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Databricks
Simplify big data and AI — Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business
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
40 probes since Jun 11Observed events
probes · press · GitHub- Aug 13, 2026
- Jul 17, 2026
- Jun 11, 2026First probe — liveAlive · 200 OK
Funding history
8 roundsMoat
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
Press mentions
2 lifetime · 2 shownAug 13
Databricks wanted to raise $1B, investors wanted $15B. It settled on $5B at a $190B valuation.
Jul 17
Databricks hits $188B valuation, extending its run as AI’s favorite second act
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Weighted observed activity · updated Aug 26
2,435 products launched in 2018 · 100% still active