Big Data
Providers using this tag (103)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 10 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 6 Usable, with meaningful gaps to close
Thin 23 Limited public surface area
Emerging 18 Early or largely undocumented
Minimal 30 Almost no public developer surface
APIs with this tag (15)
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 2 Complete, well-documented, and agent-ready
Strong 2 Solid coverage with minor gaps
Developing 7 Usable, with meaningful gaps to close
Thin 2 Limited public surface area
Emerging 1 Early or largely undocumented
Minimal 1 Almost no public developer surface
Companies reaching this through an API (5)
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 81 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 | 35.9 | 24.5 | +11.4 | 81 |
| Operational Transparency | 24.5 | 13.2 | +11.3 | 81 |
| Contract Quality | 25 | 18.6 | +6.4 | 81 |
| Contract Governance | 13.9 | 9.7 | +4.2 | 81 |
| Discoverability | 61.2 | 59.1 | +2.1 | 81 |
| Access Clarity | 29.5 | 30 | -0.5 | 81 |
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) | 19% | 18% | +1 |
| MCP server (first-party) | 18% | 16% | +2 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 12% | 13% | -1 |
| Security | 90% | 99% | -9 |
| Arazzo workflows | 7% | 1% | +6 |
| Governance rules | 45% | 36% | +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 Amazon Redshift 75.1
- 2 Amazon Managed Service for Apache Flink 75
- 3 Google Cloud Dataflow 74.3
- 4 Treasure Data 72.4
- 5 Amazon EMR 71.9
- 6 Azure Databricks 71.6
- 7 AWS Kinesis 70.7
- 8 Google Cloud Dataproc 70.4
- 9 Azure Event Hubs 68.4
- 10 Cloudera 68
- 1 Databricks 58.9
- 2 Beaconstac 53.8
- 3 Treasure Data 49.9
- 4 AWS Kinesis 45.6
- 5 Amazon Redshift 45.5
- 6 SK Telecom 43.4
- 7 Google Cloud Dataflow 41.6
- 8 Google BigQuery 41.2
- 9 Amazon Managed Service for Apache Flink 37.8
- 10 Google Cloud Dataproc 36.5
Coverage caveat. 54 of 81 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 14 November 2026, across 41591 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.