CEO DataBricks says $ 1B fresh will help them attack the new Ai’s market database


DataBricks in the process of closing fresh round with $ 100 billion prices, resources are confirmed to techcrroch. This round was originally reported by Journal Wall Street.

The source known to the agreement tells the exclusive techcrunch for $ 1 billion, and a wild wild. DataBricks, best known for data analytics products, declined from sale more equity because they do not need money for operations after breaking the recording $ 10 billion worth of $ 62b worth in JanuaryAccording to the source. (The opening begins the record $ 40 billion raise in March.)

The rounds Co-led by two grows and one of the early investors data, consideration partnerTechCrunch has been studied. These two companies cause last round, as well. This company has now produced approximately $ 20 billion pre-established in 2013.

This is a major round, which means not to include an employee selling stock. However, the source of the company said that the chest has been in the secondary inheritance for employees in 202 years, 50%, 50%, 50% of these stocks, depending on the catch size.

In both cases, the source says, the complete fund is available for the secondary rounds not spoken, meaning employees held more than they are sold. When databricks are clearly No hurry to IPOEmployees have two new possibilities for stock cash.

This new round, but it is pursuitly for the pursuit of two specific projects – Database for agents AI and platform AI – Ghodsi’s dataBricks tell us the techcrunch in the interview.

The company will invest in the database for Agent AI, generally available for all customers. This launches the product, which is known as LakeBase, In June at the annual technology conference. Lakebase, based on the posts opened database, is the company company and supports the vibe coding project company. This makes it Competitor for the supply.

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“The database market is $ 105 billion tam, which is produced, which is not affected by the years,” Ghodsi tells us in the market during the decade. Tam shows the target market that can be applied.

“This interesting statistics are none of them to pay attention: last year, we see the data that 30% of these plants are not created by Agent AI.

“There is a new user. The user is not human. A Agent AI, and if we are just double down the successful user, the wedge is to interrupt the tam,” he said.

As practice will be different from the supply and others who have developed postgres-based database for agents, Ghodsi said “the computation was separated” separated. ”

By wearing the price of cheap storage, dataBricks can be able to allow users to make many databases. “Because the agent is super fast. They just play many databases, faster than humans, but you don’t want to bankrupt because you have explained,” explained.

The second project data will invest very much on the AI platform agent, as well as launched in June. “All people are focused on the super intelligence,” Ghodsi said. “But it’s not the required in the organization.”

Instead of general maths or public cancers, whether the company needed is an unable to handle, unlikely assignment like a conversation employee or answer on HR.

“I think that a larger chance, basically, for GDP all over the world and for the organization,” said. They believe that the focus will give you a competitive brick

They also pick up additional cash so dataBrick to enter Wars poaching aiSee rankings-. “You know, it’s pretty expensive to hire ai’s talent now,” she smiled.



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