Databricks is in the process of closing a new round of $ 100 billion, sources confirmed in TechCrunch. The round was initially reported by the Wall Street Journal.
A source that is familiar with the deal tells Techcrunch exclusively that the new round is about $ 1 billion and was wildly excessive. Databricks, known for data analysis products, has avoided selling even more equity justice because no cash was needed after a $ 10 billion in a $ 10 billion rating of $ 10 billion in January. (Openai has since a record of $ 40 billion in March.)
The round realized so much from the first investors of Databricks, Insight Partners, TechCrunch has learned. These two businesses led the last round as well. The company has now raised about $ 20 billion since it was founded in 2013.
This was a primary round, which means that it did not include employees selling their shares. However, sources near the company say Databricks already has two secondary rounds for employees in 2025. These bids allowed employees to sell up to 40%, 50%or 60%of their shares, depending on the size of their entries.
In both cases, the source said that the full funds available for the secondary round were not maximum, which means that employees were holding in more shares than they could sell. While Databricks is not clear in a rush on the iPO, workers were two recent chances of redeeming shares.
This new round, however, was raised to follow two specific projects-a database for AI agents and the AI Agent platform-the co-founder and chief executive of Databricks, Ali Ghodsi, told Techcrunch in an interview.
The company will largely invest in its AI agents database, making it generally available to all customers. Started the product, known as Lakebase, in June at the annual technology conference. Lakebase, based on the open source postgres database, is the degree of business and supports corporate developer coding projects. This makes it a competitor in Supabase.
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‘Database purchase is $ 105 billion [total addressable market]The revenue, sitting there, has not been affected for the last 40 years, “Ghodsi told TechCrunch, giving a thin nod to how the database of the database Oracle has been a lock in the market for decades.
“Here is the interesting statistical element that no one pays attention: A year ago, we saw in the data that 30% of the databases was not created by humans. For the first time they were created by the AI agents and this year, the statistics is 80%,” he said, adding that it predicts that this status would increase 99% of new databases.
“There is a new user. The user is not a human. He is an AI agent. And if we just double make this user’s face successful. This is the wedge to disrupt this tam,” he said.
As for how Lakebase will be differentiated from Supabase and others already building databases based on Postgres for agents, Ghodsi said the key is “separated and storage”.
By disconnecting the exact calculation from lower cost storage, Databricks can allow users to create many databases. “Because these agents are extremely fast, they just rotate a lot of databases, much faster than people can, but you don’t want to go bankrupt because you do it,” he explained.
The second project Databricks will largely invest in AI Agent Agent Agent Bricks, too started in June. “Everyone is super -focused on supervision,” Ghodsi said. “But this is not what we need in organizations.”
Instead of artificial general mathematics or scientists for cancer destruction, which companies are needed are agents who can handle reliably, not help, secular duties, such as boarding employees or answer personalized questions about the benefits of human resources.
“I think it’s a much bigger opportunity, in fact, for the world GDP and for organizations,” he said. He believes that this focus will give a brick agent a competitive advantage.
He also put the extra cash so that the Databricks can get into the AI poaching wars. “As you know, it is quite expensive to hire AI talent right now,” he said, smiling.
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