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Data Integration for the Cloud World

StreamSets is now recognized in the Gartner Magic Quadrant for Data Integration Tools.

Leading Enterprises Run Millions of Data Pipelines with StreamSets

Data Integration Platform Built for DataOps

Make DataOps the foundation for all your Ops initiatives with a single, fully managed, end-to-end platform for smart data pipelines.

Single Design Experience for All Patterns

Build streaming, batch, CDC, ETL, ELT, and ML pipelines from a single UI

Unmatched Pipeline Resiliency

Don’t let change disrupt operations, smart data pipelines can handle it

Mission Control for Hybrid and Multi-cloud

Never wonder about the health and performance of your pipelines

Find Out How StreamSets Can Help Your Business

Which of the following data sources are used in your organization?

How often does data drift occur in your data engineering projects?

How many pipelines do you typically publish per month?

Deploy Data and Workloads to Any Cloud

Harness the power of data for advanced analytics, self service data science, AI/ML and real-time smart apps on hybrid and multi-cloud environments with StreamSets.

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

Why Data Integration is Better with DataOps

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The modern data ecosystem isn’t just big, it’s enormous. With constantly changing data structure, semantics, and infrastructure (aka data drift), how can you deliver data continuously with confidence?

Apply DataOps principles to data integration. By architecting for change with continuous design, continuous operations, and continuous data observability, it’s easy to respond to change and adapt to new business conditions and innovations with speed and agility.

The StreamSets DataOps Platform brings DataOps to data integration.

  • 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

Ready to Get Started?

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

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