"What's driving the numbers isn't just classic data analytics. Databricks says around $1.4bn of its revenue run rate now comes from AI-related products, reflecting how quickly companies are trying to turn large datasets into something usable for machine learning and generative AI. Instead of building separate stacks for data and AI, many customers are opting for platforms that combine both."
"In practice, that means Databricks is leaning into tools that make complex data systems easier to use. Products like Genie, which lets people query data using plain language, and Lakebase, a new operational database designed for AI-driven applications, are meant to lower the barrier between raw data and real-world use. While Databricks is still private, its scale increasingly puts it in the same conversation as public cloud giants."
Databricks achieved a $5.4bn annual revenue run rate with 65% year-over-year growth and has raised more than $7bn in capital alongside a large debt facility, valuing the business at $134bn. About $1.4bn of the revenue run rate comes from AI-related products as customers converge data and AI onto unified platforms. Databricks is prioritizing tools that simplify complex data systems, including natural-language querying via Genie and an operational database for AI applications called Lakebase. The company is investing to scale Lakebase and Genie to enable developers and employees to turn raw data into accurate, actionable insights.
Read at TNW | Deep-Tech
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