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Databricks Stock (DATB)
Cloud-Based Big Data Processing Platform
Databricks is a software platform that aims to help its customers unify their analytics across the business, data science, and data engineering.
About Databricks Stock
Founded
2013
Headquarters
San Francisco, CA, US
Total Funding
14.8B
Industries
Software, Data and Analytics, Science and Engineering
Databricks is a software platform that aims to help its customers unify their analytics by managing, processing, and analyzing large-scale data efficiently. The company's platform offers customers a lakehouse architecture that combines the flexibility of data lakes with the performance and reliability of data warehouses, supporting diverse workloads like data engineering, real-time analytics, and machine learning. Databricks claims to allow costumers to use its platform for faster development and deployment of AI and analytics solutions.Â
Databricks Press Mentions
Stay in the know about the latest news on Databricks
ExlService, Databricks launch EXLdata.ai suite
thefly • Oct 07, 2025
From Raw Data to Insights in Minutes : Kumo AI Data Science Service
geeky-gadgets • Oct 07, 2025
SAP Debuts New AI-Powered Solutions And Data Platforms
benzinga • Oct 07, 2025
EXL unveils EXLdata.ai with launch partner Databricks: First-of-its-kind agentic AI-native suite of data solutions to solve enterprises’ biggest challenge in making data ready for AI
globenewswire • Oct 07, 2025
OpenAI dishes more details on its internal AI software tools, including a sales assistant and customer service agent
businessinsider • Oct 07, 2025
Investors in Databricks
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Databricks Management
Leadership team at Databricks
Chief Executive Officer
Ali Ghodsi
Chief Financial Officer
David Conte

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Databricks Key Facts
- Unprecedented Funding and Valuation: Databricks has signed a term sheet for a new Series K funding round that values the company at over $100 billion—making it one of only a few private companies globally to reach this milestone—and plans to use the capital to accelerate AI strategy, expand products like Agent Bricks and Lakebase, and drive global growth, reflecting strong investor confidence and substantial lead in the enterprise AI space.
- Explosive Revenue Growth and High Valuation: Databricks has demonstrated a powerful market position with a recent surge in financial performance. In September 2025, the company announced it had surpassed a $4 billion revenue run-rate, a growth of over 50% year-over-year. A significant portion of this growth is driven by its AI products, which now exceed a $1 billion revenue run-rate. This financial momentum, combined with a successful $1 billion Series K funding round at a valuation over $100 billion, solidifies Databricks' status as a market leader and a top contender for a future public offering.
- Strengthened Partnerships with Cloud and AI Giants: The company's favorable position is reinforced by its deepening alliances with major technology companies. In June 2025, Databricks and Microsoft announced a multi-year extension of their strategic partnership, ensuring that Azure Databricks remains a core service within the Microsoft ecosystem. Similarly, a partnership with Google Cloud embeds Gemini models natively into the Databricks platform. These collaborations with dominant cloud and AI providers underscore Databricks' integral role in the broader technology landscape and enhance its ability to deliver integrated solutions to a global clientele.
- Dependency on Cloud Partners: While Databricks benefits from partnerships with major cloud providers (AWS, Azure, GCP), it also faces risks associated with these dependencies. Changes in cloud providers' strategies, pricing models, or service levels could affect Databricks' ability to deliver its platform effectively. Additionally, if cloud providers choose to prioritize their own analytics and AI solutions, they may reduce support for Databricks, impacting its integration and market presence.
- Regulatory and Data Privacy Risks: As a provider of data analytics solutions, Databricks must navigate evolving regulatory frameworks and ensure robust data privacy and security measures to maintain customer trust and compliance.
- Intense Competition from Market Leaders: Databricks faces competition from established tech giants and emerging startups in the cloud and AI sectors. Continuous innovation, strong customer relationships, and ecosystem partnerships help mitigate competitive pressures.
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