Ingestion Pipelines Built in Hours Not Weeks

Design batch and streaming flows into your data lake with a minimum of code. Centrally manage groups of pipelines as dataflow topologies, with live metrics and Data SLAs.
Read the White Paper >

Data Lake

Situation

Consolidating your siloed data in a single data lake is critical if your mission is to be truly data-driven, but in many cases, the mere process of ingesting data into platforms like Apache Hadoop™ stands in the way.

Challenge

Data lake ingestion usually requires custom coding and specialized skills, translating to high costs and lengthy projects that delay getting data to data scientists and applications. Also, frequent changes to pipelines means constant rework, often requiring more effort and expense than the original dataflow design.

Our Solution

StreamSets DataOps Platform simplifies data lake ingestion. Design and run batch and streaming pipelines in a fraction of the time using a cloud-native drag-and-drop environment that minimizes coding and facilitates collaboration. Detect and handle data drift such as added fields or changed data types. Continuously monitor pipelines for dataflow performance and data health.

VIDEO
StreamSets & GSK
Freeing Data for Drug Discovery
WEBINAR
How Cox Automotive Built
a Self-Service Data Exchange

Let your data flow

Receive Updates

Receive Updates

Join our mailing list to receive the latest news from StreamSets.

You have Successfully Subscribed!

Pin It on Pinterest