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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
21.1B
Industries
Hardware, Software, Data and Analytics
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.
Databricks Press Mentions
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资本即产能：2026年前三季度，美国头部100家VC与CVC的钱去哪了？
panewslab • Oct 20, 2026
Family offices poured $68.3B into AI and RIA deals in Q3 2026
investmentnews • Oct 17, 2026
Pricefx Announces Partnership with Databricks to Bring AI-Powered Pricing Intelligence to the Databricks Data + AI Platform
salestechstar • Oct 17, 2026
对话任博冰：我们可能是给carry最激进的机构
chinaventure • Oct 17, 2026
A-Team Group Announces Winners of Its AI in Capital Markets Awards 2026
pr • Oct 17, 2026
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
- Valuation Surge via Strategic Capital Infusion: In August 2026, Databricks announced a $5 billion strategic funding round led by Coatue Management, claiming a valuation of $190 billion. This marks a premium over its $134 billion valuation from a separate financing round closed in early 2026. The commitment of top-tier institutional capital underscores confidence in Databricks' future growth prospects.
- Accelerated Revenue Expansion and Enterprise Adoption: Databricks announced in August 2026 that its revenue run rate reached $7 billion, representing a significant 80% year-over-year growth trajectory. This marks an acceleration from the 65% growth rate reported earlier in the year, driven by its dedicated AI products reaching a $1.7 billion revenue baseline. Enterprise metrics remain healthy with a reported net revenue retention rate sustained above 140%, supported by an expanding footprint of corporate clients globally.
- Ecosystem Evolution into Agentic AI and Cost Governance: Shifting enterprise software expectations from simple model-building to production readiness, Databricks launched Genie One, Unity AI Gateway, and Lakebase to establish "systems of context" for autonomous AI agents. These infrastructure layers directly address Chief Information Officers' core pain points regarding governance, security, and multi-model cost control, aiming to transform the company from a passive data repository into an essential processing tier for scalable corporate AI.
- Inflated Private Valuations Heighten Down-Round Risks: In August 2026, Databricks announced a $5 billion strategic funding round led by Coatue Management, claiming a valuation of $190 billion. While this private-market multiple underscores massive capital injection into the AI economy, it outstrips its primary public competitor, Snowflake, whose market capitalization sits near $110 billion. Because CEO Ali Ghodsi has officially cited 2026 as a "terrible" year to list due to mega-IPOs like SpaceX, OpenAI, and Anthropic soaking up institutional budgets, Databricks faces steep pricing discount risks; any future public listing that opens below this high private watermark may be framed as a down-round, regardless of top-line revenue growth.
- Gross Margin Compression from Generative AI Workloads: Despite accelerating its revenue run rate to $7 billion as of August 2026, Databricks has reportedly experienced operational friction as its gross margins have fallen from above 80% down to 74%. According to CEO Ali Ghodsi, this degradation is driven by autonomous AI agents that generate rapid, continuous data queries rather than static human usage.
- Operational Strain and Bandwidth Risks: To offset core compute margin erosion and secure a higher-margin buffer, Databricks is aggressively moving up the value chain by natively embedding its own multi-AI governance solutions like Unity AI Gateway alongside its AI coworker, Genie. However, scaling this massive product diversification, which attempts to bundle model governance and serverless databases into complex environments, demands highly specialized engineering resources and dedicated enterprise sales motions. Diverting resources into expanding these new product layers risks depressing operating margins further.
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