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Databricks Raises $500 Milion In A New Funding Round

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Databricks - Lakehouse Platform

A Standout Funding Round Amidst Market Uncertainties

Databricks, a leading data analytics and AI software producer, has successfully secured more than $500 million in its Series I funding round. This achievement is particularly noteworthy given the current trend of reduced valuations for many late-stage startups. Just last year, Databricks raised $1.6 billion, reaching a post-money valuation of $38 billion. The recent addition of $5 billion to its valuation demonstrates that not all companies are equally affected by broader market trends.

Who’s Investing in Databricks

The Series I round saw participation from a mix of pre-IPO and strategic investors. Notable names like T. Rowe Price, Morgan Stanley, Fidelity, and Franklin Templeton are indicative of Databricks’ potential to go public in the near future. On the strategic front, Capital One Ventures and Nvidia have shown interest. The collaboration between Nvidia and Databricks is evident, with both companies heavily invested in AI technologies.

Databricks’ Financial Health and Growth

Despite some indications of slowing revenue growth, Databricks has reported impressive figures. As of the second quarter ending July 31, the company’s revenue run rate exceeded $1.5 billion. With over 10,000 global customers, more than 300 of them contribute to the company’s revenue at a rate of $1 million or more annually. Furthermore, Databricks highlighted its fiscal second quarter as having the strongest quarterly incremental revenue growth in the company’s history.

What’s Next for Databricks

While there’s anticipation around Databricks going public, the company’s current valuation suggests a potential delay in its IPO. With a revenue multiple of 29x, Databricks might seem a tad overpriced for the prevailing market. This could mean that the company is strategizing for more growth before defending its valuation in the public domain. The recent funding is less about recharging and more about strategizing for the future, especially as the race heats up in the AI market.

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