IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration.
Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds.
Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift.
Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.
Leverage a single low-code user interface that designs and deploys smart data pipelines for streaming data without hand coding.
Deploy our SaaS solution on Amazon Web Services, Inc. (AWS), Azure, Google Cloud Platform (GCP) and run workloads where your data resides—in your cloud provider, virtual private cloud (VPC) or local infrastructure.
Streamline the process of creating and deploying a large number of pipelines with Python software development kit (SDK). Leverage templates and a blend of graphical user interface (GUI) tools to make data accessibility more inclusive.
Learn how IBM StreamSets accelerates streaming data integration for business-critical workloads
What is a data pipeline and why does it matter so much for modern business?
Connect data from disparate sources in multicloud environments with a range of integration styles.
IBM named a Leader for the 19th year in a row in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools.