# Databricks

> Mediated Wiki article. Canonical URL: https://mediated.wiki/source/Databricks
> Markdown URL: https://mediated.wiki/source/Databricks.md
> Source: https://en.wikipedia.org/wiki/Databricks
> Source revision: 1356996538
> License: Creative Commons Attribution-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/)

{{Short description| San Francisco-based software company}}
{{Use mdy dates|date=March 2024}}
{{Infobox company
| logo = Databricks_logo.svg
| logo_upright = 1.1
| name = Databricks, Inc.
| image_caption = Databricks booth
| image = DatabricksBooth.jpg
| type = [Private](/source/Privately_held_company)
| industry = [Computer software](/source/Software)
| founders = {{ubl|[Ali Ghodsi](/source/Ali_Ghodsi)|[Andy Konwinski](/source/Andy_Konwinski)|[Ion Stoica](/source/Ion_Stoica)|Patrick Wendell|[Reynold Xin](/source/Reynold_Xin)|[Matei Zaharia](/source/Matei_Zaharia)|Arsalan Tavakoli}}
| hq_location_city = [San Francisco](/source/San_Francisco), California
| hq_location_country = United States
| founded = {{Start date and age|2013}}<ref name=Reuters>{{cite web|url=https://www.reuters.com/technology/databricks-nears-record-95-billion-vc-raise-eyes-extra-45-billion-debt-2024-12-13/|title=Exclusive: Databricks nears record $9.5 billion VC raise, eyes extra $4.5 billion debt|website=[Reuters](/source/Reuters)|date=December 13, 2024|author1=Krystal Hu|author2=Kenrick Cai|author3=Echo Wang|access-date=December 13, 2024}}</ref>
| area_served = 
| revenue = {{Increase}} $5.4 billion (ARR, Jan 2026)<ref name=wsj202412>{{Cite news |last=Jin |first=Berber |date=2024-12-17 |title=Exclusive: Databricks Is Finalizing a $10 Billion Funding Haul |url=https://www.wsj.com/livecoverage/stock-market-today-dow-sp500-nasdaq-live-12-17-2024/card/databricks-is-finalizing-a-10-billion-funding-haul-OaHQ9G5G7y8rS6Uwkxj6 |work=[The Wall Street Journal](/source/The_Wall_Street_Journal) |url-access=subscription |archive-url=https://archive.today/20241217142637/https://www.wsj.com/livecoverage/stock-market-today-dow-sp500-nasdaq-live-12-17-2024/card/databricks-is-finalizing-a-10-billion-funding-haul-OaHQ9G5G7y8rS6Uwkxj6 |archive-date=2024-12-17 |url-status=live}}</ref>
| net_income = Free cash flow positive (2025)
| num_employees = 9,000 (2025)<ref>{{cite web |url=https://www.wsj.com/tech/ai/databricks-raising-funds-at-100-billion-valuation-ac0ffa44 |title=Databricks Raising Funds at $100 Billion Valuation |date=2025-08-19 |work=[The Wall Street Journal](/source/The_Wall_Street_Journal) |url-access=subscription |first=Angel |last=Au-Yeung |archive-url=https://web.archive.org/web/20250819093747/https://www.wsj.com/tech/ai/databricks-raising-funds-at-100-billion-valuation-ac0ffa44 |archive-date=2025-08-19 |url-status=live }}</ref>
| website = {{URL|https://www.databricks.com/|databricks.com}}
}}

'''Databricks, Inc.''' is an American software company based in [San Francisco](/source/San_Francisco).<ref>{{Cite web |last=staff |first=CNBC com |date=2020-06-16 |title=36. Databricks |url=https://www.cnbc.com/2020/06/16/databricks-disruptor-50.html |access-date=2021-04-08 |website=CNBC |language=en |archive-date=December 24, 2022 |archive-url=https://web.archive.org/web/20221224144520/https://www.cnbc.com/2020/06/16/databricks-disruptor-50.html |url-status=live }}</ref> It was founded in 2013 by the original creators of [Apache Spark](/source/Apache_Spark).<ref name=Reuters/><ref>{{Cite news|url=https://www.forbes.com/sites/dereksaul/2023/09/14/top-ipo-prospect-databricks-scores-43-billion-valuation-thanks-to-500-million-funding-round-including-ai-titan-nvidia/?sh=5750590b6bce/|title=Top IPO Prospect Databricks Scores $43 Billion Valuation Thanks To $500 Million Funding Round Including AI Titan Nvidia|last=Saul|first=Derek|date=2023-09-14|newspaper=Forbes|access-date=2024-03-26|archive-date=2024-09-04|archive-url=https://web.archive.org/web/20240904181924/https://www.forbes.com/sites/dereksaul/2023/09/14/top-ipo-prospect-databricks-scores-43-billion-valuation-thanks-to-500-million-funding-round-including-ai-titan-nvidia/?sh=5750590b6bce/|url-status=live}}</ref> It offers a [cloud-based platform](/source/Cloud_computing) for [data analytics](/source/data_analytics) and [artificial intelligence](/source/artificial_intelligence).<ref>{{Cite news |url=https://www.fastcompany.com/91033457/databricks-most-innovative-companies-2024/ |title=How Databricks is helping customers develop their own customized AI models |last=Sullivan |first=Mark |date=2024-03-19 |newspaper=Fast Company|access-date=2024-03-19}}</ref> It operates natively across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The platform includes an open data marketplace built on the Delta Sharing protocol.<ref>https://delta.io/sharing/</ref>

Databricks developed the '[data lakehouse](/source/data_lakehouse)' architecture, which combines elements of [data warehouse](/source/data_warehouse)s and [data lake](/source/data_lake)s for managing structured and [unstructured data](/source/unstructured_data).<ref>{{Cite news |url=https://www.theregister.com/2023/11/16/databricks_sinks_lakehouse_in_bid/ |title=Databricks' lakehouse becomes foundation under fresh layer of AI dreams |last=Clark |first=Lindsay |date=2023-11-16 |newspaper=The Register |access-date=2023-11-16 |archive-date=2024-09-04 |archive-url=https://web.archive.org/web/20240904181923/https://www.theregister.com/2023/11/16/databricks_sinks_lakehouse_in_bid/ |url-status=live }}</ref> The company develops [Delta Lake](/source/Delta_Lake_(Software)), an open-source project that adds [ACID](/source/ACID) transaction support to data lakes.<ref>{{Cite web |date=2019-04-24 |title=Databricks launches Delta Lake, an open source data lake reliability project |url=https://venturebeat.com/2019/04/24/databricks-launches-delta-lake-an-open-source-data-lake-reliability-project/ |access-date=2021-04-06 |website=VentureBeat |language=en-US |archive-date=2022-03-24 |archive-url=https://web.archive.org/web/20220324004540/https://venturebeat.com/2019/04/24/databricks-launches-delta-lake-an-open-source-data-lake-reliability-project/ |url-status=live }}</ref>

== History ==
===2013–2021===
{{stack|thumb|Databricks booth (2023)}}
Databricks grew out of the [AMPLab](/source/AMPLab) project at [University of California, Berkeley](/source/University_of_California%2C_Berkeley), that was involved in making [Apache Spark](/source/Apache_Spark), an [open-source](/source/open-source) distributed computing framework built atop [Scala](/source/Scala_(programming_language)).<ref>{{Cite web |last= |first= |date=2021-09-08 |title=Databricks, SiFive, and Anyscale founders explain how they all built their red-hot startups out of a legendary UC Berkeley lab |url=https://www.businessinsider.com/uc-berkeley-labs-databricks-sifive-anyscale-riselab-amplab-2021-9 |access-date=2025-05-18 |website=Business Insider |language=en-US}}</ref> The company was founded by [Ali Ghodsi](/source/Ali_Ghodsi), [Andy Konwinski](/source/Andy_Konwinski), Arsalan Tavakoli-Shiraji, [Ion Stoica](/source/Ion_Stoica), [Matei Zaharia](/source/Matei_Zaharia), Patrick Wendell, and [Reynold Xin](/source/Reynold_Xin).<ref>{{Cite web |date=2023-03-03 |title=Founders |url=https://www.databricks.com/company/founders |access-date=2025-05-18 |website=Databricks |language=en-US}}</ref>

[Microsoft Azure](/source/Microsoft_Azure) integrated Databricks as Azure Databricks in 2017.<ref>{{Cite web |title=Microsoft makes Databricks a first-party service on Azure |url=https://techcrunch.com/2017/11/15/microsoft-makes-databricks-a-first-party-service-on-azure/ |access-date=2021-04-06 |website=TechCrunch |date=15 November 2017 |language=en-US |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904181924/https://techcrunch.com/2017/11/15/microsoft-makes-databricks-a-first-party-service-on-azure/ |url-status=live }}</ref>

In February 2021, together with [Google Cloud](/source/Google_Cloud), Databricks provided integration with the Google [Kubernetes](/source/Kubernetes) Engine and Google's [BigQuery](/source/BigQuery) platform.<ref>{{Cite web |title=Databricks brings its lakehouse to Google Cloud |url=https://techcrunch.com/2021/02/17/databricks-brings-its-lakehouse-to-google-cloud/ |access-date=2021-02-18 |website=TechCrunch |date=17 February 2021 |language=en-US |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904181925/https://techcrunch.com/2021/02/17/databricks-brings-its-lakehouse-to-google-cloud/ |url-status=live }}</ref> In February 2021, the company reported having more than 5,000 customers.<ref name=":0">{{Cite web |last=Konrad |first=Alex |date=February 2, 2021 |title=Databricks Raises $1 Billion At $28 Billion Valuation, With The Cloud's Elite All Buying In |url=https://www.forbes.com/sites/alexkonrad/2021/02/01/databricks-at-28-billion-valuation-from-aws-google-microsoft-salesforce/ |access-date=July 29, 2021 |website=Forbes |language=en |archive-date=February 1, 2021 |archive-url=https://web.archive.org/web/20210201183055/https://www.forbes.com/sites/alexkonrad/2021/02/01/databricks-at-28-billion-valuation-from-aws-google-microsoft-salesforce/ |url-status=live }}</ref>

===2022–present===
Databricks announced the Data Intelligence Platform, integrating its lakehouse architecture with [generative AI](/source/generative_AI) capabilities acquired from MosaicML.<ref>{{Cite news|url=https://www.forbes.com/sites/kenrickcai/2023/11/14/databricks-data-intelligence-platform-mosaicml/?sh=2a494f717c1a/|title=Databricks' New AI Product Adds A ChatGPT-Like Interface To Its Software|last=Cai|first=Kenrick|date=2023-11-16|newspaper=Forbes|publisher=|access-date=2023-11-16|archive-date=2024-09-04|archive-url=https://web.archive.org/web/20240904181923/https://www.forbes.com/sites/kenrickcai/2023/11/14/databricks-data-intelligence-platform-mosaicml/?sh=2a494f717c1a/|url-status=live}}</ref>

The firm was valued at $62 billion in December 2024,<ref name=":1" /> following a $10 billion funding round.<ref>{{Cite news |date=2024-12-17 |title=Why AI company Databricks just scored one of the biggest funding rounds in history |url=https://www.fastcompany.com/91248820/why-ai-company-databricks-just-scored-one-of-the-biggest-funding-rounds-in-history |work=[Fast Company](/source/Fast_Company)}}</ref>

In early March 2025, Databricks announced it would invest $1 billion in San Francisco's downtown.<ref name="LauraWaxmann_2025_SFChornicle">{{Citation |last=Waxmann|first=Laura  |date=March 5, 2025 |title=San Francisco tech company Databricks to invest $1 billion in city |work=San Francisco Chronicle |publisher=[San Francisco Chronicle](/source/San_Francisco_Chronicle) |url=https://www.sfchronicle.com/sf/article/databricks-investment-ai-company-20205000.php |access-date=March 30, 2025}}</ref>

In March 2025, Databricks entered a five-year partnership with [Anthropic](/source/Anthropic), incorporating Anthropic's AI products into its platform in a deal valued at $100 million.<ref name="HinduBreaur_2025_TheHindu">{{Citation |date=March 27, 2025 |title=Databricks and Anthropic partner to help companies build AI agents  |work=[The Hindu](/source/The_Hindu) |url=https://www.thehindu.com/sci-tech/technology/databricks-and-anthropic-partner-to-help-companies-build-ai-agents/article69381019.ece |access-date=March 30, 2025}}</ref><ref name="BelleLin_2025_WallStreetJournal">{{Citation |last=Lin |first=Belle |date=March 26, 2025 |title=Anthropic, Databricks Team Up in Scramble for AI Revenue |publisher=[The Wall Street Journal](/source/The_Wall_Street_Journal) |url=https://www.wsj.com/articles/anthropic-databricks-team-up-in-scramble-for-ai-revenue-e15fe750 |access-date=March 30, 2025}}</ref> 

In June 2025, Databricks entered into a four-year partnership with [Alphabet](/source/Alphabet_Inc.) to incorporate [Gemini](/source/Gemini_(language_model)) into the Databricks platform.<ref>{{Cite web |title=Databricks Inks Deal With Google to Host Gemini Models |url=https://www.theinformation.com/briefings/databricks-inks-deal-google-host-gemini-models |access-date=2025-11-25 |website=The Information |language=en}}</ref> The company launched Agent Bricks,<ref>{{Cite web |last=Lardinois |first=Frederic |date=2025-06-11 |title=Databricks Launches Agent Bricks, Its New No-Code AI Agent Builder |url=https://thenewstack.io/databricks-launches-agent-bricks-its-new-no-code-ai-agent-builder/ |access-date=2025-11-25 |website=The New Stack |language=en-US}}</ref> a suite of tools to help organizations build AI agents, and Lakebase, an [OLTP](/source/Online_transaction_processing) database.<ref>{{cite press release |title=Databricks Launches Lakebase: a New Class of Operational Database for AI Apps and Agents |url=https://www.prnewswire.com/news-releases/databricks-launches-lakebase-a-new-class-of-operational-database-for-ai-apps-and-agents-302478815.html |publisher=PR Newswire |date=June 11, 2025 |access-date=April 14, 2026}}</ref> 

In April 2025, Databricks was featured in the [Forbes](/source/Forbes) AI 50 list.<ref>{{Cite web |last=SHRIVASTAVA" |first="RASHI |title=Forbes 2025 AI 50 List - Top Artificial Intelligence Companies Ranked |url=https://www.forbes.com/lists/ai50/ |access-date=2026-01-08 |website=Forbes |language=en}}</ref> 

In September 2025, Databricks entered into a partnership with [OpenAI](/source/OpenAI) to incorporate the company's LLMs into the Databricks platform in a deal valued at $100 million.<ref>{{Cite web |last=Novet |first=Jordan |date=2025-09-25 |title=Databricks commits to $100 million in OpenAI spending as high-valued startups team up in AI |url=https://www.cnbc.com/2025/09/25/databricks-commits-to-100-million-in-openai-spending-for-ai.html |access-date=2025-11-25 |website=CNBC |language=en}}</ref>

In December 2025, Databricks raised more than $4 billion in a Series L funding round at a $134 billion valuation. This was Databricks' third major fundraise in less than a year. "It comes as the company focuses on building products that address the needs of the AI revolution: a database for AI agents, an AI agent platform, and apps that let companies build and deploy data and AI applications." <ref>{{Cite web |last=Iyer |first=Ram |date=2025-12-16 |title=Databricks raises $4B at $134B valuation as its AI business heats up |url=https://techcrunch.com/2025/12/16/databricks-raises-4b-at-134b-valuation-as-its-ai-business-heats-up/ |access-date=2026-05-23 |website=TechCrunch |language=en-US}}</ref>

== Acquisitions ==
In June 2020, Databricks bought Redash, an open-source tool for data visualization and building of interactive dashboards.<ref>{{Cite web |date=24 June 2020 |title=Databricks acquires Redash, a visualizations service for data scientists |url=https://techcrunch.com/2020/06/24/databricks-acquires-redash-a-visualizations-service-for-data-scientists/ |access-date=2021-04-06 |website=TechCrunch |language=en-US}}</ref> In 2021, it bought German [no-code](/source/No-code_development_platform) company 8080 Labs whose product, bamboolib, allowed data exploration without any coding.<ref>{{cite web |url=https://www.cnbc.com/2021/10/06/hot-software-start-up-databricks-makes-no-code-acquisition-.html |title=$38 billion software start-up Databricks makes acquisition to leave code behind |website=CNBC |date=October 6, 2021 |author=Eric Rosenbaum |access-date=February 20, 2022 |archive-date=October 6, 2021 |archive-url=https://web.archive.org/web/20211006142433/https://www.cnbc.com/2021/10/06/hot-software-start-up-databricks-makes-no-code-acquisition-.html |url-status=live }}</ref> In May 2023, Databricks bought data security group Okera, extending Databricks data governance capabilities.<ref>{{cite web |last=Palazzolo |first=Stephanie |date=May 3, 2023 |title=Exclusive: $38 billion data and AI darling Databricks acquires security startup Okera |url=https://www.businessinsider.com/data-artificial-intelligence-startup-databricks-acquire-governance-security-okera-2023-5 |url-access=subscription |url-status=live |archive-url=https://web.archive.org/web/20230503195102/https://www.businessinsider.com/data-artificial-intelligence-startup-databricks-acquire-governance-security-okera-2023-5 |archive-date=May 3, 2023 |website=[Business Insider](/source/Business_Insider)}}</ref> In June, it bought the open-source generative AI startup MosaicML for $1.4{{nbsp}}billion.<ref>{{cite news |last1=Datta |first1=Tiyashi |last2=Hu |first2=Krystal |date=June 26, 2023 |title=Databricks strikes $1.3 billion deal for generative AI startup MosaicML |url=https://www.reuters.com/markets/deals/databricks-strikes-13-bln-deal-generative-ai-startup-mosaicml-2023-06-26/ |publisher=[Reuters](/source/Reuters) |access-date=June 27, 2023 |archive-date=June 26, 2023 |archive-url=https://web.archive.org/web/20230626130755/https://www.reuters.com/markets/deals/databricks-strikes-13-bln-deal-generative-ai-startup-mosaicml-2023-06-26/ |url-status=live }}</ref><ref>{{cite news |last=Council |first=Stephen |date=June 26, 2023 |title=SF tech firm Databricks to buy 2-year-old startup for $21 million per employee |url=https://www.sfgate.com/tech/article/databricks-mosaicml-ghodsi-sf-tech-18171502.php |work=[SFGATE](/source/SFGATE) |access-date=June 27, 2023 |archive-date=June 26, 2023 |archive-url=https://web.archive.org/web/20230626221915/https://www.sfgate.com/tech/article/databricks-mosaicml-ghodsi-sf-tech-18171502.php |url-status=live }}</ref> In October, Databricks bought data replication startup Arcion for $100 million.<ref>{{Cite web |last= |first= |date=2023-10-23 |title=After $43B valuation, Databricks acquires data replication startup Arcion for $100M |url=https://techcrunch.com/2023/10/23/after-43b-valuation-databricks-acquires-data-replication-startup-arcion-for-100m/ |access-date=2023-10-23 |website=TechCrunch |language=en-US}}</ref> In 2024, Databricks bought data-management startup Tabular for over $1 billion.<ref>{{Cite news |date=5 June 2024 |editor-last=Galloni |editor-first=Allessandra |title=Databricks to buy data management firm Tabular for over $1 bln |url=https://www.reuters.com/markets/deals/databricks-buy-data-management-firm-tabular-over-1-bln-2024-06-04/ |work=[Reuters](/source/Reuters)}}</ref>

In March 2023, in response to the popularity of OpenAI's [ChatGPT](/source/ChatGPT), the company introduced an open-source [language model](/source/language_model), named Dolly after [Dolly the sheep](/source/Dolly_(sheep)), that developers could use to create custom [chatbot](/source/chatbot)s. Dolly has only 6 billion parameters.<ref>{{cite news |last=Goldman |first=Sharon |date=March 24, 2023 |title=Databricks debuts ChatGPT-like Dolly, a clone any enterprise can own |url=https://venturebeat.com/ai/databricks-debuts-chatgpt-like-dolly-a-clone-any-enterprise-can-own/ |url-status=live |archive-url=https://web.archive.org/web/20230411011910/https://venturebeat.com/ai/databricks-debuts-chatgpt-like-dolly-a-clone-any-enterprise-can-own/ |archive-date=April 11, 2023 |newspaper=[VentureBeat](/source/VentureBeat)}}</ref> Databricks claimed that Dolly had "ChatGPT-like instruction following ability", but has not released formal [benchmark](/source/Benchmark_(computing)) tests comparing it to ChatGPT.<ref>{{Cite web |date=2023-03-23 |title=Hello Dolly: Democratizing the magic of ChatGPT with open models |url=https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html |access-date=2026-01-01 |website=Databricks |language=en-US}}</ref><ref>{{cite news |last1=Hu |first1=Krystal |last2=Nellis |first2=Stephen |date=March 24, 2023 |title=Databricks pushes open-source chatbot as cheaper ChatGPT alternative |url=https://www.reuters.com/technology/databricks-pushes-open-source-chatbot-cheaper-chatgpt-alternative-2023-03-24/ |publisher=[Reuters](/source/Reuters) |archive-url=https://web.archive.org/web/20230325141855/https://www.reuters.com/technology/databricks-pushes-open-source-chatbot-cheaper-chatgpt-alternative-2023-03-24/ |archive-date=March 25, 2023 |url-status=live}}</ref><ref>{{cite news |last=Loften |first=Angus |date=March 24, 2023 |title=Databricks Launches 'Dolly,' Another ChatGPT Rival |url=https://www.wsj.com/articles/databricks-launches-dolly-another-chatgpt-rival-31fd0f5f |newspaper=[The Wall Street Journal](/source/The_Wall_Street_Journal) |url-access=subscription |archive-url=https://archive.today/20230324125524/https://www.wsj.com/amp/articles/databricks-launches-dolly-another-chatgpt-rival-31fd0f5f |archive-date=March 24, 2023 |url-status=live}}</ref>

Databricks reported $1.6 billion in revenue for the 2023 fiscal year.<ref>{{cite web |last1=Wilhelm |first1=Ron Miller and Alex |title=Databricks keeps marching forward with $1.6B in revenue |url=https://techcrunch.com/2024/03/07/databricks-revenue-numbers-ipo/ |website=TechCrunch |access-date=8 March 2024 |date=7 March 2024 |archive-date=March 12, 2024 |archive-url=https://web.archive.org/web/20240312035412/https://techcrunch.com/2024/03/07/databricks-revenue-numbers-ipo/ |url-status=live }}</ref>

In 2025, Databricks acquired a [serverless](/source/Serverless_computing) database startup, Neon,<ref>{{Cite web |date=2025-05-13 |title=Databricks Agrees to Acquire Neon to Deliver Serverless Postgres for Developers + AI Agents |url=https://www.databricks.com/company/newsroom/press-releases/databricks-agrees-acquire-neon-help-developers-deliver-ai-systems |access-date=2025-05-16 |website=Databricks |language=en-US}}</ref> for around $1 billion.<ref>{{Cite web |last=Novet |first=Jordan |date=2025-05-14 |title=Databricks is buying database startup Neon for about $1 billion |url=https://www.cnbc.com/2025/05/14/databricks-is-buying-database-startup-neon-for-about-1-billion.html |access-date=2025-05-16 |website=CNBC |language=en}}</ref>

== Funding ==
In September 2013, Databricks announced it raised $13.9 million from [Andreessen Horowitz](/source/Andreessen_Horowitz) and said it aimed to offer an alternative to Google's [MapReduce](/source/MapReduce) system.<ref name="gigaom-series-a">{{cite web |url=https://gigaom.com/2013/09/25/databricks-raises-14m-from-andreessen-horowitz-wants-to-take-on-mapreduce-with-spark/ |title=Databricks raises $14M from Andreessen Horowitz, wants to take on MapReduce with Spark |last=Harris |first=Derrick |date=September 25, 2013 |access-date=September 28, 2014 |archive-date=January 15, 2022 |archive-url=https://web.archive.org/web/20220115071749/https://gigaom.com/2013/09/25/databricks-raises-14m-from-andreessen-horowitz-wants-to-take-on-mapreduce-with-spark/ |url-status=dead }}</ref><ref>{{cite web |url=http://radar.oreilly.com/2013/09/databricks-aims-to-build-next-generation-analytic-tools-for-big-data.html |title=Databricks aims to build next-generation analytic tools for Big Data |last=Lorica |first=Ben |date=September 25, 2013 |access-date=September 28, 2014 |publisher=[O'Reilly Media](/source/O'Reilly_Media) |archive-date=July 4, 2014 |archive-url=https://web.archive.org/web/20140704090043/http://radar.oreilly.com/2013/09/databricks-aims-to-build-next-generation-analytic-tools-for-big-data.html |url-status=live }}</ref> [Microsoft](/source/Microsoft) was a noted investor of Databricks in 2019, participating in the company's Series E at an unspecified amount.<ref>{{Cite web |title=Databricks raises $250M at a $2.75B valuation for its analytics platform |url=https://techcrunch.com/2019/02/05/databricks-raises-250m-series-e-for-its-analytics-platform/ |access-date=2021-04-08 |website=TechCrunch |date=5 February 2019 |language=en-US |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904181925/https://techcrunch.com/2019/02/05/databricks-raises-250m-series-e-for-its-analytics-platform/ |url-status=live }}</ref><ref>{{Cite web |last=Novet |first=Jordan |date=2019-02-05 |title=Microsoft used to scare start-ups but is now an 'outstandingly good partner,' says Silicon Valley investor Ben Horowitz |url=https://www.cnbc.com/2019/02/04/microsoft-invests-in-databricks-funding-at-2point7-billion-valuation.html |access-date=2021-04-06 |website=CNBC |language=en |archive-date=February 5, 2019 |archive-url=https://web.archive.org/web/20190205175057/https://www.cnbc.com/2019/02/04/microsoft-invests-in-databricks-funding-at-2point7-billion-valuation.html |url-status=live }}</ref> The company has raised $1.9 billion in funding, including a $1 billion Series G led by [Franklin Templeton](/source/Franklin_Templeton_Investments) at a $28 billion post-money valuation in February 2021. Other investors include [Amazon Web Services](/source/Amazon_Web_Services), [CapitalG](/source/CapitalG) (a growth equity firm under [Alphabet Inc.](/source/Alphabet_Inc.)) and [Salesforce Ventures](/source/Salesforce_Ventures).<ref name=":0" /> In August 2021, Databricks finished its eighth round of funding by raising $1.6 billion and valuing the company at $38 billion.<ref>{{cite news |last=Mellor |first=Chris |date=2021-09-01 |title=Databricks raises data lake of cash at monstrous $380bn valuation |url=https://blocksandfiles.com/2021/09/01/databricks-raises-data-lake-of-cash-at-monstrous-38bn-valuation/ |accessdate=2021-09-04 |work=Blocks & Files |archive-date=September 1, 2021 |archive-url=https://web.archive.org/web/20210901152223/https://blocksandfiles.com/2021/09/01/databricks-raises-data-lake-of-cash-at-monstrous-38bn-valuation/ |url-status=live }}</ref>
In December 2024, Databricks announced a $10 billion financing at a valuation of $62 billion.<ref name=":1">{{Cite news |date=2024-12-17 |title=Databricks Is Raising $10 Billion, in One of the Largest Venture Capital Deals |work=The New York Times |url=https://www.nytimes.com/2024/12/17/technology/databricks-funding-venture-capital-deals.html |archive-url=https://web.archive.org/web/20241218031025/https://www.nytimes.com/2024/12/17/technology/databricks-funding-venture-capital-deals.html |archive-date=December 18, 2024 |access-date=2024-12-19 |language=en |last1=Griffith |first1=Erin |url-status=live }}</ref> In August 2025, Databricks announced a $1 billion Series K funding round, raising their valuation to over $100 billion.<ref name=":2">{{Cite web |date=2025-09-05 |title=Databricks Surpasses $4B Revenue Run-Rate, Exceeding $1B AI Revenue Run-Rate |url=https://www.databricks.com/company/newsroom/press-releases/databricks-surpasses-4b-revenue-run-rate-exceeding-1b-ai-revenue |access-date=2025-09-10 |website=Databricks |language=en-US}}</ref> Just 3 months later, in December 2025, Databricks completed a $4 billion Series L funding round at a new valuation of $134 billion.<ref>{{Cite web|last=Iyer|first=Ram|date=December 16, 2025|access-date=January 2, 2025|title=Databricks raises $4B at $134B valuation as its AI business heats up |url=https://techcrunch.com/2025/12/16/databricks-raises-4b-at-134b-valuation-as-its-ai-business-heats-up/ |url-status=live|website=[TechCrunch](/source/TechCrunch)}}</ref>
{| class="wikitable"
|+Funding rounds
![Series](/source/Venture_round)
!Date
!Amount (million $)
!Lead investors
|-
|[A](/source/Series_A_round)
|2013
|13.9<ref name="gigaom-series-a" />
|[Andreessen Horowitz](/source/Andreessen_Horowitz)
|-
|B
|2014
|33<ref name="techcrunch-series-b">{{cite web |last=Miller |first=Ron |date=June 30, 2014 |title=Databricks Snags $33M In Series B And Debuts Cloud Platform For Processing Big Data |url=https://techcrunch.com/2014/06/30/databricks-snags-33m-in-series-b-and-debuts-cloud-platform-for-processing-big-data/ |access-date=September 28, 2014 |publisher=[TechCrunch](/source/TechCrunch) |archive-date=July 1, 2014 |archive-url=https://web.archive.org/web/20140701061716/https://techcrunch.com/2014/06/30/databricks-snags-33m-in-series-b-and-debuts-cloud-platform-for-processing-big-data/ |url-status=live }}</ref>
|[New Enterprise Associates](/source/New_Enterprise_Associates)
|-
|C
|2016
|60<ref>{{Cite web |last=Shieber |first=Jonathan |title=Databricks raises $60 million to be big data's next great leap forward |url=https://techcrunch.com/2016/12/15/databricks-raises-60-million-to-be-big-datas-next-great-leap-forward/ |access-date=2016-12-16 |website=TechCrunch |date=15 December 2016 |archive-date=December 15, 2016 |archive-url=https://web.archive.org/web/20161215181533/https://techcrunch.com/2016/12/15/databricks-raises-60-million-to-be-big-datas-next-great-leap-forward/ |url-status=live }}</ref>
|New Enterprise Associates
|-
|D
|2017
|140<ref>{{Cite web |title=Databricks Secures $140 Million to Accelerate Analytics and Artificial Intelligence in the Enterprise |url=https://databricks.com/company/newsroom/press-releases/databricks-secures-140-million-accelerate-analytics-artificial-intelligence-enterprise |access-date=2019-05-16 |website=Databricks |date=22 August 2017 |language=en-US |archive-date=January 13, 2022 |archive-url=https://web.archive.org/web/20220113182651/https://databricks.com/company/newsroom/press-releases/databricks-secures-140-million-accelerate-analytics-artificial-intelligence-enterprise |url-status=live }}</ref>
|Andreessen Horowitz
|-
|E
|Feb. 2019
|250<ref>{{Cite web |title=Databricks' $250 Million Funding Supports Explosive Growth and Global Demand for Unified Analytics; Brings Valuation to $2.75 Billion |url=https://databricks.com/company/newsroom/press-releases/databricks-250-million-funding-supports-explosive-growth-and-global-demand-for-unified-analytics-brings-valuation-to-2-75-billion |access-date=2019-02-05 |website=Databricks |date=5 February 2019 |language=en-US |archive-date=January 15, 2022 |archive-url=https://web.archive.org/web/20220115063219/https://databricks.com/company/newsroom/press-releases/databricks-250-million-funding-supports-explosive-growth-and-global-demand-for-unified-analytics-brings-valuation-to-2-75-billion |url-status=live }}</ref>
|Andreessen Horowitz
|-
|F
|Oct. 2019
|400<ref>{{Cite web |title=Databricks announces $400M round on $6.2B valuation as analytics platform continues to grow |url=https://techcrunch.com/2019/10/22/databricks-announces-400m-round-on-6-2b-valuation-as-analytics-platform-continues-to-grow/ |access-date=2019-10-24 |website=TechCrunch |date=22 October 2019 |language=en-US |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904182030/https://techcrunch.com/2019/10/22/databricks-announces-400m-round-on-6-2b-valuation-as-analytics-platform-continues-to-grow/ |url-status=live }}</ref>
|Andreessen Horowitz
|-
|G
|Jan. 2021
|1,000<ref>{{Cite web |title=Databricks raises $1B at $28B valuation as it reaches $425M ARR |url=https://techcrunch.com/2021/02/01/databricks-raises-1b-at-28b-valuation-as-it-reaches-425m-arr/ |access-date=2021-02-14 |website=Tech Crunch |date=February 2021 |language=en-US |archive-date=November 3, 2021 |archive-url=https://web.archive.org/web/20211103061840/https://techcrunch.com/2021/02/01/databricks-raises-1b-at-28b-valuation-as-it-reaches-425m-arr/ |url-status=live }}</ref>
|[Franklin Templeton Investments](/source/Franklin_Templeton_Investments)
|-
|H
|Aug. 2021
|1,600<ref>{{Cite web |title=Databricks raises $1.6B at $38B valuation as it blasts past $600M ARR |url=https://techcrunch.com/2021/08/31/databricks-raises-1-6b-at-38b-valuation-as-it-blasts-past-600m-arr/ |access-date=2021-07-01 |website=Tech Crunch |language=en-US |archive-date=December 30, 2021 |archive-url=https://web.archive.org/web/20211230073558/https://techcrunch.com/2021/08/31/databricks-raises-1-6b-at-38b-valuation-as-it-blasts-past-600m-arr/ |url-status=live }}</ref>
|[Morgan Stanley](/source/Morgan_Stanley)
|-
|I
|Sep. 2023
|500<ref>{{Cite web |last1=Nishant |first1=Niket |last2=Hu |first2=Krystal |date=2023-09-14 |title=Databricks raises over $500 mln at $43 bln valuation |url=https://www.reuters.com/technology/databricks-raises-over-500-mln-43-bln-valuation-2023-09-14/ |access-date=2023-09-20 |publisher=Reuters |language=en-US}}</ref>
|Capital One Ventures, Nvidia
|-
|J
|Dec. 2024
|10,000<ref>{{Cite web |last=Tan |first=Huileng |date=December 18, 2024 |title=Databricks is raising a gigantic funding round |url=https://www.businessinsider.com/databricks-ai-series-j-tech-funding-round-valuation-ghodsi-thrive-2024-12 |website=Business Insider}}</ref>
|[Thrive Capital](/source/Thrive_Capital)
|-
|K
|Aug. 2025
|1,000<ref name=":2" />
|[Thrive Capital](/source/Thrive_Capital),  Insight Partners
|-
|L
|Dec. 2025
|4,000<ref>{{Cite web |date=2025-12-15 |title=Databricks Grows >55% YoY, Surpasses $4.8B Revenue Run-Rate, and is Raising >$4B Series L at $134B Valuation |url=https://www.databricks.com/company/newsroom/press-releases/databricks-surpasses-4-8b-revenue-run-rate-growing-55-year-over-year |access-date=2025-12-16 |website=Databricks |language=en-US}}</ref>
|Insight Partners, Fidelity, J.P. Morgan
|}

== Products ==
Databricks develops a cloud data platform referred to as a 'lakehouse', combining features of [data warehouse](/source/data_warehouse)s and [data lake](/source/data_lake)s.<ref>{{Cite journal |last1=Michael |first1=Armbrust |last2=Ghodsi |first2=Ali |last3=Xin |first3=Reynold |last4=Zaharia |first4=Matei |date=January 2021 |title=Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics |url=http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf |journal=Conference on Innovative Data Systems Research |access-date=July 29, 2021 |archive-date=December 22, 2020 |archive-url=https://web.archive.org/web/20201222143821/http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf |url-status=live }}</ref>  The platform is built on the open-source Apache Spark framework, enabling analytical queries on [semi-structured data](/source/semi-structured_data) without requiring a traditional [database schema](/source/database_schema).<ref>{{cite web |title=10 Powerful Features to Simplify Semi-structured Data Management in the Databricks Lakehouse |url=https://www.databricks.com/blog/2021/11/11/10-powerful-features-to-simplify-semi-structured-data-management-in-the-databricks-lakehouse.html |publisher=Databricks |date=November 11, 2021 |access-date=April 14, 2026}}</ref> In October 2022, Lakehouse received [FedRAMP](/source/FedRAMP) authorization for use with the U.S. federal government and contractors.<ref>{{cite news |last=Simone |first=Stephanie |url=https://www.kmworld.com/Articles/News/News/Databricks-achieves-FedRAMP-Authorized-status-155465.aspx |title=Databricks achieves FedRAMP Authorized status |work=KMWorld |publisher=[Information Today](/source/Information_Today) |date=2022-10-17 |accessdate=2022-10-20 |archive-date=October 20, 2022 |archive-url=https://web.archive.org/web/20221020153530/https://www.kmworld.com/Articles/News/News/Databricks-achieves-FedRAMP-Authorized-status-155465.aspx |url-status=live }}</ref>

The company has also created Delta Lake, MLflow and Koalas, [open source](/source/open_source) projects that span [data engineering](/source/data_engineering), [data science](/source/data_science) and [machine learning](/source/machine_learning).<ref>{{Cite web |title=The Two Sigma Ventures Open Source Index |url=https://twosigmaventures.com/open-source-index/ |url-status=live |archive-url=https://web.archive.org/web/20221129150944/https://twosigmaventures.com/open-source-index/ |archive-date=November 29, 2022 |access-date=2021-04-08 |website=Two Sigma Ventures |language=en}}</ref><ref>{{Cite web |title=MLOps Tools - Ranking. OSS Insight |url=https://ossinsight.io/collections/ml-ops-tools |url-status=live |archive-url=https://web.archive.org/web/20240904182429/https://ossinsight.io/collections/ml-ops-tools/ |archive-date=September 4, 2024 |access-date=2024-04-03 |website=OSS Insight |language=en}}</ref>

In June 2020, Databricks launched Delta Engine, a fast query engine for Delta Lake,<ref>{{Cite web |date=2020-06-24 |title=Databricks Cranks Delta Lake Performance, Nabs Redash for SQL Viz |url=https://www.datanami.com/2020/06/24/databricks-cranks-delta-lake-performance-nabs-redash-for-sql-viz/ |access-date=2021-04-08 |website=Datanami |archive-date=July 9, 2020 |archive-url=https://web.archive.org/web/20200709021845/https://www.datanami.com/2020/06/24/databricks-cranks-delta-lake-performance-nabs-redash-for-sql-viz/ |url-status=live }}</ref> compatible with Apache Spark and MLflow.<ref>{{Cite web |date=2019-04-24 |title=Databricks launches Delta Lake, an open source data lake reliability project |url=https://venturebeat.com/2019/04/24/databricks-launches-delta-lake-an-open-source-data-lake-reliability-project/ |access-date=2021-04-08 |website=VentureBeat |language=en-US |archive-date=March 24, 2022 |archive-url=https://web.archive.org/web/20220324004540/https://venturebeat.com/2019/04/24/databricks-launches-delta-lake-an-open-source-data-lake-reliability-project/ |url-status=live }}</ref>

In November 2020, Databricks introduced Databricks SQL (previously called SQL Analytics) for running [business intelligence](/source/business_intelligence) and analytics reporting on top of data lakes. Analysts can query data sets with standard SQL or use connectors to integrate with business intelligence tools like Holistics, [Tableau](/source/Tableau_Software), [Qlik](/source/Qlik), [Sigma](/source/Sigma_(analytics_company)), [Looker](/source/Looker_(company)), and [ThoughtSpot](/source/ThoughtSpot).<ref>{{Cite web |title=Databricks launches SQL Analytics |url=https://techcrunch.com/2020/11/12/databricks-launches-sql-analytics-builds-itself-a-lake-house/ |access-date=2021-04-08 |website=TechCrunch |date=2020-11-12 |language=en-US |archive-date=2024-09-04 |archive-url=https://web.archive.org/web/20240904182532/https://techcrunch.com/2020/11/12/databricks-launches-sql-analytics-builds-itself-a-lake-house/ |url-status=live }}</ref>

Databricks offers a platform for other workloads, including machine learning, data storage and processing, streaming analytics, and business intelligence.<ref>{{Cite web |last=Brust |first=Andrew |title=Databricks, champion of data "lakehouse" model, closes $1B series G funding round |url=https://www.zdnet.com/article/databricks-champion-of-data-lakehouse-model-closes-1b-series-g-funding-round/ |access-date=2021-04-08 |website=ZDNet |language=en |archive-date=2021-02-01 |archive-url=https://web.archive.org/web/20210201193337/https://www.zdnet.com/article/databricks-champion-of-data-lakehouse-model-closes-1b-series-g-funding-round/ |url-status=live }}</ref>

In early 2024, Databricks released the Mosaic set of tools for customizing, [fine-tuning](/source/Fine-tuning_(deep_learning)) and building AI systems. It includes AI Vector Search for building [RAG](/source/Retrieval-augmented_generation) models; AI Model Serving, a service for deploying, governing, querying and monitoring models fine-tuned or pre-deployed by Databricks; and AI Pretraining, a platform for enterprises to create their own LLMs.<ref>{{Cite news |url=https://siliconangle.com/2024/03/13/data-powered-ai-revolutionizing-enterprise-databricks-supercloud6/ |title=Riding the data-powered AI wave: Inside Databricks' unified stack solution |date=2024-03-14 |newspaper=Databricks |language=en-US |access-date=2024-04-05 |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904182429/https://siliconangle.com/2024/03/13/data-powered-ai-revolutionizing-enterprise-databricks-supercloud6/ |url-status=live }}</ref>

In March 2024, Databricks released its [DBRX](/source/DBRX) foundation model under the Databricks Open Model License.<ref>{{cite web |title=Databricks Open Model License |url=https://www.databricks.com/legal/open-model-license |website=Databricks |access-date=6 August 2025 |date=27 March 2024}}</ref> It has a [mixture-of-experts](/source/Mixture_of_experts) architecture and is built on the MegaBlocks open-source project.<ref>{{Cite news |url=https://siliconangle.com/2024/03/27/databricks-open-sources-large-language-model/ |title=Databricks open-sources its own large language model, DBRX |date=2024-03-27 |newspaper=Databricks |language=en-US |access-date=2024-04-05 |archive-date=April 5, 2024 |archive-url=https://web.archive.org/web/20240405134948/https://siliconangle.com/2024/03/27/databricks-open-sources-large-language-model/ |url-status=live }}</ref> DBRX cost $10 million to create. According to the company, DBRX performed competitively on industry benchmarks against other open-source models available at the time.<ref>{{cite web |title=Databricks' open-source DBRX LLM beats Llama 2, Mixtral, and Grok |url=https://www.infoworld.com/article/2336516/databricks-open-source-dbrx-llm-beats-llama-2-mixtral-and-grok.html |work=InfoWorld |date=March 28, 2024 |access-date=April 14, 2026}}</ref> It beat other models like Llama 2 at solving logic puzzles and answering general knowledge questions, among other tasks. While it has 136 billion parameters, it only uses 36 billion, on average, to generate outputs.<ref>{{Cite news |url=https://www.wired.com/story/dbrx-inside-the-creation-of-the-worlds-most-powerful-open-source-ai-model/ |title=Inside the Creation of the World's Most Powerful Open Source AI Model |date=2024-03-27 |newspaper=Databricks |language=en-US |access-date=2024-04-05 |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904182552/https://www.wired.com/story/dbrx-inside-the-creation-of-the-worlds-most-powerful-open-source-ai-model/ |url-status=live }}</ref> According to Databricks, DBRX can be used as a foundation for companies to build customized AI models using their proprietary data.<ref>{{Cite news |url=https://www.fastcompany.com/91070566/databricks-ai-model-enterprise |title=Databricks' new open-source AI model could offer enterprises a leaner alternative to OpenAI's GPT-3.5 |date=2024-03-27 |newspaper=Databricks |language=en-US |access-date=2024-04-05 |archive-date=September 4, 2024 |archive-url=https://web.archive.org/web/20240904182431/https://www.fastcompany.com/91070566/databricks-ai-model-enterprise |url-status=live }}</ref>{{Primary source inline|date=January 2026|reason=The whole paragraph is currently based on sources from Databricks, despite containing promotional claims about performance}}

In June 2024, Databricks open sourced Unity Catalog, a unified governance offering, under the Apache Spark 2.0 license.<ref>{{Cite web |title=Databricks races with Snowflake to open up data catalog source code |url=https://www.infoworld.com/article/2337619/databricks-races-with-snowflake-to-open-up-data-catalog-source-code.html |access-date=2026-05-26 |website=InfoWorld |language=English}}</ref>

In addition to building the Databricks platform, the company has co-organized [massive open online courses](/source/Mooc) about Spark<ref>{{Cite news |date=2014-12-02 |title=Databricks to run two massive online courses on Apache Spark |url=https://databricks.com/blog/2014/12/02/announcing-two-spark-based-moocs.html |url-status=live |archive-url=https://web.archive.org/web/20220113191350/https://databricks.com/blog/2014/12/02/announcing-two-spark-based-moocs.html |archive-date=January 13, 2022 |access-date=2016-12-16 |newspaper=Databricks |language=en-US}}</ref> and a conference for the Spark community called the Data + AI Summit,<ref>{{Cite web |title=Data + AI Summit |url=https://databricks.com/dataaisummit |url-status=live |archive-url=https://web.archive.org/web/20220423234458/https://databricks.com/dataaisummit |archive-date=April 23, 2022 |access-date=2021-04-08 |website=Databricks |language=en-US}}</ref> formerly known as Spark Summit.<ref>[https://towardsdatascience.com/highlights-from-data-ai-summit-2021-3abfd9aaccaa/ Highlights from DATA+AI Summit 2021] Towards Data Science. June 27, 2021</ref>{{Primary source inline|date=January 2026}}

At the 2025 Data + AI Summit, Databricks introduced Agent Bricks, a development platform for AI agents,<ref>{{Cite web |last=Lardinois |first=Frederic |date=2025-06-11 |title=Databricks Launches Agent Bricks, Its New No-Code AI Agent Builder |url=https://thenewstack.io/databricks-launches-agent-bricks-its-new-no-code-ai-agent-builder/ |access-date=2025-12-16 |website=The New Stack |language=en-US}}</ref> Lakebase, a transactional database,<ref>{{Cite web |date=2025-06-11 |title=Following Neon acquisition, Databricks launches serverless Lakebase database |url=https://siliconangle.com/2025/06/11/following-neon-acquisition-databricks-launches-serverless-lakebase-database/ |access-date=2025-12-16 |website=SiliconANGLE |language=en-US}}</ref> and Databricks One, a no-code AI business intelligence platform.<ref>{{Cite news |last=Sullivan |first=Mark |date=2025-06-11 |title=Databricks' new 'One' dashboard brings AI to the business class (exclusive) |url=https://www.fastcompany.com/91349979/databricks-one-dashboard-ai-business-leaders |archive-url=http://web.archive.org/web/20250821092740/https://www.fastcompany.com/91349979/databricks-one-dashboard-ai-business-leaders |archive-date=2025-08-21 |access-date=2025-12-16 |work=Fast Company |language=en-US}}</ref> The company also disclosed its Databricks SQL product would grow to a $1 billion revenue run rate.<ref>{{Cite web |last= |date=2025-06-11 |title=Databricks Projects $1 Billion in Revenue From Data Warehouse Business |url=https://www.pymnts.com/business/2025/databricks-projects-1-billion-in-revenue-from-data-warehouse-business/ |access-date=2025-12-16 |website=PYMNTS |language=en-US}}</ref>

In March 2026, Databricks released Genie Code, an AI agent for data science and engineering tasks.<ref>{{Cite news |last=Dey |first=Victor |date=2026-03-11 |title=Exclusive: Databricks launches ‘Genie Code’ to own the next frontier of vibe-coding |url=https://www.fastcompany.com/91505774/exclusive-databricks-launches-genie-code-to-own-the-next-frontier-of-vibe-coding |archive-url=http://web.archive.org/web/20260312102606/https://www.fastcompany.com/91505774/exclusive-databricks-launches-genie-code-to-own-the-next-frontier-of-vibe-coding |archive-date=2026-03-12 |access-date=2026-05-26 |work=Fast Company |language=en-US}}</ref> That same month, the company announced Lakewatch, an AI-powered agentic security platform to automate threat detection and response.<ref>{{Cite web |last=Whiting |first=Rick |title=Databricks Expands Into Cybersecurity Arena With New Lakewatch Offering |url=https://www.crn.com/news/security/2026/databricks-expands-into-cybersecurity-arena-with-new-lakewatch-offering |archive-url=http://web.archive.org/web/20260325015508/https://www.crn.com/news/security/2026/databricks-expands-into-cybersecurity-arena-with-new-lakewatch-offering |archive-date=2026-03-25 |access-date=2026-05-26 |website=www.crn.com}}</ref>

== Revenue ==
As of February 9, 2026, Databricks had a $5.4 billion revenue run rate, growing > 65% year over year.<ref>{{Cite web |last=Whiting |first=Rick |title=Databricks Reports $5.4 Billion Revenue Run Rate As It Closes A $7B Investment Round |url=https://www.crn.com/news/software/2026/databricks-reports-5-4-billion-revenue-run-rate-as-it-closes-a-7b-investment-round |archive-url=http://web.archive.org/web/20260505153922/https://www.crn.com/news/software/2026/databricks-reports-5-4-billion-revenue-run-rate-as-it-closes-a-7b-investment-round |archive-date=2026-05-05 |access-date=2026-05-30 |website=www.crn.com}}</ref> Databricks also delivered positive free cash flow over the 12 months prior. <ref>{{Cite web |date=2026-02-08 |title=Databricks Grows >65% YoY, Surpasses $5.4 Billion Revenue Run-Rate, Doubles Down on Lakebase and Genie |url=https://www.databricks.com/company/newsroom/press-releases/databricks-grows-65-yoy-surpasses-5-4-billion-revenue-run-rate |access-date=2026-05-31 |website=Databricks |language=en-US}}</ref>

=== Collaborations ===
In December 2024, Databricks along with [Wiz](/source/Wiz%2C_Inc.) and [Workday](/source/Workday%2C_Inc.) has decided to run their products on top of [AWS](/source/Amazon_Web_Services) via the new button called "Buy with AWS".<ref>{{Cite web |last=Novet |first=Jordan |date=2024-12-04 |title=Amazon rolls out Buy with AWS button to let software vendors more easily sell to its cloud customers |url=https://www.cnbc.com/2024/12/04/amazon-will-sell-software-with-buy-with-aws-button-for-partner-sites.html |access-date=2024-12-08 |website=CNBC |language=en}}</ref>

In June 2025, Databricks announced a partnership with [Google Cloud](/source/Google_Cloud_Platform) to integrate its platform with Google Cloud services.<ref name="DatabricksGoogleCloud2">{{cite web |date=2025-06-11 |title=Databricks Announces Strategic AI Partnership with Google Cloud to Bring Data Intelligence Platform to Customers Worldwide |url=https://www.databricks.com/company/newsroom/press-releases/databricks-announces-strategic-ai-partnership-google-cloud-bring |access-date=2025-06-13 |publisher=Databricks}}</ref>

==References==
{{reflist}}

Category:Big data companies
Category:Free software companies
Category:Software companies based in the San Francisco Bay Area
Category:Software companies established in 2013
Category:Privately held companies based in San Francisco

---
Adapted from the Wikipedia article [Databricks](https://en.wikipedia.org/wiki/Databricks) by Wikipedia contributors ([contributor history](https://en.wikipedia.org/wiki/Databricks?action=history)). Available under [Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/). Changes may have been made.
