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.
“Data Collector Helps Speed Up Development Time.”
“One Of The Best Data-Pipelining Tools Across Multiple Platforms”
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100+ connectors get your pipelines up and running fast without special skills.
Operationalize Your Data Collection
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.
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.
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.