Software / COMPANY INTELLIGENCE
Databricks
Provides a data and AI platform combining data engineering, analytics, governance, databases, and tools for building AI applications.
01 / THE BUSINESS
How Databricks creates value.
An enterprise data platform sells computing and software for analytics, governance and AI. Existing data workflows may support expansion, but cloud competition and consumption economics remain central.
02 / PEOPLE BEHIND THE COMPANY
Meet the builders.
Co-founder
Ali Ghodsi
Ali Ghodsi is a co-founder of Databricks. A distributed-systems researcher and member of Databricks’ founding team. The business grew from open-source data technology into an enterprise platform.
Explore founder
Co-founder
Matei Zaharia
Matei Zaharia is a co-founder of Databricks. Created Apache Spark, one of the technologies behind the company’s origins.
Explore founder
Co-founder
Reynold Xin
Reynold Xin is a co-founder of Databricks. The company’s founding and leadership material provides context for its work in data & ai platforms.
Explore founderSelected founders; historical founding roles are distinct from current management positions.
03 / CAPITAL & OWNERSHIP
Follow the financing.
Selected disclosed events, newest first. Announcement values describe that transaction and date; they are not current share prices. Debt, equity and secondary transactions are identified separately.
A financing figure is not established here.
Use the original company sources below to check new announcements. We have not substituted an estimate for a disclosed round.
04 / IN THEIR OWN WORDS
Watch. Listen. Form your view.
Databricks
Databricks — official video channel
Product demonstrations, company presentations and original updates, linked from the company’s own website.
Visit original material ↗Interviews reflect the speaker’s perspective at publication. Company statements are not independent verification.
05 / EDITORIAL ANALYSIS
The opportunity. The open questions.
Our interpretation of the business model and cited sources, not a valuation or a recommendation.
The case to investigate
- The convergence of enterprise data infrastructure and generative AI deployment.
- A stronger product position becomes economically meaningful when customers renew, expand and pay enough to cover delivery costs.
Pressure-test the thesis
- Cloud-platform competition.
- Complex deployments.
- Private-market pricing.
What to watch next
Net retention and workload growth — what changed in the latest original disclosure?
AI product adoption — what changed in the latest original disclosure?
Large-enterprise expansion — what changed in the latest original disclosure?
YOUR RESEARCH WORKSPACE
Keep the questions that matter.
Use this checklist to record what you have investigated. Your notes stay in this browser.
06 / RESEARCH TRAIL
Go straight to the source.
Company logo: original brand source. Trademarks identify their respective companies.
Research checked Sep 18, 2026. Selected public disclosures, not a complete capitalization table or securities-filing search. Missing information is left unconfirmed. No investment availability or IPO date is implied.
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