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Continuous Data for Nonstop Business

Deliver uninterrupted data to every part of your business with smart data pipelines

The Data Engineering Platform Built for DataOps

Design, deploy and operate smart data pipelines using StreamSets so your whole team can spend less time fixing and more time doing.

Easy to Start, Easy to Extend

1 data engineer can enable 10s of ETL developers to serve 100s of analysts

Unmatched Pipeline Resiliency

Don’t let change slow you down, smart data pipelines can handle it

Hybrid, Multi-cloud Portability

Say goodbye to rework and hello to rapid innovation and full visibility

Build Your First Pipeline

Try StreamSets Data Collector on your favorite cloud or download and install locally.

Data Engineering For DataOps On AWS
Data Engineering For DataOps On Azure
Data Engineering For DataOps On Google Cloud
Data Engineering For DataOps On Snowflake
Data Engineering For DataOps On Databricks

Migrate Data and Workloads to Any Cloud

Harness the power of data for advanced data analytics, self-service data science, AI and machine learning by migrating to any cloud data platform with StreamSets.

Intuitive UI,
Powerful Pipelines

Multi-platform,
Multi-cloud

Real-time
Operational
Visibility

  • Shell
State Of Ohio Data Engineering For DataOps

State of Ohio: Overnight COVID-19 Data Dashboard

“With StreamSets we can easily take and use any file format [for the COVID pipeline].”

Sagar Mangam, Avaap for State of Ohio

GSK Using Data Engineering For DataOps

GSK: Advancing New Drug Discovery

With StreamSets, we were able to deploy a million pipelines for thousands of data sources.”

Mark Ramsey, SVP of R&D Data, GSK

Shell Using Data Engineering For DataOps

Shell: AI at Enterprise Scale

StreamSets allows me to provide stable, sustainable data operations on top of both a self-service and professional platform and to operate this at scale.

Dan Jeavons, GM of Data Science, Shell

Humana Using Data Engineering For DataOps

Humana: Digital Transformation in Healthcare

StreamSets technologies and DataOps practices allow us to deliver the business outcomes that we’re focused on and make an impact on the people we serve every day.”

Anne-Britton Arnette, VP, Information Management and Analytics, Humana

RingCentral Data Engineering For DataOps

RingCentral: Quality of Service and Fraud Protection

RingCentral can now address quality of call service in real-time allowing us to make immediate adjustments to the network and carriers.

Michael Becker, Senior Director of Big Data, RingCentral

Live Webinar: April 22

Perfect Data Hand-off: Automate Your Data Load for Machine Learning

See how to create a perfect hand-off to machine learning models in AutoML without coding or scripting. We’ll use Google cloud services DataProc and Google BigQuery with StreamSets.

Register Now

Ready to Get Started?

Request a demo and one of our solutions experts will contact you.

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