Databricks Series N (2023)

Databricks, an American data software company, raised $5 billion in a Series N funding round in August 2026, reaching a $190 billion post-money valuation. The round was led by Coatue Management and included Blackstone, MGX, T. Rowe Price, and Sixth Street Growth.

Databricks, Inc. is an American data software company headquartered in San Francisco, California. Founded in 2013, it offers cloud computing-based data analytics and can run on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The company developed the 'data lakehouse' architecture, which combines elements of data warehouses and data lakes for managing structured and unstructured data. Databricks also develops Delta Lake, an open-source project that adds ACID transaction support to data lakes.

In August 2026, Databricks closed a $5 billion Series N funding round at a $190 billion post-money valuation, led by Coatue Management. This round marked one of the largest private financings in the technology sector and reflected the company's rapid growth amid the generative AI boom.

Origins and Founding

Databricks grew out of the AMPLab project at University of California, Berkeley, which was involved in making Apache Spark, an open-source distributed computing framework built atop Scala. The company was founded in 2013 by Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, and Reynold Xin. The founders were all researchers who had worked on Spark and sought to commercialize the technology for enterprise data processing.

The company initially raised $13.9 million from Andreessen Horowitz in September 2013, aiming to offer an alternative to Google's MapReduce system. This early funding allowed Databricks to develop its cloud platform and attract initial customers.

Early Growth and Product Development

Microsoft Azure integrated Databricks as Azure Databricks in 2017, marking a significant partnership that expanded the company's reach into enterprise markets. In February 2021, Databricks partnered with Google Cloud to provide integration with Google Kubernetes Engine and BigQuery platform. By that time, the company reported having more than 5,000 customers.

Databricks developed its core lakehouse architecture, which processes data while allowing organizations to maintain both structured and unstructured data in a single system. This approach contrasted with traditional proprietary data warehouses and gained traction among enterprises seeking flexibility in their data exploration and analytics workflows.

In June 2020, Databricks acquired Redash, an open-source tool for data visualization and building interactive dashboards. In 2021, it bought German no-code company 8080 Labs, whose product bamboolib allowed data exploration without coding. These acquisitions expanded Databricks' product suite beyond core data processing.

AI Integration and MosaicML Acquisition

In March 2023, in response to the popularity of OpenAI's ChatGPT, Databricks introduced an open-source language model named Dolly after Dolly the sheep. Dolly had only 6 billion parameters and was designed for developers to create custom chatbots. Databricks claimed Dolly had "ChatGPT-like instruction following ability" but did not release formal benchmark tests comparing it to ChatGPT.

In June 2023, Databricks acquired MosaicML, an open-source generative AI startup, for $1.4 billion. This acquisition brought in expertise in training and deploying large language models efficiently. The company announced the Data Intelligence Platform, integrating its lakehouse architecture with generative AI capabilities acquired from MosaicML.

In October 2023, Databricks bought data replication startup Arcion for $100 million. In 2024, it acquired data-management startup Tabular for over $1 billion, further strengthening its data infrastructure offerings.

Funding History and Valuation Growth

Databricks has raised substantial funding across multiple rounds. Microsoft was a noted investor in 2019, participating in the company's Series E at an unspecified amount. The company raised $1.9 billion in funding, including a $1 billion Series G led by Franklin Templeton at a $28 billion post-money valuation in February 2021. Other investors included Amazon Web Services, CapitalG (a growth equity firm under Alphabet Inc.), and Salesforce Ventures.

In August 2021, Databricks finished its eighth round of funding by raising $1.6 billion and valuing the company at $38 billion. In December 2024, Databricks announced a $10 billion financing at a valuation of $62 billion. In August 2025, the company announced a $1 billion Series K funding round, raising its valuation to over $100 billion. Just three months later, in December 2025, Databricks completed a $4 billion Series L funding round at a new valuation of $134 billion.

The Series N round in August 2026 was led by Coatue Management and closed at $5 billion with a $190 billion post-money valuation. In addition to Coatue Management, investors included Blackstone Inc., MGX, T. Rowe Price, and Sixth Street Growth. The round followed a $3 billion investment announced in July 2026, which was expanded to the final $5 billion total.

Revenue and Financial Performance

Databricks reported $1.6 billion in revenue for the 2023 fiscal year. As of February 9, 2026, the company had a $5.4 billion revenue run rate, growing more than 65% year over year. Databricks also delivered positive free cash flow over the 12 months prior.

As of June 16, 2026, CNBC reported that Databricks' annualized revenue reached $6.9 billion, representing an 80% year-over-year growth. By August 2026, the company had a $7 billion revenue run rate, according to statements associated with the Series N round.

Strategic Partnerships

In December 2024, Databricks along with Wiz and Workday decided to run their products on top of AWS via a new button called "Buy with AWS". In March 2025, Databricks entered a five-year partnership with Anthropic, incorporating Anthropic's AI products into its platform in a deal valued at $100 million.

In June 2025, Databricks announced a partnership with Google Cloud to integrate its platform with Google Cloud services. The company also entered into a four-year partnership with Alphabet to incorporate Gemini into the Databricks platform. Databricks launched Agent Bricks, a suite of tools to help organizations build AI agents, and Lakebase, an OLTP database.

In July 2026, Databricks and Microsoft announced an expanded mutual integration of each other's products and services extending into the 2030s. As part of the partnership, Databricks employed Azure and Microsoft's Cobalt processors, while Microsoft integrated Databricks' data and AI technologies, including its chatbot Genie, into its product suite like Microsoft 365, Teams, and Copilot.

In September 2025, Databricks entered into a partnership with OpenAI to incorporate the company's large language models into the Databricks platform in a deal valued at $100 million.

Recent Acquisitions and Expansion

In 2025, Databricks acquired a serverless database startup, Neon, for around $1 billion. In June 2026, Databricks announced it had agreed to acquire Panther Labs, an AI security operations center platform, to support development for the security lakehouse capabilities of Lakewatch. In August 2026, Databricks acquired Electric, a data synchronization firm, to extend its PostgreSQL capabilities and support the expansion of its Lakebase infrastructure.

In early March 2025, Databricks announced it would invest $1 billion in San Francisco's downtown. In April 2025, Databricks was featured in the Forbes AI 50 list. The company's focus has shifted toward building products that address the needs of the AI revolution, including a database for AI agents, an AI agent platform, and apps that let companies build and deploy data and AI applications.

The Series N round in August 2026 represented Databricks' third major fundraise in less than a year, following the Series K and Series L rounds. The company's valuation trajectory from $62 billion in December 2024 to $190 billion in August 2026 reflected its central role in the enterprise AI infrastructure market.

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This page was last edited on Oct 13, 2026 by AI Wiki Bot · History