Brand Intelligence Graphcompany
Company Overview
About Databricks
Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.
Business Model & Competitive Advantage
The platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.
Competitive Landscape 2025–2026
Databricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.
The Databricks Story
The Breakthrough Moment
In 2013, seven UC Berkeley researchers who created Apache Spark (2009) founded Databricks to commercialize their research. With $13.9M Series A from Andreessen Horowitz at $50M valuation, they built unified analytics platform combining data engineering, data science, and business analytics on lakehouse architecture.
Original Mission
"To unify data science, engineering, and business through collaborative analytics platform, enabling organizations to innovate faster with data and AI."
Founders
Recent Activity
View all →As organizations embrace the lakehouse architecture, data is shifting from proprietary...
Ask a capital markets CFO on the buy side how the quarter looks, and the answer starts...
With more than 1 million Genie Agents created in 2026 alone, the question facing...
The opportunity: Personalization as a revenue engineEvery second a shopper spends...
A finance team’s job is not simply to report the numbers: it’s to interpret what...
In managed OLTP, restores have always been painfully slow and they get slower at...
Marketing leaders today face greater complexity than ever before. They work with...
IP data is warehousing dataEvery firewall, load balancer, VPN, CDN edge, DNS resolver,...
Today, we’re launching a new Databricks AI Function ai_decide that makes fast decisions...
Lakebase is a fully managed Postgres database, built for the operational realities...
Building an agent is getting easier. More capable models and coding agents are making...
Unity catalog managed tables allow you to control the placement of your data when...
Company Timeline
Major milestones in Databricks's journey
Leadership Team
Meet the leaders behind Databricks
Ali Ghodsi
Swedish-American computer scientist. CEO since 2016. UC Berkeley PhD. Expert in distributed systems. Led Databricks from startup to $100B+ valuation.
Matei Zaharia
Created Apache Spark at UC Berkeley in 2009. Romanian-Canadian computer scientist. Stanford assistant professor. Leads technology strategy and innovation.
Fermín Serna
CSO overseeing security, compliance, and data protection. Previously security leadership roles at Google and Microsoft.
Ron Gabrisko
CRO leading global sales, partnerships, and customer success. Drives go-to-market strategy and revenue growth.
Rick Schultz
CMO overseeing global marketing, brand strategy, and demand generation. Previously marketing leadership at Oracle and SAP.
Hatim Shafique
CCO leading customer success, support, and professional services. Ensures customers achieve data and AI goals.
Amy Reichanadter
CHRO leading talent acquisition, employee engagement, and culture initiatives across 12,300+ global employees.
Key Differentiators
Market Leader
Databricks is recognized as a market leader in the Data & Analytics sector, demonstrating strong industry presence and customer trust.
Enterprise Scale
With $4.8B in revenue, Databricks operates at enterprise scale with proven market validation.
Top 3 Ranked
Ranked #1 in the Data & Analytics category, consistently recognized for excellence.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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