StreamSets Platform for Modern Data Integration
Develop and manage your data pipelines smarter, not harder.
Our Customers Run Millions of Data Pipelines Using StreamSets
Spend More Time Doing and Less Time Fixing
Build, run, monitor, and manage smart data pipelines at scale from a single log in.
Awards and Recognition
Flexible Multi-cloud and Hybrid Deployment
Move easily between on-premises and multiple cloud environments without rework.
Go from Designing Pipelines to Delivering Data at Enterprise Scale
Design, deploy, and operate smart data pipelines using StreamSets Platform.
10x Your Data Team’s
Productivity
1 data engineer enables 10s of ETL developers to serve 100s of analysts
Reduce Maintenance Time by 80%
Spend more time doing and less time fixing with automatic updates and no rewrites
Eliminate Blindspots and Control Gaps
Global transparency and control of all data pipelines at scale across hybrid and multi-cloud
What Our Customers Say
“StreamSets has led to an explosion of user adoption, excitement around data that we’ve never seen before, and real business results.”
Darren Delsol, Client Lead, BT Group
“When an agency wants to switch endpoints, they don’t have to redo the whole pipeline. All they have to do is change the origin.”
Sagar Mangam, Avaap for State of Ohio
Build Data Pipelines Designed For A Hybrid Environment
Enable Innovation And Experimentation
StreamSets separates the data plane from the control plane. You can process data anywhere with a single log in to manage and view all your data execution engines across hybrid and multi-cloud platforms.
Control Hub
Build, run, monitor, and manage smart data pipelines at scale
Transformer
Native execution engine for ETL and machine learning
What Is a Data Integration Platform? And, Why Now?
A data integration platform helps operationalize data integration to deliver continuous data to every part of your business in the face of constant change.
You depend on data that you can’t control.
Data fueling your business today comes from a wide range of internal and external sources. You have to detect and respond to change by design to keep up.
You need data now, not later.
Say “yes” to more sources and destinations. If you can’t deliver the data to power real-time analytics, machine learning and AI, your data consumers will find a way around you.
Your digital transformation is happening now.
StreamSets Data Integration Platform helps your whole team migrate to modern cloud platforms and keep systems in sync.
Data Engineers Gain Efficiencies With StreamSets
8/1/23
"The best feature of StreamSets is its intuitive visual interface, allowing us to effortlessly design, monitor, and manage data pipelines without the need for complex coding. This has significantly reduced our development time and made the process highly accessible to both technical and non-technical team members."
8/3/23
"StreamSets has lot of out of box features to use for data pipelines and connect AWS Kinesis, DB or Kafka and send to HDFS & Hive."
Frequently Asked Questions
What do people use StreamSets for?
Enterprises use StreamSets cloud data integration platform to build, run, manage, and monitor resilient data pipelines at scale — across all cloud and on-premises environments — for modern analytics, data science, smart applications, and hybrid integration.
Who uses StreamSets?
Enterprises and governments worldwide use StreamSets data pipeline platform. Data engineering teams are the primary hands-on users.
Is StreamSets cloud based?
Yes. StreamSets is a cloud based data integration platform that integrates data across all cloud, multi-cloud, on-premises, and hybrid environments.
What are the advantages of StreamSets?
StreamSets eliminates data integration friction so organizations can keep pace with need-it-now data demands, supporting diverse LOBs faster with fewer resources. Our data pipeline platform enables innovation, prototyping, and experimentation with centralized guardrails for good governance. And StreamSets insulates your pipelines from unexpected shifts so you never have to worry about breakages.
Five Data Principles for Ensuring Effective Operational Analytics
The Data Integration Advantage: Building a Foundation for Scalable AI
10 Best Practices for Modern Data Integration
Ready to Get Started?
We’re here to help you start building pipelines or see the platform in action.