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Delta Lake

Free#9 of 36 in Data Version Control ToolsAnalytics Data

Delta Lake: A free, open table format for teams managing transactional lakehouse workloads. Ranked #9 of 36 in Data Version Control Tools by our editors (8.3/10); pricing: Free plan; best for transactional lakehouse table teams.

8.3/10Editor score
Delta Lake8.3 Visit Delta Lake

At a glance

  • Editor score
    8.3 / 10
  • Pricing
    Free plan
  • Best for
    Transactional lakehouse table teams
  • Free plan
    Yes
  • Paid from
    Free
  • Data scope
    Tables
  • Facts checked
    22 Sep 2026
Delta Lake screenshot
  • Where it wins

    • ACID transactions, time travel, rollback, and schema controls
    • Batch and streaming reads and writes across multiple engines
    • Broad integrations with engines, warehouses, and orchestration tools
  • Where it doesn't

    • Requires self-hosted or API-based deployment rather than a hosted application
    • Storage and vacuum settings affect version retention
    • Best suited to table-focused lakehouse architectures

Our verdict on Delta Lake

Delta Lake is an open-source storage framework and table format for building lakehouse architectures on existing data lakes. It is designed for data engineers and organizations running analytical, machine-learning, and ETL workloads. Data remains in user-specified cloud or local storage, while Delta Lake adds transaction-log-based versioning, ACID transactions, schema enforcement, time travel, rollback, and interoperability between batch and streaming workloads.

Its ecosystem is a major strength for teams working across more than one data engine. Connectors and integrations include Apache Spark, Apache Flink, Apache Hive, Trino, PrestoDB, Apache Druid, ClickHouse, Dagster, Kafka, Athena, AWS EMR, Snowflake, and Starburst. The Delta Rust API is also available. This breadth supports lakehouse environments that combine processing engines, query systems, orchestration, and cloud services rather than depending on a single platform.

The standout capability is table-level version control with transactional operations. Teams can query historical versions, restore tables to an earlier point in time, enforce or evolve schemas, and perform merge, update, delete, and upsert operations. Shallow table cloning adds another option for working with table state, while serializable isolation supports transactional consistency. Delta Lake is a strong fit for teams that want an open, self-managed table format with broad engine compatibility. Organizations seeking a vendor-hosted application, rather than storage on their own infrastructure, should consider a different type of product.

Your product? Our editors can test Delta Lake in depth and publish a review, labelled as paid · from $149/mo →

Delta Lake pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on delta.io

Delta Lake fact sheet

Free planYes
Paid fromFree
Data scopeTables
Dataset branchingNot verified
Point-in-time rollbackYes
Snapshot granularityTable
Storage backendBring_your_own
Deployment modelBoth
DeploymentCloud, Self-hosted
SupportCommunity, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations14 integrations: Apache Spark, Apache Flink, Apache Hive, Trino, PrestoDB, Apache Druid … See all →
PricingFree plan
Websitedelta.io
Facts checked22 Sep 2026

Delta Lake integrations

Delta Lake lists 14 integrations on its own site.

  • Apache Spark
  • Apache Flink
  • Apache Hive
  • Trino
  • PrestoDB
  • Apache Druid
  • ClickHouse
  • Dagster
  • Delta Rust API
  • Kafka
  • Athena
  • AWS EMR
  • Snowflake
  • Starburst

See all Delta Lake integrations →

Alternatives to Delta Lake

See all Delta Lake alternatives →

Also Ranked In

Delta Lake is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Delta Lake 8.3/10

Delta Lake is listed in our Data Version Control Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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