Status
Available
Last Round Valuation
$50 Billion
Share Price
$50.00
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Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Databricks empowers companies to capitalize on their data by developing open-source software for data processing and AI applications and offering paid versions with additional proprietary features for enterprises. Databricks addresses challenges such as complex legacy infrastructure, data silos, and high latency by implementing data lakes. These storage repositories ingest and maintain large amounts of raw data in native format, enabling on-demand access and analytics for deeper insights.
The Databricks Data Intelligence Platform empowers organizations to leverage data and AI across their entire operation. Built on a lakehouse architecture, it provides an open, unified foundation for data and governance, driven by a Data Intelligence Engine that adapts to the unique characteristics of each user’s data.
The core of the Databricks platform is its Lakehouse architecture, built on the open-source Apache Spark framework, enabling analytical queries on semi-structured data. The platform also supports open-source tools like Delta Lake and MLflow, with built-in security and governance through Unity Catalog to streamline large-scale data projects.
Databricks initially specialized in Apache Spark, enabling the querying of large, unstructured datasets stored in data lakes. Over time, the company has expanded its offerings to include products for related markets, such as AI lifecycle management and MLOps (MLflow), data warehousing (Delta Lake), and data visualization (Redash).
The Databricks Lakehouse Platform is a comprehensive suite of tools designed for building, deploying, sharing, and managing enterprise-grade data solutions at scale.
Databricks created Delta Sharing, the first open-source solution for seamless data sharing across analytics, AI, and data platforms.
Databricks Unity Catalog is a unique, unified, and open governance solution for data and AI, seamlessly integrated into the Databricks Data Intelligence Platform.
Databricks Mosaic AI offers a unified set of tools for building, deploying, evaluating, and governing AI and machine learning solutions, from predictive ML models to cutting-edge GenAI applications.
Databricks AI/BI is an advanced business intelligence solution designed to make analytics and insights accessible to everyone within an organization.
Delta Lake is an open-source storage layer that enhances data lakes with improved reliability, security, and performance.
Databricks SQL is an intelligent data warehouse powered by DatabricksIQ, the Data Intelligence Engine that adapts to the unique characteristics of data.
The Databricks Data Intelligence Platform streamlines data streaming, enabling real-time analytics, machine learning, and applications on a unified platform.
Databricks Data Intelligence Platform enables seamless ingestion and transformation of both batch and streaming data.
Databricks simplifies the entire data science workflow with a collaborative lakehouse environment, offering fast access to clean data, preconfigured compute resources, IDE integration, multi-language support, and advanced visualization tools for maximum flexibility and efficiency.
Databricks provides a pay-as-you-go pricing model with no upfront costs, using Databricks Units (DBUs) to measure and price processing power on its Lakehouse Platform. DBU consumption is determined by workload processing metrics, including the compute resources utilized and the volume of data processed.
In 2024, Databricks also completed a series of acquisitions in its most recent fiscal year, including the purchases of MosaicML, Arcion, Okera, Einblick, and Rubicon. These acquisitions, as well as Databricks' recently-announced investment in Mistral AI, have positioned the company as the platform to help enterprises take advantage of generative AI – securely and with their own proprietary data.
In March 2024, CEO Ali Ghodsi said, “We’re certainly ready as a company: The way we’re operating, the way we’re doing our audits, the way our financials are, the CFO, the board structure. So we’ll make a strategic decision whenever that time comes.”
In March 2024, Databricks announced that the Company has reached over $1.6 billion in revenue for its fiscal year ending January 31st, representing over 50% year-over-year growth, driven by rapid product innovation. In March 2024, the company told TechCrunch that in its most recent fiscal year, it had gross margins for its subscription products of more than 80%. The company disclosed that it has a “net expansion rate” of 140% in its most recent fiscal year.
In December 2024, according to Bloomberg, Databricks is raising $10 billion in new funding, at valuation of $62 billion. The company, “intends to invest this capital towards new AI products, acquisitions, and significant expansion of its international go-to-market operations,” according to a statement.
In December 2024, according to Bloomberg, nDatabricks anticipates surpassing $3 billion in annualized revenue for the fiscal year ending January 2025. In the most recent quarter, which concluded in October, sales grew by more than 60%. nDatabricks' product, Databricks SQL, has reached a $600 million revenue run rate, growing at over 150% annually. Additionally, more than 500 customers are on pace to spend over $1 million annually on the Databricks platform, according to the company.
Your access to private investment
Customers
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Key Investors
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Size of Market
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Market Position
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Industry
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Primary Vertical
Artificial Intelligence
Employees
500
Mosaic Score
840
Money
760
Momentum
850
Management
760
Market
960
What is a Mosaic Score?
| Name | Work History | Title | Status |
|---|---|---|---|
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
Last Round
Sept. 2019, Series B1
Valuation Post-Money
$400.2M
Amount Raised
$2.5M
Total Funds Raised
$75.2M
Implied Valuation
$84M
| Date | Round | Amount | Valuation | Investors |
|---|---|---|---|---|
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| Company | Valued | Revenue |
|---|---|---|
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
