skip to Main Content

StreamSets Control Hub

Build, run, monitor, and manage smart data pipelines at scale

Managing Data for Digital Transformation

With digital transformation comes complexity: diverse sources and destinations, multiple platforms, and evolving business demands. StreamSets Control Hub, the central nervous system of the StreamSets DataOps Platform, gives you a real-time, end-to-end console to operate all your data pipelines across your enterprise.

Build and run streaming, CDC, batch, ETL and ML data pipelines

Collaborate with shared templates and components, and built-in version control

Gain global operational visibility and control everywhere pipelines run

Screenshot: Design, Deploy, Monitor, And Manage Smart Data Pipelines At Scale

Our customers run millions of data pipelines using StreamSets


Operationalize Your Data Pipeline Lifecycle

Monitor Data Pipelines In One Place

Mission Control for Hybrid and Multi-cloud

Scale to thousands of data pipelines with visibility and control. Control Hub centralizes building, running, monitoring and management, so any size team can collaborate across all lifecycle stages, all design patterns, and all engines. Reuse pipeline assets to scale new data connections and pipeline patterns across your business without special skills.

Watch: DataOps in Practice – Designing for Change

Smart Data Pipelines Built for Change

The most vulnerable points in a modern data architecture are the thousands of integrations that make modern analytics possible. Only StreamSets Control Hub is designed to provide transparency into that complexity through live data maps, powered by fully instrumented pipelines. See how your data is flowing in real time and automatically detect and handle data drift.

Watch: Modern Data Integration Using Data Collector
Monitor Data Pipelines At Scale
Build Data Pipelines For Data Drift

Single Design Experience for All Patterns

Deliver on the promise of DataOps in the cloud with a fully managed data integration platform for all your data pipeline needs. A single design canvas for building and running all pipeline patterns reduces the time to design and deploy smart data pipelines by 90%.

Watch: DataOps in Practice – Designing for Change
Helpful Resources

The Difference Between Data Governance and Data Management

Every day, business is becoming more dependent on data. From reports stating that the world’s data volume will grow by…


Data Pipeline Architecture: Key Design Principles & Considerations for Data Engineers

Data pipelines are meant to transfer data from a source or legacy system to a target system. Easy right? Well…


Metadata Management

The Basics of Metadata Management: Examples, Tools, and Best Practices Why it's crucial for data engineers, scientists and analysts.

Ready to Get Started?

We’re here to help you start building pipelines or see the platform in action.

Back To Top