Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. It can capture, transform, and deliver streaming data to Amazon S3, Amazon Redshift, Amazon OpenSearch Service, Splunk, and any custom HTTP endpoint. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration.
Amazon Kinesis Data Firehose publishes 1 API on the APIs.io network: Delivery Streams API. Tagged areas include Analytics, Data Delivery, and Streaming.
The Amazon Kinesis Data Firehose catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Amazon Kinesis Data Firehose’s developer surface includes authentication, developer portal, documentation, support, developer console, signup flow, and 14 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon Kinesis Data Firehose Delivery Streams API
Firehose delivery stream management
Postman Collections 1
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon Kinesis Data Firehose API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Kinesis Firehose Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Features 5
Notable capabilities this provider offers.
Zero Administration
Fully managed service that automatically scales to match data throughput with no ongoing administration.
Data Transformation
Transform streaming data using AWS Lambda before delivering to destinations.
Multiple Destinations
Deliver data to Amazon S3, Redshift, OpenSearch Service, Splunk, Datadog, and custom HTTP endpoints.
Format Conversion
Automatically convert data formats such as JSON to Apache Parquet or Apache ORC before storing in S3.
Data Compression
Compress data using GZIP, ZIP, or Snappy before delivering to S3 to reduce storage costs.
Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
JSON Schema 1
Standalone JSON Schema definitions for this provider's data models.
DeliveryStream
JSON SCHEMAJSON Structure 1
JSON Structure definitions describing this provider's data shapes.
Amazon Kinesis Firehose Delivery Stream Structure
JSON STRUCTUREExamples 1
Example request and response payloads for these APIs.
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 4
What developers build with this provider.
Log Analytics
Stream application and infrastructure logs to Amazon OpenSearch Service for real-time analysis.
Clickstream Analytics
Capture website clickstream data and deliver to data lakes for behavioral analysis.
IoT Data Ingestion
Ingest IoT device telemetry into S3 or Redshift for analytics and reporting.
Security Analytics
Stream security events and logs to SIEM systems like Splunk for threat detection.
Integrations 5
Pre-built integrations with other platforms and tools.
Amazon S3
Deliver streaming data to S3 buckets as the primary data lake destination.
Amazon Redshift
Load streaming data into Redshift data warehouse for SQL analytics.
Amazon OpenSearch Service
Index streaming data in OpenSearch for real-time search and visualization.
AWS Lambda
Transform and enrich streaming data using Lambda functions before delivery.
Splunk
Send streaming data to Splunk for security and operational analytics.
Resources
Get Started 5
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
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 2
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 2
Pricing, plans, and the legal terms of use