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Databricks, Inc. · Data Infrastructure · United States

Pre-IPOAdvancedDecacornSecondary market
Latest valuation
$0
Dec 1, 2025
ARR
$0
unprofitable
Total raised
$0
2 rounds
36
IPO readiness
2026

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Overview

Databricks provides a unified data and AI platform built around the lakehouse architecture, helping organizations store, govern and analyze data and build AI applications.

Databricks operates in Data Infrastructure, headquartered in United States, and is currently classified as pre-ipo. It is a maturing business founded in 2013 and today runs a global-scale workforce of roughly 7.50K people. Private market participants most recently referenced the business at approximately $134B. Its product surface spans Lakehouse Platform, Unity Catalog, Mosaic AI, Delta Lake. The company monetizes primarily through consumption-based pricing on a data and ai platform.

Lakehouse PlatformUnity CatalogMosaic AIDelta Lake

Company facts

Founded
2013
Headquarters
San Francisco, USA
Employees
7,500
CEO
Ali Ghodsi
Model
consumption-based pricing on a data and AI platform

Valuation trajectory

How private-market marks have moved over time.

Implied valuation$62B
Sep 1, 2023Dec 17, 2024

Funding history

Every disclosed round, lead and post-money mark.

RoundDateAmountPost-money
Series LDec 1, 2025$5B$134B
Series JDec 17, 2024$10B$62B

Investor network

The institutions backing the company, by conviction.

Thrive CapitalAndreessen HorowitzDST GlobalGICTiger GlobalInsight PartnersWellingtonD

Path to public markets

IPO readiness is assessed at roughly 36% on our internal scale, reflecting scale, financial maturity and observed pre-listing signals. If current momentum holds, a listing could plausibly land around 2026 on the NASDAQ. Stronger, audited financial disclosure would be the clearest step toward genuine IPO readiness.

IPO parameters

Readiness
advanced
Filing status
none
Exchange
NASDAQ
Proposed ticker
Expected
2026
Lock-up

The investment case

The core thesis on Databricks rests on its position within Data Infrastructure, validated by backing from Thrive Capital, Andreessen Horowitz, DST Global, having raised on the order of $19B to date. Reported revenue near $3.70B (ARR around $3.70B) suggests the model has moved beyond early product-market fit into durable commercial traction. The business is still investing ahead of profitability, so the thesis depends on continued access to growth capital.

Bull case

Bull case: Databricks compounds its lead in Data Infrastructure, converts strong product engagement into expanding, high-margin revenue, and uses brand and balance-sheet strength to enter adjacent markets. Continued private financing at rising marks would reward existing holders while the business matures toward an eventual exit.

Bear case

Bear case: growth normalizes faster than expected, competition compresses margins, and a tighter funding environment forces dilutive raises or down-rounds. In that scenario, secondary prices drift below prior marks and any IPO is delayed until conditions improve.

Growth drivers

Growth is driven by demand within Data Infrastructure, particularly across Lakehouse Platform, Unity Catalog, Mosaic AI, Delta Lake. Expansion levers include new product lines, geographic reach, and deeper monetization of the existing customer base. Recurring revenue characteristics, where present, improve predictability and support a premium valuation multiple.

Key risks

Key risks include competitive pressure from peers such as Snowflake, Microsoft, Google. A reliance on external financing exposes the company to shifts in private-market sentiment and the cost of capital. Private valuations can also lag public re-ratings, so a future listing or secondary transaction could reprice the business in either direction. As with any private company, disclosure is limited and figures shown here should be treated as estimates pending primary filings.

Competitive landscape

Databricks competes against Snowflake, Microsoft, Google. Differentiation typically comes from product depth, distribution, switching costs, and the strength of its investor and talent base. The category is dynamic, and relative positioning can shift quickly as capital and attention rotate.

Filings & sources

Data quality

Compiled from 3 sourced data points with an aggregate confidence of 80%. Public-company financials are pulled from SEC EDGAR; private valuations are the most recent publicly reported figures.

Last reviewed Jul 26, 2026. Verify against primary filings before relying on these figures.