Amazon Redshift
Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
Amazon Redshift publishes 4 APIs on the APIs.io network, including Metadata API, Result Retrieval API, Statement Execution API, and 1 more. Tagged areas include Analytics, Big Data, Cloud, Data Lake, and Data Warehouse.
The Amazon Redshift catalog on APIs.io includes 2 JSON-LD contexts and 2 Spectral governance rulesets.
Amazon Redshift’s developer surface includes authentication, engineering blog, support, documentation, getting-started guide, FAQ, pricing, and 9 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon Redshift Serverless API
The Amazon Redshift Serverless API for managing serverless data warehouse workgroups, namespaces, and capacity without provisioning clusters.
Amazon Redshift Metadata API
List databases, schemas, and tables in a Redshift data warehouse
Amazon Redshift Result Retrieval API
Retrieve results from completed SQL statement executions
Amazon Redshift Statement Execution API
Execute SQL statements against Amazon Redshift clusters or serverless workgroups
Amazon Redshift Statement Management API
Describe, list, and cancel SQL statement executions
Postman Collections 4
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon Redshift Data API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Redshift Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Amazon Redshift Finops
FINOPSFeatures 6
Notable capabilities this provider offers.
Massively Parallel Processing
Distributed query execution across multiple nodes for petabyte-scale analytics with sub-second response times.
Serverless Data Warehouse
Auto-scaling compute capacity without cluster provisioning, paying only for compute used during queries.
Data API
Run SQL statements without managing database connections using IAM-based authentication and asynchronous execution.
Federated Query
Query data across Amazon RDS, Aurora, and S3 data lakes without moving data using federated query capabilities.
Machine Learning Integration
Build, train, and deploy ML models directly in Redshift using SQL with Amazon SageMaker integration.
Concurrency Scaling
Automatically add transient capacity to handle bursts of concurrent queries without performance degradation.
Semantic Vocabularies 2
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Redshift Context
JSON-LDAmazon Redshift Data Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon Redshift API Rules
SPECTRALAmazon Redshift API Rules
SPECTRALJSON Schema 31
Standalone JSON Schema definitions for this provider's data models.
Amazon Redshift Cluster
JSON SCHEMAActiveStatementsExceededException
JSON SCHEMABatchExecuteStatementRequest
JSON SCHEMABatchExecuteStatementResponse
JSON SCHEMACancelStatementRequest
JSON SCHEMACancelStatementResponse
JSON SCHEMAColumnMetadata
JSON SCHEMADescribeStatementRequest
JSON SCHEMADescribeStatementResponse
JSON SCHEMADescribeTableRequest
JSON SCHEMADescribeTableResponse
JSON SCHEMAExecuteStatementRequest
JSON SCHEMAExecuteStatementResponse
JSON SCHEMAField
JSON SCHEMAGetStatementResultRequest
JSON SCHEMAGetStatementResultResponse
JSON SCHEMAInternalServerException
JSON SCHEMAListDatabasesRequest
JSON SCHEMAListDatabasesResponse
JSON SCHEMAListSchemasRequest
JSON SCHEMAListSchemasResponse
JSON SCHEMAListStatementsRequest
JSON SCHEMAListStatementsResponse
JSON SCHEMAListTablesRequest
JSON SCHEMAListTablesResponse
JSON SCHEMAResourceNotFoundException
JSON SCHEMASqlParameter
JSON SCHEMAStatementData
JSON SCHEMASubStatementData
JSON SCHEMATableMember
JSON SCHEMAValidationException
JSON SCHEMAScroll for all 31
JSON Structure 30
JSON Structure definitions describing this provider's data shapes.
Amazon Redshift Data Cancel Statement Request Structure
JSON STRUCTUREAmazon Redshift Data Cancel Statement Response Structure
JSON STRUCTUREAmazon Redshift Data Column Metadata Structure
JSON STRUCTUREAmazon Redshift Data Describe Table Request Structure
JSON STRUCTUREAmazon Redshift Data Describe Table Response Structure
JSON STRUCTUREAmazon Redshift Data Execute Statement Request Structure
JSON STRUCTUREAmazon Redshift Data Field Structure
JSON STRUCTUREAmazon Redshift Data Internal Server Exception Structure
JSON STRUCTUREAmazon Redshift Data List Databases Request Structure
JSON STRUCTUREAmazon Redshift Data List Databases Response Structure
JSON STRUCTUREAmazon Redshift Data List Schemas Request Structure
JSON STRUCTUREAmazon Redshift Data List Schemas Response Structure
JSON STRUCTUREAmazon Redshift Data List Statements Request Structure
JSON STRUCTUREAmazon Redshift Data List Statements Response Structure
JSON STRUCTUREAmazon Redshift Data List Tables Request Structure
JSON STRUCTUREAmazon Redshift Data List Tables Response Structure
JSON STRUCTUREAmazon Redshift Data Sql Parameter Structure
JSON STRUCTUREAmazon Redshift Data Statement Data Structure
JSON STRUCTUREAmazon Redshift Data Sub Statement Data Structure
JSON STRUCTUREAmazon Redshift Data Table Member Structure
JSON STRUCTUREAmazon Redshift Data Validation Exception Structure
JSON STRUCTUREScroll for all 30
Examples 30
Example request and response payloads for these APIs.
Scroll for all 30
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers build with this provider.
Business Intelligence Analytics
Run complex analytical queries across petabytes of structured data for BI dashboards and reporting.
Data Lake Analytics
Query data directly in Amazon S3 using Redshift Spectrum without loading it into the warehouse.
Real-Time Analytics
Ingest streaming data and run near-real-time analytics on operational data for instant insights.
ETL Pipeline Processing
Transform and load large datasets using SQL-based ETL operations within the data warehouse.
Serverless Ad-Hoc Queries
Run on-demand analytical queries without provisioning clusters using Redshift Serverless and Data API.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API