stream processing and streaming analytics powered by Apache Flink. On Cloudera on premises, you can use built-in connectors from Cloudera Runtime components and manage clusters and services with Cloudera Manager. Cloudera SQL Stream Builder gives you an integrated interface to build streaming applications with SQL and expose results over REST APIs.
Get started
- Download CSA packages and review system requirements.
- Quick Start to provision a cluster and run your first streaming job.
- Installation & Upgrade for deployment and upgrade procedures.
- Apache Flink Overview to understand Flink in this release.
- Cloudera SQL Stream Builder Overview for the SQL streaming console and job model.
Key capabilities
- Apache Flink: Stream processing and streaming analytics with Flink integrated on Cloudera, including upstream Flink features supported in this release.
- Cloudera SQL Stream Builder: Low-code UI and development environment for continuous streaming SQL, Flink-backed jobs, and REST APIs for query results. See Using Cloudera SQL Stream Builder.
- Cloudera platform integration: Connect to Cloudera Runtime components, operate with Cloudera Manager, and align with Kafka, Schema Registry, and other streaming platform services where documented in this library.
- Security: Configure authentication, authorization, and encryption for CSA services. See Security.
Learn more in the Apache Flink Overview and Cloudera SQL Stream Builder Overview guides.
Common use cases
- Fraud detection: Identify fraudulent patterns in real-time transactions.
- Customer analytics: Generate immediate insights into customer behavior.
- Market monitoring: Track and react to live market fluctuations.
- Log analytics: Process and analyze high-volume system logs in real time.
Release and support
See the release notes for new features, fixed issues, known issues, and limitations. Review the installation support matrix for supported platform versions.
