Databricks

History

2025: Purchase of the developer of the Neon DBMS, founded by Russians for $1 billion

On May 14, 2025, the data processing, analytics and artificial intelligence company Databricks announced the conclusion of an agreement on the purchase of the developer of the Neon DBMS with Russian roots. The transaction amount will be about $1 billion. Read more here.

2021

Acquisition of German firm 8080 Labs

Big data development company Databricks has announced the acquisition of German firm 8080 Labs GmbH, the developer of the "low-code" data analytics tool bamboolib. The terms of the deal between Databricks and 8080 Labs were not disclosed. Read more here.

Raising $1 billion from Google, Amazon, Microsoft, an estimate of $28 billion

In early February 2021, the Databricks raised $1 billion from Amazon Web Services CapitalG (a private company under management), Alphabet and, Salesforce Ventures Google Microsoft which had previously invested in Databricks. The developer's estimate ON rose to $28 billion.

The funding round was led by Franklin Templeton, with Fidelity and Whale Rock among the new investors. Investors from which Databricks has previously raised funds include Andreessen Horowitz, T. Rowe Price, Tiger Global, BlackRock, Coatue, Alkeon Capital Management.

Software developer for analyzing Databricks data raised $1 billion, its estimate reached $28 billion

By early February 2021, Databricks is developing a series of four open source products, including the Delta Lake storage solution. Databricks CEO Ali Godsi noted that the company initially planned to raise a much more modest $200 million, but the figure was increasing as more parties wanted to invest in the company. The company still decided to limit the round to $1 billion.

The funds raised will be used for M&A deals, the creation of the Lakehouse concept, international expansion as well as the expansion of the engineering team, the CEO said.

Godsey also made it clear that he did not intend to allow the percentage of revenue that the company spends on research and development to decrease, as is customary in modern software companies: as many SaaS companies grow, they spend more of their revenue on sales and marketing purposes, rather than developing the product itself. Databricks wants to avoid this by continuing to invest in engineering personnel.

Godsey argues that the pace of AI innovation is so fast that IP will become obsolete in just a few years. This means that companies that want to lead in this area must either continue to invest in development, or retreat.^[1]

Notes