Simplify and Speed Data Ingestion to Cloudera
If you understand the logistic flow of data, you can build a data pipeline to Data Hub with StreamSets. Power your advanced analytics, machine learning, and ETL using a visual user interface to connect 100s of data sources to your Cloudera Data Hub cluster for comprehensive, large-scale analytics.
Native Integrations with Cloudera
Accelerate your advanced analytics on Cloudera with rapid data integration.
Uncover Value in Big Data with Cloudera
Detect and Respond to Data Drift
No other technology lets you get rapid value from your Data Hub. Only StreamSets DataOps Platform features smart data pipelines with built-in data drift detection and handling. Support for brokers like Kafka and Flume helps users get better reliability from open source engines.
Execute Batch and Streaming in a Single Solution
No need to design complex architectures. The StreamSets DataOps Platform helps you design ETL, IoT, and stream processing jobs with a single design experience and execute in any engine in the Cloudera ecosystem. StreamSets helps users execute on the best engine for the job while giving visibility to all data movement across your clusters and connected data systems.
Harness the Power of Apache Spark, Minus the Complexity
StreamSets Transformer helps you rapidly build Apache Spark applications and ETL processes to deploy on your Data Hub. Transformer also allows users to build self-service machine learning pipelines, deploy them into production, and monitor their health and performance as you scale.
Operationalize Machine Learning and Advanced Analytics