Get Started With StreamSets

ENTERPRISE DATA INTEGRATION

StreamSets
DataOps Platform

Design, deploy, monitor, and maintain architectures comprising hundreds of pipelines using a centralized cloud-native environment.

  • Collaborative design of multi-pipeline topologies
  • Live data movement map with real-time monitoring and drill down
  • High-availability, access control, and enterprise-grade security
  • Detect and protect sensitive data and PII in-stream

OPEN SOURCE DATA PIPELINES

StreamSets
Data Collector

Build, test, run, and maintain batch and streaming pipelines. StreamSets Data Collector pipelines require no schema specification and handle data drift automatically.

  • Visual UI with pre-built sources, destinations, and transformations
  • Runs standalone or scales via YARN, Mesos or Kubernetes
  • Build, preview, run, and monitor real-time performance
  • Lightweight Edge version runs in <10MB

MODERN ETL

StreamSets
Transformer

Create data processing pipelines for performing ETL, stream processing, and machine learning operations that execute on Spark with a simple drag-and-drop UI.

  • Visibility into Apache Spark application execution
  • Run in batch or streaming modes
  • Progressive error handling without Apache Spark skills
  • Works in the cloud, Kubernetes or on premises 
  • Sets-based processing for ETL, ML and complex event processing

ENTERPRISE PLATFORM INTEGRATION

StreamSets
Enterprise Connectors

Add extra connectivity and features to load and optimize your data faster for Snowflake, Teradata, MemSQL, and more. Note: StreamSets Enterprise Connectors require agreement to enterprise terms and conditions concerning use of connectors in production deployments.

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