Jumpstart Your Databricks Projects
Together, Databricks and StreamSets give analytics leaders and developers more visibility into Apache Spark jobs and easier management of pipelines–no special skills required. Expand access to data with pre-built connections using native integration for Delta Lake and Apache Spark clusters running on Databricks, and visual tools to build and operate smart pipelines that detect and respond to change. It’s time to leverage the massive processing power of Apache Spark for ETL and machine learning.
100+ connectors get your pipelines up and running fast without special skills.
Databricks Power with DataOps Agility
Simplify Databricks and Apache Spark for Everyone
StreamSets visual tools make it easy to build and operate smart data pipelines that are Apache Spark native without specialized skills. Built-in efficient upsert functionality with Delta Lake simplifies and speeds Change Data Capture (CDC) and Slowly Changing Dimension (SCD) use cases. With custom processors your power users don’t have to hold back.
Makes Spark Troubleshooting Easier
Stop hunting through log files and error strings, and focus on always-on alerts. StreamSets Transformer lets you monitor your Delta Lake ingestion pipelines and your Apache Spark applications in real-time plus you get built-in drift detection and handling. Bring the agility and scale of Apache Spark and deliver it with the confidence and visibility of DataOps.
Go Fast and Innovate
StreamSets operationalizes the data value chain so you can go fast while ensuring continuous operations. The StreamSets DataOps Platform helps you quickly adopt high-performance engines like Databricks, so that you can accomplish more, and take advantage of modern data technologies to focus on business innovations.