Delta Lake
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.
At a glance
- Editor score8.3 / 10
- PricingFree plan
- Best forTransactional lakehouse table teams
- Free planYes
- Paid fromFree
- Data scopeTables
- Facts checked22 Sep 2026

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.
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Delta Lake pricing
Delta Lake fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Data scope | Tables |
| Dataset branching | Not verified |
| Point-in-time rollback | Yes |
| Snapshot granularity | Table |
| Storage backend | Bring_your_own |
| Deployment model | Both |
| Deployment | Cloud, Self-hosted |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 14 integrations: Apache Spark, Apache Flink, Apache Hive, Trino, PrestoDB, Apache Druid … See all → |
| Pricing | Free plan |
| Website | delta.io |
| Facts checked | 22 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
- lakeFSOpen-source, Git-like version control for governed data on object storage.9.4
- DoltGit-style table versioning with MySQL compatibility and open-source deployment.9.2
- DataLadA free, technical toolkit for versioning, reproducing, and synchronizing large file datasets.9.0
See all Delta Lake alternatives →
Also Ranked In
Delta Lake is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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