Big Data
Providers using this tag (98)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Strong 8 Solid coverage with minor gaps
Developing 9 Usable, with meaningful gaps to close
Thin 25 Limited public surface area
Emerging 19 Early or largely undocumented
Minimal 25 Almost no public developer surface
APIs with this tag (16)
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
Developing 7 Usable, with meaningful gaps to close
Thin 4 Limited public surface area
Emerging 1 Early or largely undocumented
Minimal 1 Almost no public developer surface
Companies reaching this through an API (6)
These companies publish an API, specification or operation carrying “Big Data” 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 77 providers in the APIs.io catalog tagged Big Data, 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 | 34.5 | 23.2 | +11.3 | 77 |
| Contract Quality | 25.3 | 17.6 | +7.7 | 77 |
| Operational Transparency | 20.6 | 13.7 | +6.9 | 77 |
| Contract Governance | 12.1 | 6.3 | +5.8 | 77 |
| Discoverability | 59.2 | 58.1 | +1.1 | 77 |
| Access Clarity | 27 | 26.5 | +0.5 | 77 |
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) | 11% | 14% | -3 |
| MCP server (first-party) | 9% | 12% | -3 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 11% | 11% | 0 |
| Security | 90% | 98% | -8 |
| Arazzo workflows | 7% | 2% | +5 |
| Governance rules | 33% | 14% | +19 |
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 Treasure Data 76.2
- 2 Cloudera 70.3
- 3 Databricks 65.3
- 4 Azure Databricks 63.1
- 5 Azure Event Hubs 59.9
- 6 Google Cloud Dataflow 59.3
- 7 Azure Synapse Analytics 59.2
- 8 Amazon Redshift 58.8
- 9 Amazon EMR 55
- 10 Beaconstac 54.9
- 1 Beaconstac 53.8
- 2 Databricks 51.5
- 3 Treasure Data 48.8
- 4 SK Telecom 43.7
- 5 Azure Databricks 35.2
- 6 Ocient 34.9
- 7 Amazon Redshift 33.7
- 8 Google Cloud Dataflow 31.8
- 9 Apache Atlas 30.6
- 10 AWS Kinesis 29.8
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.