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Databricks, Inc.
IndustryComputer software
Founded2013; 10 years ago (2013)
United States
Key people
  • Ali Ghodsi
  • (CEO)
  • Ion Stoica
  • (Executive chairman)
RevenueIncrease $1 billion+ (2022)[1]
Number of employees
4,000+ (2022)[1]

Databricks, Inc. is an American enterprise software company founded by the creators of Apache Spark.[2] Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. The company develops Delta Lake, an open-source project to bring reliability to data lakes for machine learning and other data science use cases.[3]


Databricks booth

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. The company was founded by Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia,[4] Patrick Wendell, and Reynold Xin.

In November 2017, the company was announced as a first-party service on Microsoft Azure via integration Azure Databricks.[5]

In June 2020, Databricks acquired Redash, an open-source tool designed to help data scientists and analysts visualize and build interactive dashboards of their data.[6]

In February 2021 together with Google Cloud, Databricks provided integration with the Google Kubernetes Engine and Google's BigQuery platform.[7] Fortune ranked Databricks as one of the best large "Workplaces for Millennials" in 2021.[8] At the time, the company said more than 5,000 organizations used its products.[9]

In August 2021, Databricks finished their eighth round of funding by raising $1.6 billion and valuing the company at $38 billion.[10]

In October 2021, Databricks made its second acquisition of German no-code company 8080 Labs. 8080 Labs makes bamboolib, a data exploration tool that does not require coding to use.[11]

In response to the popularity of OpenAI's ChatGPT, in March 2023, the company introduced an open-source language model, named Dolly after Dolly the sheep, that developers could use to create their own chatbots. Their model uses fewer parameters to produce similar results as ChatGPT, but Databricks had not released formal benchmark tests to show whether its bot actually matched the performance of ChatGPT.[12][13][14]

Databricks acquired data security startup Okera in May 2023 to extend its data governance capabilities.[15] The next month, it acquired an open-source generative AI startup MosaicML for $1.4 billion.[16][17]


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.[18][19] Microsoft was a noted investor of Databricks in 2019, participating in the company's Series E at an unspecified amount.[20][21] 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.[9]

Funding Rounds
Series Date Amount (million $) Lead Investors
A 2013 13.9[18] Andreessen Horowitz
B 2014 33[22] New Enterprise Associates
C 2016 60[23] New Enterprise Associates
D 2017 140[24] Andreessen Horowitz
E Feb. 2019 250[25] Andreessen Horowitz
F Oct. 2019 400[26] Andreessen Horowitz
G Jan. 2021 1,000[27] Franklin Templeton Investments
H Aug. 2021 1,600[28] Morgan Stanley
I Sep. 2023 500[29] Capital One Ventures, Nvidia


Databricks develops and sells a cloud data platform using the marketing term "lakehouse", a portmanteau based on the terms "data warehouse" and "data lake".[30] Databricks' lakehouse is based on the open source Apache Spark framework that allows analytical queries against semi-structured data without a traditional database schema.[31] In October 2022, Lakehouse received FedRAMP authorized status for use with the U.S. federal government and contractors.[32]

Databricks' Delta Engine launched in June 2020 as a new query engine that layers on top of Delta Lake to boost query performance.[33] It is compatible with Apache Spark and MLflow, which are also open source projects from Databricks.[34]

In November 2020, Databricks introduced Databricks SQL (previously known as SQL Analytics) for running business intelligence and analytics reporting on top of data lakes. Analysts can query data sets directly with standard SQL or use product connectors to integrate directly with business intelligence tools like Tableau, Qlik, SigmaComputing, Looker, and ThoughtSpot.[35]

Databricks offers a platform for other workloads, including machine learning, data storage and processing, streaming analytics, and business intelligence.[36]

The company has also created Delta Lake, MLflow and Koalas, open source projects that span data engineering, data science and machine learning.[37] In addition to building the Databricks platform, the company has co-organized massive open online courses about Spark[38] and a conference for the Spark community called the Data + AI Summit,[39] formerly known as Spark Summit.


Databricks is headquartered in San Francisco.[40] It also has operations in Canada, the United Kingdom, Netherlands, Singapore, Australia, Germany, France, Japan, China, South Korea, India, Brazil, Switzerland and Serbia.[41]


  1. ^ a b Loten, Angus (2022-08-05). "Databricks Says It Has Surpassed $1 Billion in Annualized Revenue". The Wall Street Journal. Archived from the original on 2022-08-07.
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  3. ^ "Databricks launches Delta Lake, an open source data lake reliability project". VentureBeat. 2019-04-24. Retrieved 2021-04-06.
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  14. ^ Goldman, Sharon (March 24, 2023). "Databricks debuts ChatGPT-like Dolly, a clone any enterprise can own". VentureBeat. Archived from the original on April 11, 2023.
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  41. ^ "Worldwide locations". Retrieved 2022-10-20.