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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Database the way a machine reads it — 31 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Database scores 9.5/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-10-03 · rubric v0.23.0
Put this on your own site. The badge is drawn live from Database's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/database/"
title="Database on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/database.svg"
alt="Database Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/database/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/database/"
title="Database on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/database/card.svg"
alt="Database Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Database
Each block below is one kind of artifact we hold for Database. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Features 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
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 within the panel for all 8 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Database Context
JSON-LDJSON Schema 2
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
DatabaseInstance
JSON SCHEMASchemaMigration
JSON SCHEMAJSON Structure 2
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Database Instance Structure
JSON STRUCTUREDatabase Schema Migration Structure
JSON STRUCTUREExamples 2
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Database Instance Example
EXAMPLEUse Cases 8
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
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 within the panel for all 8 ·
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
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 within the panel for all 8 ·
Resources
Every other property we hold for Database — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Build 1
SDKs, sample code, and the tooling you integrate with
← All providers · Data indexed from github.com/api-evangelist/database · machine-readable index on apis.io
This is an independent, third-party profile of Database, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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