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Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Total Funding
$32.1B
Above
Industry Average
Funded Over
15 Rounds
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
A new PitchBook report argues that Databricks' $190 billion valuation is too steep, estimating the company's actual operating value at around $68.7 billion — a 64% discount. Senior analyst Harrison Rolfes projected Databricks' revenue and cash flow over 10 years, forecasting the company will generate $9.3 billion annually by 2035. Even under the most optimistic scenario, assuming 80% gross margins and continued growth, the analysis values Databricks at only $182.1 billion. In August, Databricks raised $5 billion at the $190 billion valuation, led by Coatue. The company's annualised run rate increased 29.6% to $7 billion over six months. Databricks trades at 27 times its run rate, compared to competitor Snowflake's 20 times multiple. Whilst Databricks grows faster, Snowflake's audited figures provide more transparency than Databricks' self-reported numbers.
ASX-listed AI Private Opportunities Trust has acquired a position in Databricks, allocating approximately 8% of its portfolio to the US data and AI company. San Francisco-based Databricks raised $5 billion in August 2024 at a $190 billion valuation. The platform serves over 70% of Fortune 500 companies and more than 20,000 organisations worldwide. Databricks crossed a $7 billion revenue run rate in its most recent quarter, growing over 80% year-on-year whilst maintaining positive free cash flow. This investment follows AIX's deployment of over one-third of its portfolio across positions including ByteDance, Helsing, and Handshake. The trust aims to provide Australian investors access to private AI market leaders typically limited to institutional investors. GCM Grosvenor manages the trust's investments and is in advanced discussions to close several additional positions.
Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.
The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.
Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
Find jobs on Simplify and start your career today