Databricks raises $4B at $134B valuation as AI business drives 55% revenue growth

Databricks Funding Reaches $4 Billion in Rare Series L Round

Databricks has closed a $4 billion investment in a Series L funding round at a $134 billion valuation, marking a 34% increase from the $100 billion valuation it achieved just three months ago 1

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. The round was led by Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management, with participation from Andreessen Horowitz, BlackRock, Blackstone, Coatue, GIC, MGX, NEA, Ontario Teachers Pension Plan, Robinhood Ventures, T. Rowe Price Associates, Temasek, Thrive Capital, and Winslow Capital 3

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. This represents the company's third major venture fundraise in less than a year, demonstrating sustained investor confidence in the data intelligence platform's AI-driven growth trajectory 1

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AI Products Drive Revenue to $4.8 Billion Run Rate

The San Francisco-based company disclosed that it surpassed a $4.8 billion revenue run rate in the third quarter, growing more than 55% year-over-year 5

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. More than $1 billion of this revenue came from its AI products, while data warehousing businesses also exceeded a $1 billion run rate 1

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. The company has remained cash-flow positive for the past 12 months, a rarity among high-growth tech firms in the AI space 2

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. Databricks' net retention rate exceeds 140%, indicating that existing customers are significantly increasing their spending over time 4

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Focus on AI-Focused Products for Enterprise Applications

Databricks is channeling its capital into three strategic AI-focused products designed for AI application development. Lakebase, a serverless database based on the open source database Postgres and enabled by the $1 billion acquisition of startup Neon, has already been adopted by thousands of customers since its June launch 4

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. The platform supports online feature serving, allowing AI models to access regularly updated data points on both Databricks' platform and external infrastructure 4

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. Agent Bricks helps businesses build and deploy AI agents that can tap into their proprietary data, generating synthetic training data and benchmark tests to optimize agent performance 1

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. Databricks Apps serves as the user experience layer, automating authentication features, access controls, and cybersecurity guardrails to accelerate application development 4

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Strategic Partnerships and Expansion Plans

The company has struck hefty deals worth hundreds of millions with AI labs Anthropic and OpenAI to offer their models within its enterprise products 1

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. Its five-year deal with Anthropic, valued at $100 million, offers Anthropic's Claude AI models through Databricks' data intelligence platform, allowing its more than 15,000 client companies to build and deploy AI agents that can reason on their own data 3

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. Over the past year, Databricks has launched or expanded partnerships with Microsoft, Google Cloud, SAP, and Palantir 3

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. The company plans to use the new capital to add thousands of new jobs in Asia, Europe, and Latin America, as well as bring on more AI researchers 1

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IPO Remains Uncertain Despite Strong Performance

Despite operating at a scale most companies reach only after going public, Ali Ghodsi, co-founder and CEO of Databricks, told CNBC that the company could pursue an IPO in 2026, though no final decision has been made 3

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. The company's ability to raise ungodly amounts of capital without public scrutiny raises questions about whether high-growth tech companies still need traditional public offerings 1

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. Databricks has raised more than $14 billion from investors over the past two years, suggesting additional funding rounds could follow 4

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. "Enterprises are rapidly reimagining how they build intelligent applications, and the convergence of generative AI with new coding paradigms is opening the door to entirely new workloads," Ali Ghodsi said in a statement 1

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. The company serves more than 20,000 customers globally, including Shell, AT&T, Toyota, Adobe, S&P Global, Warner Bros Discovery, and NBA 5

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. The capital infusion will also provide liquidity for employees and support future acquisitions in the machine learning and AI space 3

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