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Data Integration for Hybrid & Multi-Cloud Environments

Keep pace with need-it-now data demands, faster and with fewer resources.

Leading Enterprises Run Millions of Data Pipelines with StreamSets

Accelerate Your Snowflake Journey With StreamSets

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Data Professionals Around the World Have Spoken

999 %
are frustrated that non-data experts think you can click a button and data magically appears
999 %
say their pipelines break at least every few months, with 37% admitting it happens at least weekly
999 %
say data integration friction prevents them from delivering data at the speed of business requests

Eliminate Data Integration Friction

In a highly competitive environment, making smarter decisions faster dramatically impacts business outcomes. All it takes is data, integrated across your enterprise. Just one problem; 68% of data leaders say data integration friction prevents them from delivering data at the speed of business requests. 

The right data integration platform eliminates friction so you can quickly support diverse LOBs — even when data engineering resources are scarce. 

G2 Crowd High Performer Spring 2023

Single Interface for the Entire Data Integration Lifecycle

Learn once to develop, deploy, and run many different data pipelines.

Unmatched Pipeline Resiliency

Operate continuously in the face of change and gain the freedom to innovate.

Visibility into Systems and Data Flow

Understand systems and data performance across your enterprise.

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

Insulate Your Data Pipelines From Unexpected Shifts

Using cloud providers’ native data integration tools or enforcing centralized systems with top-down controls results in overly complex and brittle architectures that drive up costs and impede agility.

With StreamSets dynamic pipelines, you can introduce change without worrying about breakage.

Keep Up With Change
StreamSets Control Hub Data Integration Pipelines

Easily Capture, Reuse, and Refine Business Logic

The skill set to build complex business logic is scarce, and when talent leaves, their knowledge walks out the door with them. When changes are inevitably needed your pipelines then break, disrupting data flows and the business operations that rely on them.

With reusable pipeline fragments, you can encapsulate expert knowledge in portable, shareable elements that stay up-to-date, no matter where they are used

Enable Innovation

Flexibly Run Your Data Pipelines on Any Cloud, Hybrid or On-Premises Environment

Technology today moves fast, and your infrastructure and platform choices need to evolve accordingly. But too often, the high barriers of making those shifts keep you operating in a sub-optimal environment.

With infrastructure change management, you can flexibly run your data pipelines in any cloud provider or on-premises environment. Remove the constraints of past decisions and make the technology decisions that are best for your business right now.

Insulate Your Data

Democratizing Data Access to Drive Business Results

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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

See Case Study
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

See Case Study
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

See Case Study
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

See Case Study

Lifting the Lid on the Hidden Data Integration Problem

Under-resourced technical teams struggle to keep up with business requests for data without ceding control, while business teams must have their data on demand to stay competitive. See solutions that reduce frustrations.

Modernize Mainframe Data for Cloud Analytics

Whitepapers & Ebooks

Data Engineer’s Handbook: 4 Cloud Design Patterns

4 Cloud Design Patterns for Data Ingestion and Transformation

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

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