Sunday, October 25, 2026 4,350 lists 78,100 records on file
List your app or device
MOBILE US PRESSTECH, ON THE RECORD.
AppsAIDevicesGalaxyChipsCompareStories Every list
  1. Home
  2. Data Version Control Tools
  3. Delta Lake
On the recordRead 7 Oct 202623 facts

Delta Lake

Visit delta.io Alternatives

What it is

Delta Lake is a free, open-source storage framework for building format-agnostic lakehouse architectures on data lakes. It supports serializable ACID transactions to protect data consistency, along with schema enforcement and evolution to manage changes to table data. SQL, Scala/Java, and Python APIs support merging, updating, and deleting datasets. Batch and streaming workloads share a system with exactly-once ingestion semantics, while table time travel provides access to earlier versions for audits, rollbacks, or reproducibility.

Its scalable metadata is designed for petabyte-scale tables with billions of partitions and files. Delta Universal Format lets Iceberg and Hudi clients read Delta tables. Listed integrations and compatible engines include Spark, Flink, Hive, Trino, Athena, BigQuery, Databricks, Microsoft Fabric, Snowflake in beta, PrestoDB, and Redshift. Delta Lake can be used across cloud, on-premises, and local environments with compatible compute engines. It uses a bring-your-own storage backend and supports self-hosted deployment. The independent project is governed through the Linux Foundation Projects, and releases are compatible with specified Apache Spark versions.

For and against

For

  • Free and open-source storage framework.
  • Serializable transactions support data consistency.
  • Time travel gives access to earlier table versions.
  • Supports batch and streaming workloads.
  • Iceberg and Hudi clients can read Delta tables.

Against

  • Requires a bring-your-own storage backend.
  • Releases are compatible with specified Apache Spark versions.
  • Writing to a shared table is not supported by Delta Sharing.

The verdict

Delta Lake provides table storage features for lakehouse architectures, including transactions, schema controls, and earlier-version access. Its bring-your-own storage model and Spark version compatibility are important considerations when planning a deployment.

Who it suits

Delta Lake suits teams building lakehouse architectures that need table transactions, version access, and batch and streaming workloads. It can be used with compatible compute engines across cloud, on-premises, and local environments.

Plans and prices

Delta Lake

Free

Open-source storage framework; use with compatible compute engines and platforms

Read 7 Oct 2026 · delta.io

Every plan, in full

On the record

ACID transactions
Delta Lake provides serializable transactions to protect data consistency.delta.io · read 7 Oct 2026
Batch and streaming
Delta Lake supports unified batch and streaming workloads with exactly-once ingestion semantics.delta.io · read 7 Oct 2026
Community support
The project points users to Slack, GitHub Issues, Stack Overflow, and Google Groups for community help.delta.io · read 7 Oct 2026
Compatibility requirement
Delta Lake releases are compatible with specified Apache Spark versions; for example, the releases page lists Delta Lake 4.3.x with Spark 4.0.x and 4.1.x.docs.delta.io · read 7 Oct 2026
Compute engines
The site lists Spark, PrestoDB, Flink, Trino, Hive, Snowflake, Google BigQuery, Athena, Redshift, Databricks, and Azure Fabric among compatible compute engines.delta.io · read 7 Oct 2026
Data changes
SQL, Scala/Java, and Python APIs support merge, update, and delete operations on datasets.delta.io · read 7 Oct 2026
Data operations
Delta Lake provides SQL, Scala/Java, and Python APIs to merge, update, and delete datasets.delta.io · read 7 Oct 2026
Governance
Delta Lake is an independent open-source project governed through the Linux Foundation Projects and is not controlled by a single company.delta.io · read 7 Oct 2026
Integration example
The integrations page says Apache Spark can read from and write to Delta Lake.delta.io · read 7 Oct 2026
Integration limit
The integrations page describes its ClickHouse integration as read-only for existing Delta Lake tables in Amazon S3.delta.io · read 7 Oct 2026
Integrations
Listed integrations include Apache Spark, Flink, Hive, Trino, Athena, BigQuery, Databricks, Microsoft Fabric, and Snowflake (Beta).delta.io · read 7 Oct 2026
Interoperability
Delta Universal Format lets Iceberg and Hudi clients read Delta tables.delta.io · read 7 Oct 2026
Open format
Delta Universal Format (UniForm) lets Iceberg and Hudi clients read Delta tables.delta.io · read 7 Oct 2026
Project governance
Delta Lake is an independent open-source project that the site says is not controlled by any single company and joined the Linux Foundation Projects in 2019.delta.io · read 7 Oct 2026
Scalable metadata
The project says it can handle petabyte-scale tables with billions of partitions and files.delta.io · read 7 Oct 2026
Schema controls
Schema evolution and enforcement help prevent bad data from causing corruption.delta.io · read 7 Oct 2026
Sharing limit
Delta Sharing reads support batch, streaming, and table changes, but writing to a shared table is not supported.docs.delta.io · read 7 Oct 2026
Table scale
Its scalable metadata feature is described as handling petabyte-scale tables with billions of partitions and files.delta.io · read 7 Oct 2026

Alternatives to Delta Lake

Weights & BiasesAndroidiPhone & iPad+6RoboflowAndroidiPhone & iPad+5DagsHubWebWindows+4git-annexAndroidWeb+5DoltWebWindows+4QuiltWebLinux+2ClearMLWebWindows+4GravitiWebAPI

Every alternative, ranked