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Databricks history
Databricks company history timeline
With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow.
The company obtained its first round of public funding in 2013, raising $14 million in a Series A funding round led by Andreessen Horowitz.
In 2013, Ben Horowitz (Co-founder of Andreessen Horowitz VC), planted some hope in them by investing $14 Million and encouraged them on creating a company, that serves as a platform to run Apache Spark. Thus, Databricks was established in 2013.
Things took time and eventually in 2015 Databricks had achieved the popularity needed for both initial traction and becoming a highly valued company.
Finally, in 2015, Spark, the technology Databricks manifests, gained huge popularity and global adoption.
The Databricks project began in 2015 as a way to use Spark more conveniently.
Finally, in 2015, the founders decided to end these rumors by participating in a contest where they beat the world record for processing one petabyte of data in the lowest time and as a result, they gained media attention and popularity.
Among them, co-founder Ali Ghodsi, who is Databricks' CEO since January 2016, had the vision of creating a company that would be the clear winner in the big data platform race.
By 2017, they were valued at $500 Million but their annual revenue was way lower at $1 Million.
A 2017 partnership with Microsoft played an important role in Databrick’s growth.
In November 2019, Databricks celebrated the milestone of having hired the 1000th full-time employee for them.
Microsoft participated in the Series E funding in 2019 that led to the creation of Azure Databricks.
Revenues increased again in 2019, with the company generating $200 million.
Redash was acquired on June 24, 2020 by Databricks.
The company is poised to continue booming during the rest of 2020, as more and more enterprises are adopting artificial intelligence to strengthen their operations.
The company so far raised $883 million and has generated $350 million in revenues for the third quarter of 2020.
Databricks was recognized by research firm Gartner in the 2020 Magic Quadrant as a Leader in Data Science and Machine Learning Platforms.
The company also ranked 5th in the 2020 Cloud 100.
8080 Labs, a Low-code/No-code company, was acquired on October 6, 2021.
The company is also gearing up to go public in 2021, and Databricks' CEO and co-founder Ali Ghodsi says there's plenty of investor demand to make that happen.
The company's $6 billion valuation and impressive revenue numbers have only fueled talks of a Databricks IPO. Ghodsi and the rest of the management team have not confirmed the company going public, but reports are indicating the company will offer an IPO by 2021.
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Databricks competitors
| Company name | Founded date | Revenue | Employee size | Job openings |
|---|---|---|---|---|
| 1998 | $350.0B | 139,995 | 3,660 | |
| Juniper Networks | 1996 | $5.1B | 9,400 | - |
| Red Hat | 1993 | $3.4B | 13,400 | 234 |
| VMware | 1998 | $13.4B | 31,000 | 2 |
| IBM | 1911 | $62.8B | 270,000 | 3,861 |
| Akritiv | 2009 | - | 10,002 | - |
| Collabnet | 1999 | $56.0M | 750 | - |
| SugarCRM | 2004 | $60.0M | 450 | 22 |
| New Relic | 2008 | $925.6M | 1,934 | 118 |
| Altova | 1992 | $285.7M | 20 | - |
Databricks history FAQs
Zippia gives an in-depth look into the details of Databricks, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Databricks. The employee data is based on information from people who have self-reported their past or current employments at Databricks. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Databricks. The data presented on this page does not represent the view of Databricks and its employees or that of Zippia.
Databricks may also be known as or be related to Databricks, Databricks Inc. and Databricks, Inc.