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Products/Analytics/DatabricksQuietVC Report ↗
Databricks

Databricks

Simplify big data and AI — Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business

Analytics·Launched Feb 2018·0 upvotes·databricks.com
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ALIVEverified Jul 13, 2026 · HTTP 200
CohortClass of 2018

What it is

Simplify big data and AI — Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. [Artificial Intelligence, Tech]

HTTP liveness

23 probes since Jun 11
Jun 11Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)

Observed events

probes · press · GitHub
  1. Jun 11, 2026
    First probe — live
    Alive · 200 OK

Funding history

7 rounds
Total raised
$13.2B
Latest valuation
Stage
late
Series F
Jan 2025
investors undisclosed
$10.0B
SEC
Series E
Nov 2023
investors undisclosed
$1000.0M
SEC
Series D
Sep 2021
investors undisclosed
$1.6B
SEC
Series C
Nov 2019
investors undisclosed
$400.0M
SEC
Series B
Aug 2017
investors undisclosed
$140.0M
SEC
Series A
Jul 2014
investors undisclosed
$33.7M
SEC
Seed
Sep 2013
investors undisclosed
$15.0M
SEC
Data from SEC EDGAR Form D filings and press coverage. Round labels for SEC filings are inferred from filing sequence and amount.

Moat

None apparent

The product does not exhibit a clear durable moat; its value proposition is a unified analytics platform delivered as SaaS, but the dossier provides no evidence of network effects, proprietary data accumulation, brand premium, switching‑cost lock‑in, distinctive IP, privileged distribution, cost‑scale advantage, or regulatory barriers.

This assessment draws on the product description, which only outlines a mission and collaborative capabilities, and the tag set (collaborative, freemium, real‑time, AI‑assist, etc.) that describe functionality but not lock‑in. The dossier contains no mention of data‑centric accumulation, patents, or regulatory protection, and the comparable list (data.world, Postman Workspaces, Hevo Data, Cellfig, Dune Analytics) shows many similar analytics tools, indicating a competitive, crowded space. The web‑traffic rank of 3383 confirms visibility but not defensibility.

Without a moat, Databricks is vulnerable to rivals that can replicate its feature set. The crowded comparable set, lack of unique data or contractual lock‑in, and the absence of proprietary technology mean that improvements by competitors or price pressure could erode its position.

  • descriptionDatabricks is described as a SaaS unified analytics platform with collaborative features but no mention of network effects or lock‑in mechanisms
  • tagsTags include collaborative, freemium, real‑time, AI‑assist, but none indicate data accumulation, switching costs, or proprietary IP
  • descriptionNo explicit reference to proprietary data, patents, or regulatory barriers in the dossier
  • comparablesComparable products (data.world, Postman Workspaces, Hevo Data, Cellfig, Dune Analytics) share similar tags, indicating a crowded market without unique advantage
  • trafficWeb traffic rank 3383 shows high visibility but does not imply defensibility
0.45 confidence · grounded in 5 sources
Grounded analysis from catalog data, tags, comparables, and traffic · Jul 2026

Discussion 0 comments

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Pulse Indexobserved activity
492/4 signal families
Liveness40%
1.00
Press30%
no data
GitHub20%
no data
Tranco10%
0.94

Weighted observed activity · updated Jul 13

Founders
Matei Zaharia
Reynold Xin
Ion Stoica
Ali Ghodsi
Cohort survival · Class of 2018weekly

2,435 products launched in 2018 · 100% still active

2,425 active10 sunset
Still active
100%
Median lifespan
4.9y