Amazon Aurora DSQL website screenshot

Amazon Aurora DSQL

Amazon Aurora DSQL is a distributed SQL database service optimized for transactional workloads. It provides a serverless, fully managed PostgreSQL-compatible database with built-in high availability, scalability, and global distribution capabilities.

Amazon Aurora DSQL publishes 2 APIs on the APIs.io network: Clusters API and Multi-Region Clusters API. Tagged areas include Amazon Aurora DSQL, Distributed SQL, PostgreSQL, and Serverless.

The Amazon Aurora DSQL catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amazon Aurora DSQL’s developer surface includes authentication and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub
38.6/100 thin ▬ flat Agent 47/100 agent ready Full breakdown ↓
scored 2026-08-12 · rubric v0.11.0
AccessSelf serve
2 APIs 1 MCP Servers 10 Features 6 Use Cases
Amazon Aurora DSQLDistributed SQLPostgreSQLServerless

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-12 · rubric v0.11.0
Composite quality — 38.6/100 · thin
Contract Quality 18.5 / 25
Developer Ergonomics 3.9 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 8.4 / 12
Discoverability 7.8 / 10
Agent readiness — 47/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 3 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/amazon-aurora-dsql: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon Aurora DSQL Clusters API

Operations for creating and managing Aurora DSQL clusters

Amazon Aurora DSQL Multi-Region Clusters API

Operations for managing multi-region cluster configurations

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

amazon-aurora-dsql-mcp.yml

MCP SERVER

Features 10

Notable capabilities this provider offers.

Serverless PostgreSQL-compatible distributed SQL database
Automatic scaling with no database instances to manage
Multi-region active-active replication for global distribution
Built-in high availability with automatic failover
Pay-per-use pricing based on I/O and storage
Standard PostgreSQL client compatibility
Transactional consistency across distributed nodes
Integrated with AWS IAM for authentication
Automatic software patching and maintenance
Point-in-time recovery with continuous backups

Scroll for all 10

Semantic Vocabularies 1

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

Amazon Aurora Dsql Context

4 classes · 0 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon Aurora DSQL API Rules

4 rules · 3 warnings 1 info

SPECTRAL

Amazon Aurora DSQL API Rules

17 rules · 6 errors 9 warnings 2 info

SPECTRAL

JSON Schema 19

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

ClusterStatus

0 properties

JSON SCHEMA

ClusterSummary

0 properties

JSON SCHEMA

CreateClusterInput

0 properties

JSON SCHEMA

CreateClusterOutput

0 properties

JSON SCHEMA

CreateMultiRegionClustersInput

0 properties

JSON SCHEMA

CreateMultiRegionClustersOutput

0 properties

JSON SCHEMA

DeleteClusterOutput

0 properties

JSON SCHEMA

DeleteMultiRegionClustersInput

0 properties

JSON SCHEMA

DeleteMultiRegionClustersOutput

0 properties

JSON SCHEMA

GetClusterEndpointOutput

0 properties

JSON SCHEMA

GetClusterOutput

0 properties

JSON SCHEMA

LinkedClusterProperties

0 properties

JSON SCHEMA

ListClustersOutput

0 properties

JSON SCHEMA

ListTagsForResourceOutput

0 properties

JSON SCHEMA

TagResourceInput

0 properties

JSON SCHEMA

TagResourceOutput

0 properties

JSON SCHEMA

UntagResourceOutput

0 properties

JSON SCHEMA

UpdateClusterInput

0 properties

JSON SCHEMA

UpdateClusterOutput

0 properties

JSON SCHEMA

Scroll for all 19

JSON Structure 19

JSON Structure definitions describing this provider's data shapes.

Aurora Dsql Cluster Status Structure

0 properties

JSON STRUCTURE

Aurora Dsql Cluster Summary Structure

0 properties

JSON STRUCTURE

Aurora Dsql Create Cluster Input Structure

0 properties

JSON STRUCTURE

Aurora Dsql Create Cluster Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Create Multi Region Clusters Input Structure

0 properties

JSON STRUCTURE

Aurora Dsql Create Multi Region Clusters Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Delete Cluster Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Delete Multi Region Clusters Input Structure

0 properties

JSON STRUCTURE

Aurora Dsql Delete Multi Region Clusters Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Get Cluster Endpoint Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Get Cluster Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Linked Cluster Properties Structure

0 properties

JSON STRUCTURE

Aurora Dsql List Clusters Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql List Tags For Resource Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Tag Resource Input Structure

0 properties

JSON STRUCTURE

Aurora Dsql Tag Resource Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Untag Resource Output Structure

0 properties

JSON STRUCTURE

Aurora Dsql Update Cluster Input Structure

0 properties

JSON STRUCTURE

Aurora Dsql Update Cluster Output Structure

0 properties

JSON STRUCTURE

Scroll for all 19

Examples 19

Example request and response payloads for these APIs.

Aurora Dsql Cluster Status Example

3 fields

EXAMPLE

Aurora Dsql Cluster Summary Example

3 fields

EXAMPLE

Aurora Dsql Create Cluster Input Example

3 fields

EXAMPLE

Aurora Dsql Create Cluster Output Example

3 fields

EXAMPLE

Aurora Dsql Create Multi Region Clusters Input Example

3 fields

EXAMPLE

Aurora Dsql Create Multi Region Clusters Output Example

3 fields

EXAMPLE

Aurora Dsql Delete Cluster Output Example

3 fields

EXAMPLE

Aurora Dsql Delete Multi Region Clusters Input Example

3 fields

EXAMPLE

Aurora Dsql Delete Multi Region Clusters Output Example

3 fields

EXAMPLE

Aurora Dsql Get Cluster Endpoint Output Example

3 fields

EXAMPLE

Aurora Dsql Get Cluster Output Example

3 fields

EXAMPLE

Aurora Dsql Linked Cluster Properties Example

3 fields

EXAMPLE

Aurora Dsql List Clusters Output Example

3 fields

EXAMPLE

Aurora Dsql List Tags For Resource Output Example

3 fields

EXAMPLE

Aurora Dsql Tag Resource Input Example

3 fields

EXAMPLE

Aurora Dsql Tag Resource Output Example

3 fields

EXAMPLE

Aurora Dsql Untag Resource Output Example

3 fields

EXAMPLE

Aurora Dsql Update Cluster Input Example

3 fields

EXAMPLE

Aurora Dsql Update Cluster Output Example

3 fields

EXAMPLE

Scroll for all 19

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amazon Aurora Dsql Authentication

apiKey · 1 scheme

SECURITY

Amazon Aurora Dsql Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Aurora Dsql Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Amazon Aurora Dsql Agentic Access

11 operations · 7 acting

11 operations · 7 acting

AGENTIC

Use Cases 6

What developers build with this provider.

Build globally distributed transactional applications
Run PostgreSQL workloads without managing instances
Deploy active-active multi-region database architectures
Migrate PostgreSQL applications to serverless infrastructure
Build applications requiring strong consistency at global scale
Implement high-throughput transactional microservices

Integrations 10

Pre-built integrations with other platforms and tools.

Amazon VPC
AWS IAM
Amazon CloudWatch
AWS CloudTrail
Amazon RDS
AWS KMS
Amazon Route 53
AWS PrivateLink
Amazon S3
AWS Secrets Manager

Scroll for all 10

Resources

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 AgenticAccess
AgenticAccess
 WellKnown
WellKnown

Access & Security 4

Authentication, authorization, and security posture

VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity
 Authentication
Authentication
 SecurityTxt
SecurityTxt

Other 1

Properties that don't map to a standard resource type

Overlay
Overlay

Source (apis.yml)

apis.yml Raw ↑ 
aid: amazon-aurora-dsql
name: Amazon Aurora DSQL
description: Amazon Aurora DSQL is a distributed SQL database service optimized for transactional workloads. It provides a
  serverless, fully managed PostgreSQL-compatible database with built-in high availability, scalability, and global distribution
  capabilities.
type: Index
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amazon-aurora-dsql.png
tags:
- Amazon Aurora DSQL
- Distributed SQL
- PostgreSQL
- Serverless
- AWS
url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- aid: amazon-aurora-dsql:amazon-aurora-dsql-clusters-api
  name: Amazon Aurora DSQL Clusters API
  description: Operations for creating and managing Aurora DSQL clusters
  humanURL: https://docs.aws.amazon.com/aurora-dsql/latest/userguide/getting-started.html
  baseURL: https://dsql.us-east-1.amazonaws.com
  tags:
  - Clusters
  properties:
  - type: OpenAPI
    url: openapi/amazon-aurora-dsql-clusters-api-openapi.yml
  - type: SpectralRules
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/rules/amazon-aurora-dsql-spectral-rules.yml
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/vocabulary/amazon-aurora-dsql-vocabulary.yaml
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-schema/aurora-dsql-cluster-summary-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-schema/aurora-dsql-create-cluster-input-schema.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-structure/aurora-dsql-cluster-summary-structure.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-structure/aurora-dsql-get-cluster-output-structure.json
  - type: JSONLD
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-ld/amazon-aurora-dsql-context.jsonld
  - type: Example
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/examples/aurora-dsql-create-cluster-input-example.json
  - type: Example
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/examples/aurora-dsql-get-cluster-output-example.json
  - type: Packages
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/packages/amazon-aurora-dsql-packages.yml
  - type: LLMsTxt
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/llms/amazon-aurora-dsql-llms.txt
  - type: Conformance
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/conformance/amazon-aurora-dsql-conformance.yml
  - type: ErrorCatalog
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/errors/amazon-aurora-dsql-problem-types.yml
  - type: Lifecycle
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/lifecycle/amazon-aurora-dsql-lifecycle.yml
- aid: amazon-aurora-dsql:amazon-aurora-dsql-multi-region-clusters-api
  name: Amazon Aurora DSQL Multi-Region Clusters API
  description: Operations for managing multi-region cluster configurations
  humanURL: https://docs.aws.amazon.com/aurora-dsql/latest/userguide/getting-started.html
  baseURL: https://dsql.us-east-1.amazonaws.com
  tags:
  - Multi-Region Clusters
  properties:
  - type: OpenAPI
    url: openapi/amazon-aurora-dsql-multi-region-clusters-api-openapi.yml
  - type: SpectralRules
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/rules/amazon-aurora-dsql-spectral-rules.yml
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/vocabulary/amazon-aurora-dsql-vocabulary.yaml
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-schema/aurora-dsql-cluster-summary-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-schema/aurora-dsql-create-cluster-input-schema.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-structure/aurora-dsql-cluster-summary-structure.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-structure/aurora-dsql-get-cluster-output-structure.json
  - type: JSONLD
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/json-ld/amazon-aurora-dsql-context.jsonld
  - type: Example
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/examples/aurora-dsql-create-cluster-input-example.json
  - type: Example
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/examples/aurora-dsql-get-cluster-output-example.json
  - type: Packages
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/packages/amazon-aurora-dsql-packages.yml
  - type: LLMsTxt
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/llms/amazon-aurora-dsql-llms.txt
  - type: Conformance
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/conformance/amazon-aurora-dsql-conformance.yml
  - type: ErrorCatalog
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/errors/amazon-aurora-dsql-problem-types.yml
  - type: Lifecycle
    url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/lifecycle/amazon-aurora-dsql-lifecycle.yml
common:
- type: MCPServer
  url: mcp/amazon-aurora-dsql-mcp.yml
- type: Overlay
  url: overlays/amazon-aurora-dsql-openapi-overlay.yaml
- type: AgenticAccess
  url: agentic-access/amazon-aurora-dsql-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/amazon-aurora-dsql-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-aurora-dsql-domain-security.yml
- type: Authentication
  url: authentication/amazon-aurora-dsql-authentication.yml
- type: WellKnown
  url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/well-known/amazon-aurora-dsql-well-known.yml
- type: SecurityTxt
  url: https://raw.githubusercontent.com/api-evangelist/amazon-aurora-dsql/refs/heads/main/well-known/amazon-aurora-dsql-security.txt
- type: Features
  data:
  - Serverless PostgreSQL-compatible distributed SQL database
  - Automatic scaling with no database instances to manage
  - Multi-region active-active replication for global distribution
  - Built-in high availability with automatic failover
  - Pay-per-use pricing based on I/O and storage
  - Standard PostgreSQL client compatibility
  - Transactional consistency across distributed nodes
  - Integrated with AWS IAM for authentication
  - Automatic software patching and maintenance
  - Point-in-time recovery with continuous backups
- type: UseCases
  data:
  - Build globally distributed transactional applications
  - Run PostgreSQL workloads without managing instances
  - Deploy active-active multi-region database architectures
  - Migrate PostgreSQL applications to serverless infrastructure
  - Build applications requiring strong consistency at global scale
  - Implement high-throughput transactional microservices
- type: Integrations
  data:
  - Amazon VPC
  - AWS IAM
  - Amazon CloudWatch
  - AWS CloudTrail
  - Amazon RDS
  - AWS KMS
  - Amazon Route 53
  - AWS PrivateLink
  - Amazon S3
  - AWS Secrets Manager
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com