Data AI moats

Data AI has a wide moat: an average moat of 76 out of 100, 3rd of 29 AI markets. 317 of its 391 rated products have a wide moat and 10 have none. Its products are strongest on switching costs, habit and retention and hard to copy.

Data updated · 391 products rated

The widest moats in DataCheck your product’s moat

Widemoat rating, 76 out of 100
3 of 29markets, by average moat
391products rated for moat
81%have a wide moat

Every rated product, by moat

Wide 81% (317)Narrow 16% (64)None 3% (10)

Moat profile

Each source on a 0 to 100 scale, averaged across the market and rated against the other AI markets. Threats count against the moat.

SwitchingRetentionHard to copyRegulationEcosystem

Dashed line: the average across all AI markets.

Moat sources

Switching costsHow much time, data and retraining a customer would lose by moving to a rival.Strong · 69
Habit and retentionHow deeply the product sits in a daily routine or workflow.Strong · 78
Hard to copyDifferentiation from rivals, and how few products are thin layers over a public model.Strong · 86
Regulatory barrierCompliance work (health, finance, legal, privacy rules) a new entrant must clear first.Moderate · 48
EcosystemShare of products with a public API and with ten or more integrations.Moderate · 61

Threats to the moat

Wrapper exposureShare of products whose core could be rebuilt on a public model in days.Low · 2
Platform dependencyHow much products rely on another company’s platform (a social network, a store, a search engine) to work.Some · 36

Widest moats in Data

Ranked by FalcoScan’s moat score, shown as bands, with the sources each product is strong on. Exact scores are on paid plans.

  1. 01Cube Metrics LayerUniversal semantic layer for BI and AIStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  2. 02dbt Semantic LayerDefine metrics once, use everywhereStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  3. 03Glean EnterpriseEnterprise AI search across all your appsStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  4. 04Apache Iceberg CloudOpen table format for massive analyticsStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  5. 05Databricks AIUnified analytics for data engineering, ML, and generative AIStrong on switching costs, habit and retention, hard to copyWide moat
  6. 06pgvector PostgresVector search extension for PostgreSQLStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  7. 07ChalkFeature store for real-time MLStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  8. 08DatafoldData quality and pipeline testing for analytics engineersStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat
  9. 09dbt CloudThe data transformation layer for modern analytics stacksStrong on switching costs, habit and retention, hard to copyWide moat
  10. 10MotherDuck Cloud DWServerless DuckDB in the cloudStrong on switching costs, habit and retention, hard to copy, ecosystemWide moat

Make one of these? Products rated a wide or narrow moat can show a live moat badge on their site. Get your badge →

Most exposed products

The products with the least protection and the full top 25 open with a free account. Exact moat scores and their inputs are on paid plans.

Questions

Does Data AI have a moat?

Data AI has a wide moat on FalcoScan, averaging 76 out of 100 across 391 rated products, against 62 across all AI markets. 81% of its products have a wide moat and 3% have none.

What protects Data AI products from competition?

Rated against other AI markets: switching costs strong, habit and retention strong, hard to copy strong, regulatory barrier moderate, ecosystem moderate. The main moat is switching costs.

Which Data AI tools have the widest moats?

Cube Metrics Layer, dbt Semantic Layer, Glean Enterprise lead Data on FalcoScan's moat rating. The ten widest are listed on this page; exact moat scores for every product are in FalcoScan plans, the API and the MCP server.

How does Data AI compare with other AI markets?

Data ranks 3rd of 29 AI markets by average moat, wider than 26 of them. The nearest markets are Healthcare (78) above it and Finance (76) below it.

What threatens moats in Data AI?

Wrapper exposure is low (2% of products could be rebuilt on a public model quickly) and platform dependency is some.

Cite and share

Quote a figure, link to the page or take the data for every market.

Citation

FalcoScan, “Data AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/data

BibTeX
@misc{falcoscan_moats_data_2026,
  author = {{FalcoScan}},
  title = {Data AI moats},
  year = {2026},
  month = oct,
  howpublished = {\url{https://falcoscan.com/moats/data}},
  note = {Data updated 9 October 2026}
}
Link for your site

<a href="https://falcoscan.com/moats/data">Data AI moat rating (FalcoScan)</a>

Market data

Every market’s moat rating, average, sources, threats and saturation, as a CSV or as Markdown with the method and definitions. Free to use with a citation.

MarkdownCSV

The figures refresh daily from the FalcoScan catalog. When you quote one, quote the date with it: .

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