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StreamSets Data Collector

Build streaming data pipelines from any source to any destination

Data Ingestion Pipelines, Simplified

Easily modernize your data lakes and data warehouses without hand coding or special skills, and feed your analytics platforms with continuous data from any source. StreamSets Data Collector is an easy-to-use modern execution engine for fast data ingestion and light transformations that can be used by anyone.

Design pipelines for streaming, batch and change data capture (CDC) in minutes

Trigger CDC operations to keep data fresh and protected

Monitor data in flight and handle data drift with fully instrumented pipelines

StreamSets Data Collector Screenshot Shows Fast Data Ingestion Pipelines
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“Data Collector Helps Speed Up Development Time.”

CEO at a Services Company
April 22, 2020

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“One Of The Best Data-Pipelining Tools Across Multiple Platforms”

CEO at a Services Company
April 22, 2020

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Gartner Peer Insights Reviews

The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.


100+ connectors get your pipelines up and running fast without special skills.

Fast Data Ingestion For Amazon Web Services
Fast Data Ingestion For Cloudera
Fast Data Ingestion For Microsoft Azure
Fast Data Ingestion For Oracle
Fast Data Ingestion For Salesforce
Fast Data Ingestion For Redis

Operationalize Your Data Collection

Data Collector: Pipelines Designed For Change

Design the Easy Way

Build schema-agnostic streaming data pipelines with pre-built sources and destinations in minutes for streaming, batch, and change data capture (CDC), using a single, visual tool. StreamSets Data Collector makes it easy to deploy execution engines from Oracle, Salesforce, JDBC, Hive, and more to Snowflake, Databricks, ADLS, and other core cloud platforms. Data Collector simplifies the design experience for Apache Kafka and runs on-premises or any cloud, wherever your data lives.

Read: 12 Best Practices for Modern Data Integration

Ingest Data Across Multiple Platforms

Run your data in a development environment on multiple platforms without rework. Data Collector pipelines are platform agnostic by design so you can reuse them across hybrid and multi-cloud environments. With a few configuration settings, any data professional can start ingestion from any source to multiple platforms, giving your organization the flexibility to test evolving ecosystems and adapt more quickly to new business needs. 

Watch: DataOps in Practice – Designing for Change
Handle Data Drift
Go Fast And Innovate With StreamSets Data Collector

Embrace Change with Resiliency

Worst case scenario: an upstream change doesn’t break your pipeline, it flows unreliable, confusing, or unusable data into your analytics platform undetected. Intent-driven pipelines built for change detect data drift, reducing risk of bad data downstream and outages. When data drift happens, Data Collector pipelines alert you to remediate issues or embrace emergent design.

Watch: Modern Data Integration Using Data Collector
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