The Data Lake ETL Platform

Upsolver is the only frictionless ETL platform for cloud data lakes, enabling data consumers to build automated ETL flows for streaming and historical big data in minutes.

Why choose Upsolver?

Upsolver is built to run natively on any AWS account by decoupling storage on S3, compute on EC2 and metadata management in Glue Data Catalog. Queries in Athena, Redshift Spectrum and other analytics tools run 100X faster since Upsolver automatically optimises S3 with columnar file formats, partitioning and compaction.

How it Upsolver works?

Upsolver was built from the ground up to unlock the business value of event streams, with a cloud first architecture that empowers data consumers to be self-sufficient with streaming data and data lakes.

Top Features


Save thousands of engineering hours with a visual interface and auto-pilot management.


Deliver advanced analytics by combining event streams with historical big data in real-time.


Make all your data available for near real-time analytics and real-time applications.


Add as much compute power as needed for scale and isolation between workloads using a fully decoupled architecture.


Avoid data loss and duplication by using exactly-once processing at every step of your data value chain.


Let users choose their own analytics tool (AWS Athena, Presto, Spark) by storing data and metadata in an open format within your cloud account.

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