Skip to main content

Databricks, Inc.

Data AnalyticsFounded 2013
Reviewed by Swet Parvadiya
Company data updated: October 2026

Acquisitions

Databricks Acquisitions

7

Major Deals Covered

$3.3B

Disclosed Deal Value

What are Databricks's biggest acquisitions?

Databricks's largest disclosed acquisition here is MosaicML for $1.3B in 2023. This page covers 7 major deals from 2023 to 2026, each with its price where disclosed and the reason behind it.

Major deals covered
7
Largest deal
MosaicML ($1.3B)
First deal
2023
Most recent
2026
CompanyYearPricePurpose
MosaicML2023$1.3BAcquired to provide enterprises with cost-effective infrastructure and algorithms for building, fine-tuning, and deploying private foundation models.
Tabular2024$1.0BAcquired the company founded by the creators of Apache Iceberg to unify Delta Lake and Iceberg open table formats. The price was reported as over $1 billion.
Lilac AI2024UndisclosedAcquired to enhance unstructured data exploration and curation for LLM training datasets. Terms were not disclosed.
Neon2025$1.0BAcquired the serverless Postgres startup (price reported at about $1 billion) to give AI agents and applications an operational database alongside the lakehouse.
Panther2026UndisclosedAnnounced June 16, 2026 at Data + AI Summit: an agreement to acquire the AI security operations (SOC) platform to build out a 'security lakehouse' for threat detection on Databricks.
Electric2026UndisclosedAcquired in August 2026 for its technology that runs and syncs WebAssembly-based Postgres databases inside application environments, keeping data close to AI agents.
Row Zero2026UndisclosedAcquired September 24, 2026: a Seattle startup whose spreadsheet handles very large datasets, to add a governed spreadsheet interface to Genie.
What companies has Databricks bought?
Major acquisitions by Databricks documented here include MosaicML (2023), Neon (2025), Tabular (2024), Panther (2026) and Electric (2026).
What is Databricks's most recent acquisition?
The most recent Databricks acquisition documented here is Panther, in 2026.

Panther

2026

Why

Announced June 16, 2026 at Data + AI Summit: an agreement to acquire the AI security operations (SOC) platform to build out a 'security lakehouse' for threat detection on Databricks.

Impact

Extends Databricks into security analytics, a market served by SIEM vendors.

Outcome

Terms were not disclosed.

Electric

2026

Why

Acquired in August 2026 for its technology that runs and syncs WebAssembly-based Postgres databases inside application environments, keeping data close to AI agents.

Impact

Complements Lakebase for agent-driven and local-first applications.

Outcome

Terms were not disclosed.

Row Zero

2026

Why

Acquired September 24, 2026: a Seattle startup whose spreadsheet handles very large datasets, to add a governed spreadsheet interface to Genie.

Impact

Targets ungoverned 'spreadmarts' used by finance, operations, and sales teams.

Outcome

Terms were not disclosed; Row Zero keeps supporting non-Databricks data sources.

Neon

2025

$1.0B

Why

Acquired the serverless Postgres startup (price reported at about $1 billion) to give AI agents and applications an operational database alongside the lakehouse.

Impact

Became the foundation of Lakebase, Databricks' serverless Postgres product.

Outcome

Lakebase passed a $100 million revenue run-rate by August 2026.

Tabular

2024

$1.0B

Why

Acquired the company founded by the creators of Apache Iceberg to unify Delta Lake and Iceberg open table formats. The price was reported as over $1 billion.

Impact

Brought Iceberg's original creators in-house and accelerated Delta Lake and Iceberg interoperability through UniForm.

Outcome

Enabled enterprise customers to query any open data format with zero lock-in, removing a major sales objection vs. Snowflake.

Lilac AI

2024

Why

Acquired to enhance unstructured data exploration and curation for LLM training datasets. Terms were not disclosed.

Impact

Folded into Mosaic AI data preparation tooling.

Outcome

Strengthened Databricks' tools for curating text data used in AI applications.

MosaicML

2023

$1.3B

Why

Acquired to provide enterprises with cost-effective infrastructure and algorithms for building, fine-tuning, and deploying private foundation models.

Impact

Transformed Databricks into a leading generative AI platform and catalyzed the creation of the Mosaic AI product suite.

Outcome

MosaicML's team built the DBRX open model (2024) and the Mosaic AI training and serving stack, which later underpinned Agent Bricks.

Databricks, Inc.'s Growth & Acquisition Strategy

Databricks is expanding from analytics into the systems that enterprise AI agents run on. The 2026 funding is earmarked for three products: Lakebase, a serverless Postgres database for agents built on the 2025 acquisition of Neon; Genie, an AI coworker that answers business questions from governed data; and Unity AI Gateway, which routes requests across AI models with governance and cost controls. Acquisitions fill gaps quickly: Panther for security analytics (announced June 2026), Electric for local Postgres sync (August 2026), and Row Zero to add a governed spreadsheet to Genie (September 2026). Alongside this, Databricks keeps pushing its Lakehouse warehousing product to take SQL workloads from legacy and cloud data warehouses.

How Databricks, Inc. Makes Money

Databricks makes money by charging for compute consumed on its platform, measured in Databricks Units (DBUs). Customers usually sign annual or multi-year committed-spend contracts and then draw them down as their engineers run pipelines, SQL queries, model training, model serving, and AI agents. There is no flat seat fee for most workloads, so revenue rises as data volumes and AI usage grow. Databricks runs on AWS, Microsoft Azure (where it is sold as the first-party Azure Databricks service), and Google Cloud, and customers can often pay for it through existing cloud commitments. Newer products such as Lakebase (serverless Postgres), Genie, and Agent Bricks extend the same consumption model to operational databases and AI agents.

Databricks Acquisitions FAQ

What was the significance of the $1.3 billion acquisition of MosaicML in 2023?

In July 2023, Databricks acquired MosaicML for $1.3 billion, securing state-of-the-art generative AI training infrastructure, open-source LLMs (MPT-7B/30B), and top AI research talent to establish Databricks as the premier enterprise foundation model platform.

Why did Databricks acquire Tabular for over $1.0 billion in 2024?

In June 2024, Databricks acquired Tabular (founded by Ryan Blue and Daniel Weeks, the creators of Apache Iceberg) for over $1.0 billion, uniting the Delta Lake and Apache Iceberg open-source communities under Databricks' UniForm open table format.

Why did Databricks acquire Einblick in 2024?

In February 2024, Databricks acquired Einblick, an AI-native data canvas platform developed at MIT and Brown University, integrating natural-language AI workflows into Databricks SQL and notebook environments.

How did the acquisition of Okera in 2023 enhance AI data governance?

In May 2023, Databricks acquired Okera, a leader in AI-centric data governance, integrating Okera's fine-grained access control and automated data masking into Unity Catalog to secure sensitive data accessed by LLMs.

Why did Databricks acquire data visualization startup Redash in 2020?

In June 2020, Databricks acquired open-source dashboard and visualization company Redash, integrating Redash's query editor and visualization tools to build the user interface of Databricks SQL.

What was the strategic rationale behind acquiring Arcion in 2023 for $100 million?

In October 2023, Databricks acquired Arcion for $100 million, adding real-time, low-latency Change Data Capture (CDC) replication from enterprise relational databases (Oracle, SAP, Salesforce) directly into the Databricks Lakehouse.

How does Databricks evaluate potential mergers and acquisitions?

Databricks acquires pioneering data engineering, open-source protocol, and generative AI startups with exceptional engineering founders whose technology can be natively integrated into the Databricks Data Intelligence Platform.

How does Databricks integrate acquired open-source technologies for public benefit?

Following major acquisitions (such as Tabular and MosaicML), Databricks commits to open-sourcing critical components (such as open-sourcing Unity Catalog and releasing open-weight foundation models like DBRX) to prevent industry lock-in.

What is Databricks' biggest acquisition?

In 2023, right as the Generative AI boom exploded, Databricks executed a massive $1.3 billion acquisition of MosaicML. This allowed Databricks to instantly offer its enterprise clients the ability to build and train their own massive, private language models.

Related M&A Histories

Compare corporate acquisition records, deal values, and strategic targets

Content is for informational purposes only. Not financial advice. Data sourced from SEC filings, annual reports, and public records. See our full disclaimer and methodology.