Data Engineering
Providers using this tag (51)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Strong 9 Solid coverage with minor gaps
Developing 12 Usable, with meaningful gaps to close
Thin 12 Limited public surface area
Emerging 10 Early or largely undocumented
Minimal 6 Almost no public developer surface
Unrated 1 Not yet scored
APIs with this tag (5)
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 3 Solid coverage with minor gaps
Emerging 1 Early or largely undocumented
Companies reaching this through an API (1)
These companies publish an API, specification or operation carrying “Data Engineering” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 50 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 | 45.8 | 23.4 | +22.4 | 50 |
| Access Clarity | 42.5 | 26.5 | +16 | 50 |
| Operational Transparency | 23.9 | 14 | +9.9 | 50 |
| Contract Quality | 28.4 | 19.8 | +8.6 | 50 |
| Contract Governance | 14.1 | 6.4 | +7.7 | 50 |
| Discoverability | 64.7 | 61.2 | +3.5 | 50 |
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) | 31% | 10% | +21 |
| MCP server (first-party) | 29% | 13% | +16 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 18% | 11% | +7 |
| Security | 98% | 97% | +1 |
| Arazzo workflows | 8% | 2% | +6 |
| Governance rules | 22% | 14% | +8 |
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 Cloudera 64.9
- 3 Nexla 64.1
- 4 Databricks Asset Bundles 63.7
- 5 Azure Databricks 63.4
- 6 Dagster 60.6
- 7 Metaplane 59.4
- 8 Databricks 58.3
- 9 Lakekeeper 54.6
- 10 Tower 54.3
- 1 Snowflake 45.6
- 2 Tower 43.3
- 3 Nexla 43.1
- 4 Lakekeeper 42.6
- 5 Databricks 40.1
- 6 Azure Databricks 35.2
- 7 Flume Health 35
- 8 Cloudera 32
- 9 Infoworks 31.4
- 10 API Calendrier Marocain | Jours Fériés & Ouvrables REST + SDK Python 31
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.