Databricks

{{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 | industry = Computer software | founders = {{ubl|Ali Ghodsi|Andy Konwinski|Ion Stoica|Patrick Wendell|Reynold Xin|Matei Zaharia|Arsalan Tavakoli}} | hq_location_city = 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|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 |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 |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.<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.<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 for data analytics and 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' architecture, which combines elements of data warehouses and data lakes for managing structured and 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, an open-source project that adds 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 project at University of California, Berkeley, that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala.<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, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, and 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 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, Databricks provided integration with the Google Kubernetes Engine and Google's 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 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}}</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 |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, 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 |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 |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 to incorporate Gemini 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 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 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 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 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}}</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 |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 |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}}</ref>

In March 2023, in response to the popularity of OpenAI's ChatGPT, the company introduced an open-source language model, named Dolly after Dolly the sheep, that developers could use to create custom chatbots. 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}}</ref> Databricks claimed that Dolly had "ChatGPT-like instruction following ability", but has not released formal benchmark 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 |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 |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 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 and said it aimed to offer an alternative to Google's 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 |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 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 at a $28 billion post-money valuation in February 2021. Other investors include Amazon Web Services, CapitalG (a growth equity firm under Alphabet Inc.) and 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}}</ref> {| class="wikitable" |+Funding rounds !Series !Date !Amount (million $) !Lead investors |- |A |2013 |13.9<ref name="gigaom-series-a" /> |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 |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 |- |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 |- |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 |- |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 |- |K |Aug. 2025 |1,000<ref name=":2" /> |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 warehouses and data lakes.<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 without requiring a traditional 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 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 |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 projects that span data engineering, data science and 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 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, Qlik, Sigma, Looker, and 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 and building AI systems. It includes AI Vector Search for building RAG 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 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 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 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 and Workday has decided to run their products on top of AWS 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 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