
Delta Lake
For lakehouse architectures, Delta Lake provides an open-source storage framework with support for engines including Spark, Trino, and Hive.

About Delta Lake
Delta Lake is an open-source storage framework built to support lakehouse architecture deployments. It is maintained as part of the delta-io organization’s suite of open-source data tools, with its core code repository hosted publicly on GitHub.
The framework integrates with a wide range of common data compute engines, including Apache Spark, PrestoDB, Flink, Trino, and Apache Hive, allowing users to read from and write to Delta tables using these tools. It also provides native APIs for Scala, Java, Rust, Ruby, and Python, supporting both direct low-level table interactions and higher-level DataFrame operations for batch and streaming workloads.
It is suited for data engineers, developers, and data teams building or maintaining lakehouse systems that need consistent transactional guarantees and cross-engine compatibility for their data storage layers.
Key features
- Open-source storage framework designed for lakehouse architectures
- Compatible with Spark, Trino, Hive, PrestoDB, and Flink
- Offers native APIs for Scala, Java, Rust, Ruby, and Python
- Implements Delta Transaction Log Protocol for transactional guarantees
- Includes pre-built connectors for common data processing tools
- Open-source with no licensing restrictions
- Broad compatibility with widely used data compute engines
- Supports multiple programming languages via native APIs
- Provides transactional guarantees for data operations
- Apache Flink write support is currently in preview status
Delta Lake at a glance
- Website
- github.com/delta-io/delta
- Category
- Development › APIs & Databases
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Delta Lake FAQ
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