What Delta Lake does

Delta Lake is an open-source storage framework that brings ACID transactions, schema enforcement, time travel, and scalable metadata handling to data lakes, enabling the construction of Lakehouse architectures. Originally created at Databricks and contributed to the Linux Foundation in 2019, the project is governed independently as a sub-project under the Linux Foundation Projects. The core technology is a transaction log layered on Parquet files that delivers serializable isolation across batch and streaming workloads and supports petabyte-scale tables with billions of partitions and files. The product portfolio includes the Delta Lake core format, Delta Kernel (a native engine-agnostic API with Rust implementation and FFI bindings for C++ engines), Delta Sharing (an open protocol for cross-platform data sharing), and Delta Universal Format (UniForm) which allows Delta tables to be read by Apache Iceberg and Apache Hudi clients.

The company has no direct revenue and operates under Apache License 2.0. Distribution is fully open-source and product-led through GitHub, Maven Central, and PyPI, with a marketing motion that is primarily community-led through developer relations, Slack (6,000+ members), YouTube, Google Groups, LinkedIn, conference talks, and the weekly "Last Week in a Byte" newsletter. Adoption spans 10,000+ production environments with named users including Adobe, Apple, Amazon, Microsoft, Databricks, ByteDance, Disney, eBay, IBM, Alibaba, Twilio, Scribd, Comcast, HSBC, T-Mobile, and BASF. The project is supported by 190+ developers from 70+ organizations across multiple repositories, and integrates with major compute engines spanning Spark, PrestoDB, Flink, Trino, Hive, Snowflake, Google BigQuery, Athena, Redshift, Databricks, Azure Fabric, ClickHouse, and DuckDB.

The commercial value of Delta Lake is captured downstream by ecosystem players, primarily Databricks, which originated the project and provides managed services, enterprise support, and the Unity Catalog governance layer that coordinates with Delta Lake's catalog-managed tables architecture introduced in version 4.0 (June 2025). The project itself is not a revenue-generating entity; it functions as a foundational open standard whose strategic significance lies in setting the format layer for the lakehouse market rather than generating top-line revenue for the LF Projects entity. Customer segments are horizontal across data engineering teams, analytics and BI teams, and data science/ML teams, with the regulatory and compliance segment as a secondary beneficiary of the audit history and time travel features.

Name

Delta Lake

Legal name

Delta Lake, a series of LF Projects, LLC

Website

https://delta.io

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Delta Lake is an open-source storage framework under the Linux Foundation that adds ACID transactions, schema enforcement, time travel, and scalable metadata to data lakes, enabling Lakehouse architectures for data engineering, analytics, BI, and ML teams across 10,000+ production environments globally.

Ownership category

akta.pro rank

Product category

Open-Source Data Lakehouse Storage

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Lakehouse Platforms (HDAEABAB)

akta.pro secondary industries

Data Lake Platforms (HDAEABAC), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)

Keywords

• Open-source storage framework
• Lakehouse architecture
• ACID transactions
• Open table format
• Data lake storage

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales

Revenue model

1. Open Source Distribution: Delta Lake is freely distributed as open-source software under the Linux Foundation. The project does not generate direct revenue. Commercial value is captured by ecosystem companies like Databricks that provide managed services, enterprise support, and commercial products built on Delta Lake.

Go-to-market motion2 records

Distribution channels4 records

Marketing channels8 records

Core offering

Delta Lake is an open-source storage framework that brings ACID transactions, scalable metadata handling, time travel, schema enforcement, and unified batch/streaming semantics to data lake workloads. It is built on the Parquet file format and integrates with compute engines including Apache Spark, PrestoDB, Apache Flink, Trino, Hive, Snowflake, Google BigQuery, Amazon Athena, Amazon Redshift, Databricks, and Azure Fabric, with APIs for Scala, Java, Rust, and Python.

Product overview

Delta Lake is an open-source storage framework for building lakehouse architectures, managed under the Linux Foundation. The product portfolio centers on Delta Lake as the core open table format with ACID transactions, schema enforcement, time travel, and scalable metadata handling. Key products include Delta Kernel (the native API for engine integration available in Rust with FFI for C++), Delta Sharing (open protocol for cross-platform data sharing), and Delta Universal Format (UniForm) enabling interoperability with Apache Iceberg and Apache Hudi clients. The ecosystem includes delta-rs for Rust implementations, kafka-delta-ingest for Kafka streaming ingestion, and Catalog-Managed Tables for unified governance via Unity Catalog. Delta Lake supports a broad range of compute engines including Apache Spark, PrestoDB, Apache Flink, Trino, Hive, Snowflake, Google BigQuery, Amazon Athena, Amazon Redshift, Databricks, Azure Fabric, ClickHouse, and DuckDB.

Differentiator

Problem solved

Functional benefit

Brands

• Delta Universal Format (UniForm): A universal format for lakehouse interoperability that allows reading Delta tables with Iceberg and Hudi clients.
• Delta Kernel
• Delta Sharing

Products and services

• Delta Lake Open-source storage framework that enables building a lakehouse architecture with ACID transactions, time travel, schema enforcement, and scalable metadata handling. Supports compute engines including Spark, PrestoDB, Flink, Trino, Hive, Snowflake, BigQuery, Athena, Redshift, Databricks, and Azure Fabric, with APIs for Scala, Java, Rust, and Python.
• Delta Kernel The native and general Delta API for all engines to integrate with Delta Tables, providing consistent behavior and semantics across different query engines. Available as a Rust implementation (delta-kernel-rs) with FFI bindings for integration into C++ applications such as ClickHouse.
• Delta Sharing Open protocol for secure data sharing across organizations, enabling Delta Lake table sharing regardless of the computing platforms involved. Supports sharing with partners who may not use Spark or Delta-aware systems.
• Delta Universal Format (UniForm) Enables Delta Lake tables to be read via Apache Iceberg and Apache Hudi clients, providing interoperability across the three major open-source lakehouse table formats. A single Delta table can be accessed by multiple format-compatible engines.
• delta-rs (Delta Lake for Rust) Rust implementation of Delta Lake providing native Rust bindings for reading and writing Delta tables. Powers integrations in Rust-based systems and the ClickHouse database engine.
• kafka-delta-ingest Connector for streaming data ingestion from Apache Kafka topics directly into Delta Lake tables with exactly-once semantics. Authored by Scribd and maintained in the Delta Lake ecosystem.
• DuckDB Delta Extension DuckDB's official Delta extension that supports reading and writing Delta tables, time travel queries, and Unity Catalog integration for governance and data discovery.

Quantifiable outcome

• 60-70% reduction in ingestion development time
• +2 more outcomes

Named customers16 records

Segments4 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration17 records

Feature14 records

Partnerships

Seven partnerships are on record, tiered core and major.

• DatabrickscoreStrategic or Co-development PartnerDatabricks is the originator of Delta Lake and remains the primary contributor and commercial sponsor. The company provides the main commercial platform for Delta Lake and drives core development through engineers like Matei Zaharia (Cofounder and CTO).
• The Linux FoundationcoreStrategic or Co-development PartnerDelta Lake joined the Linux Foundation in 2019 as a sub-project. The foundation provides governance, legal framework, and institutional support for the open-source project.
• Unity CatalogcoreTechnology or IntegrationUnity Catalog (open source from Databricks) integrates deeply with Delta Lake for catalog-managed tables, providing unified governance across lakehouse formats including Delta and Iceberg.
• AdobemajorStrategic or Co-development PartnerActive contributor to Delta Lake ecosystem with engineers contributing to core development and connectors.
• MicrosoftmajorStrategic or Co-development PartnerContributes to Delta Lake with Azure integration including Azure Fabric, Synapse, and OneLake support.
• AmazonmajorTechnology or IntegrationAWS integration including Athena, Redshift, Glue, and S3 storage with Delta Lake connectors.
• ClickHousemajorTechnology or IntegrationClickHouse integrated the Rust Delta Kernel to enable querying Delta Lake tables, contributing improvements upstream to delta-kernel-rs.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• ClickHouse: ClickHouse recently integrated the Rust Delta Kernel to provide native Delta Lake table support with ACID transactions, schema evolution, and time travel. As a high-performance analytical database, ClickHouse is both a consumer of Delta Lake and a potential alternative engine for analytics workloads that might otherwise run on Databricks or Trino.
• DuckDB: DuckDB provides a Delta Extension supporting read/write of Delta tables with time travel and Unity Catalog integration. As an embedded analytical database gaining rapid traction for local and single-node analytics, DuckDB is both a Delta integration partner and a complementary engine that expands the addressable scenarios for Delta Lake.

Direct peers

• Starburst: Starburst provides enterprise Trino (formerly PrestoSQL) with native support for Delta Lake, Iceberg, and Hudi. It targets the same data engineering and analytics personas as Delta Lake–based stacks, offering a query-engine-centric alternative rather than a format-centric one, and competes for lakehouse workloads.
• Dremio: Dremio is a lakehouse platform built around Apache Iceberg that offers a managed query and governance layer for data lakes. It competes with the commercial offerings built on Delta Lake (Databricks) and supports similar use cases — SQL analytics, BI, and data engineering — making it a direct alternative for enterprises choosing a lakehouse architecture.
• Apache Hudi: Apache Hudi is the third major open table format in the lakehouse category, with strengths in incremental data processing and streaming upserts. Like Iceberg, it is now interoperable with Delta Lake via UniForm. Hudi originated at Uber and is backed by AWS, positioning it as a direct alternative for streaming-heavy workloads.
• Apache Iceberg: Apache Iceberg is the most direct competitor to Delta Lake — both are open table formats enabling lakehouse architectures with ACID transactions on data lakes. They compete for the same enterprise mindshare, with Iceberg backed by Snowflake, Apple, Google, and Netflix. The two formats are now interoperable via Delta UniForm, reflecting their status as the dominant alternatives.

Broad incumbents

• Snowflake: Snowflake is the leading cloud data warehouse and a major backer of Apache Iceberg. Snowflake reads and writes Delta Lake tables but strategically supports Iceberg as its primary open-format play. As a larger incumbent with overlapping lakehouse positioning, Snowflake is both an integration partner and a competitive threat to Delta Lake's ecosystem share.
• Databricks: Databricks is the commercial sponsor and originator of Delta Lake, and provides the primary managed platform (Databricks Lakehouse Platform / Unity Catalog) built on it. As the largest commercial beneficiary of Delta Lake adoption, Databricks is both a strategic ally and the dominant commercial entity operating on top of the open-source project.
• AWS Lake Formation: AWS Lake Formation is Amazon's managed service for building data lakes, with native support for multiple table formats including Delta Lake via Glue. As a broader incumbent in cloud data infrastructure, AWS competes for lakehouse workloads while simultaneously integrating Delta Lake, illustrating its dual role as both competitor and distribution channel.

Others

• Apache Spark: Apache Spark is the foundational compute engine Delta Lake was originally built on and remains deeply integrated with. While not a competitor (Delta Lake is a storage layer for Spark), Spark's continued evolution and adoption directly drives Delta Lake usage. Matei Zaharia created both, and they share contributor communities.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/DeltaLakeOSS
• GitHubgo.delta.io/github
• YouTubego.delta.io/youtube
• LinkedInlinkedin.com/company/deltalake

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Delta Lake