Databricks

Private

Enterprise data and AI company providing a unified analytics platform built on Apache Spark for data engineering, machine learning, and business intelligence.

Databricksis private — you can’t buy shares. This map shows what you can buy that moves with it, and what moves against it, with dated evidence on every connection.

www.databricks.comUpdated 2026-07-17research currentmethodology 2026.07.2Relationship mapping, not a recommendation.

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Decisive takeaway

Strongest public comparable: Capital One Financial Corporation (COF) — strategic investor. Direct equity ownership via Capital One Ventures investment in Databricks Series I (2021) and Series J (2024); strategic partnership for financial services use cases including fraud detection and risk analytics on Databricks platform; customer relationship (COF uses Databricks for data engineering)

Top public-market relationships

The 3 strongest routes from the full map — free preview, evidence included.

Capital One Financial CorporationCOF · NYSE

Strategic investorstockPrice could riseEquity growthevidence agingsource 2024-02-01inference

22conn

What it captures: Direct equity ownership via Capital One Ventures investment in Databricks Series I (2021) and Series J (2024); strategic partnership for financial services use cases including fraud detection and risk analytics on Databricks platform; customer relationship (COF uses Databricks for data engineering)
What it misses: Ownership stake size undisclosed; marks-to-market based on Databricks private valuation changes ($43B Feb 2024); investment represents small fraction of COF portfolio; strategic value may exceed financial exposure

Materiality: medium · Confidence: high · Medium term (1–3 years)

View in IBKRverified 2026-07-17

Confluent, Inc.CFLT · NASDAQ

Infrastructure providerstockPrice could riseEquity growthevidence agingsource 2024-01-15

23conn

What it captures: Event streaming and real-time data pipelines feeding into Databricks lakehouse; common customers using Confluent (Kafka) for ingestion layer with Databricks for analytics; both commercialize Apache open-source projects with cloud-managed services.
What it misses: Confluent focuses on real-time streaming and event-driven architecture vs. Databricks' batch+streaming analytics; complementary rather than directly overlapping use cases.

Materiality: medium · Confidence: medium · Medium term (1–3 years)

View in IBKRverified 2026-07-17

Microsoft CorporationMSFT · NASDAQ

Infrastructure providerstockPrice could riseEquity growthevidence agingsource 2025-01-15inference

39conn

What it captures: Azure cloud platform revenue from Databricks' consumption of compute, storage, and networking services plus strategic partnership and equity investment relationship.
What it misses: Does not capture competition from Microsoft's own Azure Synapse Analytics and Fabric data platform products that directly compete with Databricks.

Materiality: high · Confidence: high · Medium term (1–3 years)

View in IBKRverified 2026-07-17

18 more relationships in the full map

5Advanced instruments
4Competitors and substitutes
3Diversified ETFs and exchange-traded products
3Suppliers and infrastructure providers
2Similar public companies
1Credit exposure

The full map also includes: full evidence and provenance on every route · 8 negative and hedge routes · 8 catalysts to watch · 8 what-breaks-the-thesis conditions · instrument comparisons and exports.

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Related companies and themes

These maps share public instruments with Databricks — useful for comparing exposure or spotting concentration.

Cohere12 shared Discord8 shared Anysphere8 shared Notion8 shared Runway7 shared xAI6 shared

Assumptions and limitations

Public-market exposure to a private company or theme is always indirect and partial.
Connection Scores measure relationship strength to the thesis — not expected return, quality, or a buy rating.
Directional labels describe possible economic transmission mechanisms ("may benefit if…") — they are not predictions or recommendations.
This page is impersonal research — it does not consider anyone's objectives or financial situation.

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