# Database

**Canonical:** https://apis.io/providers/database/  
**Website:** https://apievangelist.com  
**APIs profiled:** 0

An index and topic collection covering managed databases and database-as-a-service offerings exposing APIs. Database APIs enable developers to provision, configure, query, migrate, and scale relational, document, key-value, wide-column, vector, graph, time-series, and analytical data stores through programmatic interfaces rather than through manual server administration. This collection includes managed PostgreSQL platforms like Neon, Supabase, and Render; MySQL platforms like PlanetScale and Vitess; document databases like MongoDB Atlas and Couchbase; key-value and wide-column stores like DynamoDB, Cassandra, and Aerospike; serverless databases like Fauna, Convex, and Cloudflare D1; vector databases like Pinecone, Weaviate, Qdrant, and Milvus; graph databases like Neo4j and Stardog; time-series databases like InfluxDB, TimescaleDB, and QuestDB; and analytical data warehouses like Snowflake, BigQuery, Redshift, Databricks, ClickHouse, and Firebolt.

## Kin Score — 9.6 / 100 (minimal)

Scored 2026-10-17 under rubric 0.24.0. Trend: flat (+0.1 from 9.5).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 14.7 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 4.9 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Use cases (8)

- **Serverless Application Backends** — Developers use serverless database APIs from Neon, Supabase, Fauna, Convex, and Cloudflare D1 to back serverless functions and edge applications without managing connection pool...
- **Database-per-Tenant Provisioning** — SaaS platforms use database provisioning APIs to spin up isolated database instances or branches per customer, providing strong tenant isolation and per-tenant backup, recovery,...
- **Retrieval-Augmented Generation (RAG)** — AI applications use vector database APIs from Pinecone, Weaviate, Qdrant, Milvus, and pgvector-backed services to index document embeddings and retrieve semantically relevant co...
- **Real-Time Analytics and Observability** — Time-series and columnar APIs from ClickHouse, InfluxDB, TimescaleDB, QuestDB, and Tinybird power real-time dashboards, observability platforms, and user-facing analytics on hig...
- **Data Warehouse Integration and ELT** — Analytics and data teams use APIs from Snowflake, BigQuery, Redshift, and Databricks to load data, run transformations, manage warehouses, and integrate with dbt, Fivetran, and ...
- **Schema Migrations in CI/CD** — Teams use deploy-request and migration APIs from PlanetScale, Neon, and Supabase to gate schema changes through pull requests, run them in branches, and apply them safely to pro...
- **Graph Workloads and Knowledge Graphs** — Applications use graph database APIs from Neo4j, Stardog, and Amazon Neptune to model relationships, run path and traversal queries, and back knowledge graphs and recommendation...
- **Edge and Mobile Data Sync** — Edge databases like Cloudflare D1, Convex, and Supabase expose APIs that synchronize state between edge runtimes, mobile clients, and central data stores with built-in conflict ...

## Tags

Database, Database-as-a-Service, Managed Database, SQL, NoSQL, Document Database, Graph Database, Vector Database, Time Series, Data Warehouse, Key-Value Store

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/database/). Scores are computed from the provider's own public artifacts under a published rubric.