Build Lakehouses with Delta Lake
Delta Lake is an open-source storage framework that enables building a
Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python.
Community driven, rapidly expanding integration ecosystem
One format to unify your ETL, Data warehouse, ML in your lakehouse
Battle tested in over 10,000+ production environments
Use with any query engine on any cloud, on-prem, or locally
Protect your data with serializability, the strongest level of isolation
Handle petabyte-scale tables with billions of partitions and files with ease
Access/revert to earlier versions of data for audits, rollbacks, or reproduce
Community driven, open standards, open protocol, open discussions
Exactly once semantics ingestion to backfill to interactive queries
Schema Evolution / Enforcement
Prevent bad data from causing data corruption
Delta Lake log all change details providing a fill audit trail
SQL, Scala/Java and Python APIs to merge, update and delete datasets
Read the Lakehouse Storage Systems Whitepapers
These whitepapers dive into the features of Lakehouse storage systems and compare Delta Lake, Apache Hudi, and Apache Iceberg. They also explain the benefits of Lakehouse storage systems and show key performance benchmarks.
Join the Delta Lake Community
Delta Lake is supported by more than 190 developers from over 70 organizations across multiple repositories.
Chat with fellow Delta Lake users and contributors, ask questions and share tips.
Delta Lake is an independent open-source project and not controlled by any single company. To emphasize this we joined the Delta Lake Project in 2019, which is a sub-project of the Linux Foundation Projects. Within the project, we make decisions based on these rules.