Understand the company.
Model the opportunity.
Concise product-level research, competition, leadership, growth scenarios and deal economics for pre-IPO opportunities.
The Databricks demo is saved and costs no API usage. Simulator changes run locally.
Databricks
Products A · Growth A · Leadership A · Valuation C
Analyze your opportunity
Live AI extraction will plug into this confirmation flow.
Confirm opportunity terms
Live analysis connection point
Your confirmed terms are ready. V1 UI is working; the next integration connects server-side AI research and memo extraction to populate the same structured result used by the Databricks demo.
Databricks
Databricks provides a unified platform for enterprise data engineering, warehousing, governance, analytics and AI. Its strategy is to make governed enterprise data the foundation for BI, machine learning, agents and operational applications.
Products × competition × growth
| Product | Purpose | Competition | Position | Growth |
|---|---|---|---|---|
| Lakehouse / SQL | Data engineering & warehousing | Snowflake, BigQuery, Redshift | $1.5B+ warehousing run-rate reported | High |
| Mosaic AI | AI/ML & GenAI platform | Microsoft, AWS, Google, Snowflake | Benefits from data already on platform | Very high |
| Unity Catalog / Gateway | Data & AI governance | Cloud governance, Snowflake | Platform anchor across workloads | High |
| Lakebase | Operational database | Postgres ecosystem, cloud DBs | $100M+ run-rate reported | Very high |
| Genie / AI-BI | Natural-language analytics | Power BI, Tableau, Looker | Distribution via governed data | High |
Growth pipeline
Core lakehouse expansion High confidence
Enterprise AI production High potential
Lakebase Emerging
Genie / AI-BI Emerging
Asia expansion Accelerating
Leadership · A
Ali Ghodsi — CEO & co-founder
Apache Spark co-creator; CEO since 2016; led international expansion and multi-billion-dollar scale.
Matei Zaharia — co-founder & CTO
Creator of Apache Spark and MLflow; deep data/ML infrastructure credibility.
Company growth outlook
Databricks reported $7B+ annualized revenue run-rate and 80%+ Q2 YoY growth in Aug 2026. These are illustrative prototype scenarios, not company guidance.
Company evaluation
Interactive valuation simulator
Illustrative scenario. Simplified fee/carry treatment; actual deal waterfalls can differ.
Key positives
- Large, rapidly growing enterprise base
- Unified data + AI cross-sell
- Multiple new growth engines
- Founder-led technical team
- Adjusted cash-flow positive
Key risks
- $190B valuation embeds major growth
- Snowflake and hyperscaler competition
- AI economics may compress
- Broader product scope raises execution risk
- Private financial disclosure remains limited
Evidence
Demo facts use Databricks disclosures and Reuters reporting from Aug–Sep 2026. Databricks reported a $190B valuation, $7B+ annualized revenue run-rate, 80%+ Q2 growth, adjusted cash-flow positivity, Lakebase above $100M run-rate and warehousing above $1.5B run-rate.