Data Engineering
Providers using this tag (53)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 9 Solid coverage with minor gaps
Developing 10 Usable, with meaningful gaps to close
Thin 13 Limited public surface area
Emerging 11 Early or largely undocumented
Minimal 7 Almost no public developer surface
APIs with this tag (3)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 1 Complete, well-documented, and agent-ready
Strong 2 Solid coverage with minor gaps
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 53 providers in the APIs.io catalog tagged Data Engineering, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 43.9 | 23.2 | +20.7 | 53 |
| Access Clarity | 43 | 23.9 | +19.1 | 53 |
| Operational Transparency | 23.2 | 13 | +10.2 | 53 |
| Contract Quality | 23.5 | 17.2 | +6.3 | 53 |
| Contract Governance | 11.1 | 6.5 | +4.6 | 53 |
| Discoverability | 62.2 | 57.9 | +4.3 | 53 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 26% | 13% | +13 |
| MCP server (first-party) | 26% | 12% | +14 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 17% | 11% | +6 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 8% | 2% | +6 |
| Governance rules | 25% | 16% | +9 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Snowflake 81.2
- 2 Azure Data Factory 70.5
- 3 Cloudera 66.8
- 4 Databricks Asset Bundles 65
- 5 Nexla 64.3
- 6 Azure Databricks 57.9
- 7 Metaplane 57.7
- 8 Databricks 57.1
- 9 Tower 55.5
- 10 Lakekeeper 55.3
- 1 Databricks 58.3
- 2 Flume Health 50.4
- 3 Snowflake 45.8
- 4 Tower 43
- 5 Lakekeeper 42.7
- 6 Nexla 41.8
- 7 Azure Data Factory 35.5
- 8 Azure Databricks 33.5
- 9 TetraScience 29.5
- 10 API Calendrier Marocain | Jours Fériés & Ouvrables REST + SDK Python 29.1
Coverage caveat. 46 of 53 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 24 October 2026, across 31984 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.