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.
APIs
Amazon Kinesis Data Firehose API
The Amazon Kinesis Data Firehose API provides the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. The API allows you to create ...
Capabilities
Amazon Kinesis Data Firehose Workflow
Unified workflow capability for Amazon Kinesis Data Firehose combining resource management and operations.
Run with NaftikoFeatures
Fully managed service that automatically scales to match data throughput with no ongoing administration.
Transform streaming data using AWS Lambda before delivering to destinations.
Deliver data to Amazon S3, Redshift, OpenSearch Service, Splunk, Datadog, and custom HTTP endpoints.
Automatically convert data formats such as JSON to Apache Parquet or Apache ORC before storing in S3.
Compress data using GZIP, ZIP, or Snappy before delivering to S3 to reduce storage costs.
Use Cases
Stream application and infrastructure logs to Amazon OpenSearch Service for real-time analysis.
Capture website clickstream data and deliver to data lakes for behavioral analysis.
Ingest IoT device telemetry into S3 or Redshift for analytics and reporting.
Stream security events and logs to SIEM systems like Splunk for threat detection.
Integrations
Deliver streaming data to S3 buckets as the primary data lake destination.
Load streaming data into Redshift data warehouse for SQL analytics.
Index streaming data in OpenSearch for real-time search and visualization.
Transform and enrich streaming data using Lambda functions before delivery.
Send streaming data to Splunk for security and operational analytics.