What Databricks Delta Lake does
Delta Lake is an open-source storage framework for building a format-agnostic lakehouse that works across many compute engines. It suits data teams combining ETL, data warehousing and machine learning on one platform, and developers using its Scala, Java, Rust and Python APIs. Features include ACID transactions with serializable isolation, scalable metadata for very large tables, time travel to access or revert earlier data versions, unified batch and streaming, schema evolution and enforcement, audit history, and merge, update and delete operations. UniForm lets Iceberg and Hudi clients read Delta tables. It integrates with Spark, Flink, Trino, Hive, PrestoDB and major cloud warehouses. It is an independent Linux Foundation project, free as open source.
How Databricks Delta Lake compares with its closest alternatives
4 of the 5 closest alternatives have a free plan, as Databricks Delta Lake does. All 5 offer an API, as Databricks Delta Lake does. Databricks Delta Lake offers a command-line tool. Of the alternatives, 4 offer a command-line tool. Databricks Delta Lake was founded in 2013; the alternatives were founded between 2013 and 2021. The alternatives with a known headquarters are in the Netherlands and the United States.