Database

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.

Database is profiled on the APIs.io network. Tagged areas include Database, Database-as-a-Service, Managed Database, SQL, and NoSQL.

The Database catalog on APIs.io includes 1 JSON-LD context.

Database’s developer surface includes developer portal and 1 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

9.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

0 APIs 8 Features 8 Use Cases

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

Kin Score

Kin Score How this is scored →
scored 2026-10-17 · rubric v0.24.0

Composite quality — 9.6/100 · minimal

Contract Quality 3.1 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.7 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/database: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Features 8

Notable capabilities this provider offers.

Programmatic Database Provisioning

Database APIs let teams create, configure, resize, and tear down database instances on demand without filing tickets or running infrastructure scripts, making databases first-cl...

Branching and Forking

Modern serverless database platforms like Neon, PlanetScale, and Supabase expose branching APIs that let developers create isolated copies of a production database for developme...

HTTP and SQL-over-HTTP Query Interfaces

Databases like Neon, Supabase, PlanetScale, and Cloudflare D1 expose SQL execution through HTTPS endpoints, enabling stateless query access from serverless functions and edge ru...

Vector Search and Embeddings

Vector databases like Pinecone, Weaviate, Qdrant, and Milvus expose APIs for storing high-dimensional embeddings and running nearest-neighbor similarity search, powering retriev...

Schema Migration and Versioning

Database platforms provide APIs for managing schema migrations, deploy requests, and zero-downtime schema changes, integrating database evolution into CI/CD pipelines.

Analytical Query and Warehouse APIs

Cloud data warehouses like Snowflake, BigQuery, Redshift, Databricks, and ClickHouse expose REST and SQL APIs for executing analytical queries, managing warehouses, and orchestr...

Multi-Region Replication and Edge Reads

Distributed and serverless databases expose APIs for configuring read replicas, regional failover, and edge-local reads, reducing latency for globally distributed applications.

Backups, Snapshots, and Point-in-Time Recovery

Managed database APIs provide programmatic control over backups, snapshots, restore points, and point-in-time recovery, treating data protection as code rather than a manual ope...

Scroll for all 8

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Database Context

5 classes · 27 properties

JSON-LD

JSON Schema 2

Standalone JSON Schema definitions for this provider's data models.

DatabaseInstance

16 properties

JSON SCHEMA

SchemaMigration

15 properties

JSON SCHEMA

JSON Structure 2

JSON Structure definitions describing this provider's data shapes.

Database Instance Structure

16 properties

JSON STRUCTURE

Database Schema Migration Structure

15 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Database Instance Example

16 fields

EXAMPLE

Database Schema Migration Example

15 fields

EXAMPLE

Use Cases 8

What developers build with this provider.

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 ...

Scroll for all 8

Integrations 8

Pre-built integrations with other platforms and tools.

Neon

Serverless PostgreSQL platform with branching, scale-to-zero compute, and an HTTP query endpoint designed for serverless and edge runtimes.

Supabase

Open-source PostgreSQL platform with auto-generated REST and GraphQL APIs, realtime subscriptions, auth, storage, and edge functions.

PlanetScale

Serverless MySQL platform built on Vitess with non-blocking schema changes, deploy requests, and branching for safe production database evolution.

MongoDB Atlas

Managed multi-cloud document database with Atlas Data API, Atlas Search, Atlas Vector Search, and a fully managed control plane API.

Snowflake

Cloud data warehouse with SQL API, REST control plane, and Snowpipe for streaming data ingestion across AWS, Azure, and GCP.

Pinecone

Managed vector database with REST and gRPC APIs for storing embeddings and running low-latency similarity search at scale.

Databricks

Lakehouse platform with REST APIs for SQL warehouses, jobs, Unity Catalog, model serving, and Delta Lake table management.

Fauna

Distributed document-relational serverless database with a unified HTTP API, FQL query language, and ACID transactions across regions.

Scroll for all 8

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Source (apis.yml)

aid: database
name: Database
description: 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.
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- Database
- Database-as-a-Service
- Managed Database
- SQL
- NoSQL
- Document Database
- Graph Database
- Vector Database
- Time Series
- Data Warehouse
- Key-Value Store
tags_raw:
- Database
- DBaaS
- Managed Database
- SQL
- NoSQL
- Document Database
- Graph Database
- Vector Database
- Time Series
- Data Warehouse
- Key-Value Store
url: https://raw.githubusercontent.com/api-evangelist/database/refs/heads/main/apis.yml
created: '2026-05-19'
modified: '2026-05-19'
specificationVersion: '0.19'
apis: []
network:
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- name: Amazon DynamoDB
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- name: Amazon Neptune
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- name: Amazon QLDB
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- name: Amazon Redshift
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- name: Amazon Timestream
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- name: Apache Cassandra
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- name: Apache CouchDB
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- name: Apache Druid
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- name: Apache HBase
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- name: Apache Pinot
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- name: Appwrite
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- name: Azure Cosmos DB
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- name: ClickHouse
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- name: CockroachDB
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- name: Convex
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- name: Couchbase
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- name: Databricks
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- name: Dragonfly
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- name: DuckDB
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- name: Elasticsearch
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- name: Fauna
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- name: Firebolt
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- name: Google BigQuery
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- name: Google Cloud Bigtable
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- name: Google Cloud Firestore
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- name: Google Cloud Spanner
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- name: Google Cloud SQL
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- name: IBM Db2
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- name: InfluxDB
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- name: Marqo
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- name: Materialize
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- name: Microsoft Azure PostgreSQL
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- name: Microsoft Azure SQL Database
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- name: Milvus
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- name: MongoDB Atlas
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- name: MotherDuck
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- name: Neo4j
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- name: Neon
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- name: Oracle Database
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- name: Pinecone
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- name: PlanetScale
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- name: PostgreSQL
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- name: Prisma
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- name: Qdrant
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- name: QuestDB
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- name: Render
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- name: RethinkDB
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- name: SAP HANA
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- name: SingleStore
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- name: Snowflake
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- name: Stardog
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- name: Supabase
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- name: TiDB
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- name: TimescaleDB
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- name: Tinybird
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- name: Upstash
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- name: Vespa
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- name: Vitess
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- name: Weaviate
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- name: YugabyteDB
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- name: Zilliz
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common:
- type: Portal
  url: https://apievangelist.com
- type: GitHubOrganization
  url: https://github.com/api-evangelist
- type: Features
  data:
  - name: Programmatic Database Provisioning
    description: Database APIs let teams create, configure, resize, and tear down database instances on demand without filing
      tickets or running infrastructure scripts, making databases first-class deployable resources.
  - name: Branching and Forking
    description: Modern serverless database platforms like Neon, PlanetScale, and Supabase expose branching APIs that let
      developers create isolated copies of a production database for development, testing, and pull request previews.
  - name: HTTP and SQL-over-HTTP Query Interfaces
    description: Databases like Neon, Supabase, PlanetScale, and Cloudflare D1 expose SQL execution through HTTPS endpoints,
      enabling stateless query access from serverless functions and edge runtimes without persistent TCP connections.
  - name: Vector Search and Embeddings
    description: Vector databases like Pinecone, Weaviate, Qdrant, and Milvus expose APIs for storing high-dimensional embeddings
      and running nearest-neighbor similarity search, powering retrieval-augmented generation and semantic search.
  - name: Schema Migration and Versioning
    description: Database platforms provide APIs for managing schema migrations, deploy requests, and zero-downtime schema
      changes, integrating database evolution into CI/CD pipelines.
  - name: Analytical Query and Warehouse APIs
    description: Cloud data warehouses like Snowflake, BigQuery, Redshift, Databricks, and ClickHouse expose REST and SQL
      APIs for executing analytical queries, managing warehouses, and orchestrating data pipelines at petabyte scale.
  - name: Multi-Region Replication and Edge Reads
    description: Distributed and serverless databases expose APIs for configuring read replicas, regional failover, and edge-local
      reads, reducing latency for globally distributed applications.
  - name: Backups, Snapshots, and Point-in-Time Recovery
    description: Managed database APIs provide programmatic control over backups, snapshots, restore points, and point-in-time
      recovery, treating data protection as code rather than a manual operations process.
- type: UseCases
  data:
  - name: Serverless Application Backends
    description: Developers use serverless database APIs from Neon, Supabase, Fauna, Convex, and Cloudflare D1 to back serverless
      functions and edge applications without managing connection pools or persistent infrastructure.
  - name: Database-per-Tenant Provisioning
    description: 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, and scaling.
  - name: Retrieval-Augmented Generation (RAG)
    description: AI applications use vector database APIs from Pinecone, Weaviate, Qdrant, Milvus, and pgvector-backed services
      to index document embeddings and retrieve semantically relevant context for LLM prompts.
  - name: Real-Time Analytics and Observability
    description: Time-series and columnar APIs from ClickHouse, InfluxDB, TimescaleDB, QuestDB, and Tinybird power real-time
      dashboards, observability platforms, and user-facing analytics on high-volume event streams.
  - name: Data Warehouse Integration and ELT
    description: 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 orchestration tooling.
  - name: Schema Migrations in CI/CD
    description: 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 production.
  - name: Graph Workloads and Knowledge Graphs
    description: 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 engines.
  - name: Edge and Mobile Data Sync
    description: 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 resolution.
- type: Integrations
  data:
  - name: Neon
    description: Serverless PostgreSQL platform with branching, scale-to-zero compute, and an HTTP query endpoint designed
      for serverless and edge runtimes.
  - name: Supabase
    description: Open-source PostgreSQL platform with auto-generated REST and GraphQL APIs, realtime subscriptions, auth,
      storage, and edge functions.
  - name: PlanetScale
    description: Serverless MySQL platform built on Vitess with non-blocking schema changes, deploy requests, and branching
      for safe production database evolution.
  - name: MongoDB Atlas
    description: Managed multi-cloud document database with Atlas Data API, Atlas Search, Atlas Vector Search, and a fully
      managed control plane API.
  - name: Snowflake
    description: Cloud data warehouse with SQL API, REST control plane, and Snowpipe for streaming data ingestion across AWS,
      Azure, and GCP.
  - name: Pinecone
    description: Managed vector database with REST and gRPC APIs for storing embeddings and running low-latency similarity
      search at scale.
  - name: Databricks
    description: Lakehouse platform with REST APIs for SQL warehouses, jobs, Unity Catalog, model serving, and Delta Lake
      table management.
  - name: Fauna
    description: Distributed document-relational serverless database with a unified HTTP API, FQL query language, and ACID
      transactions across regions.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
humanURL: https://apievangelist.com

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