Amazon Kinesis Firehose Integration
RudderStack automatically collects all the event data from your sources and delivers them to the Firehose streams reliably. With RudderStack, you also get the option to map events to a specific delivery stream. This is highly useful when you want to store similar event types together for further processing.
Add Amazon Kinesis Firehose as a destination in RudderStack and:
- Track, collect and route your event data to the Kinesis Firehose stream securely and reliably
- Send information related to page views, users and their associated properties to Kinesis Firehose in near real-time
- Map specific events to the Kinesis Firehose stream without any hassle
- Send the event data to the streams without having to worry about the required format
Frequently Asked Questions
What is Amazon Kinesis Firehose used for?
Amazon Kinesis Firehose is a managed AWS streaming service that enables developers to build and operate various kinds of data streams.
Is it hard to set up Amazon Kinesis Firehose?
Difficulty can vary based on your existing tech stack and data streaming needs. Many users choose to simplify implementation by sending data to Amazon Kinesis Firehose through secure managed AWS streaming integration tools like RudderStack.
How much does it cost to integrate Amazon Kinesis Firehose with RudderStack?
What is the primary use case of Amazon Kinesis firehose?
Amazon Kinesis Firehose allows you to load your streaming data into data lakes and other analytics services reliably and securely. You can capture, transform and route your streaming data to Amazon S3 buckets, generic HTTP endpoints, warehouses such as Redshift, or services such as Elasticsearch and Splunk. With Kinesis Firehose, you can batch, transform, and encrypt your data streams before loading them into a data lake or warehouse. Thus, you can minimize the storage space required for your data and add another layer of security to it.
What is the difference between Kinesis stream and Kinesis firehose?
Essentially, Kinesis Data Streams are low-latency streaming services that allow you to ingest data at scale. They are highly customizable and best-suited for developers who want to build custom applications that use streaming data for their use-cases. However, Kinesis streams require manual provisioning and scaling. Kinesis Firehose, on the other hand, loads data streams directly into AWS and other services such as Elasticsearch, Redshift, Splunk, etc. for processing. In this case, scaling and provisioning are handled automatically by Kinesis Firehose.
What is the difference between Kinesis and SQS?
Simply put, the main difference between Amazon Kinesis and SQS is that while SQS is a FIFO (First In First Out) queue, Kinesis is a low-latency real-time streaming service that allows you to process data with minimum delay.
Use the Amazon Kinesis Firehose integration with popular sources
About Amazon Kinesis Firehose
Amazon Kinesis Firehose gives you an easy and reliable way to load your streaming data into data lakes, data stores, and a host of other analytics tools. It is a fully-managed service that can be scaled automatically to match the load and throughput of your data, without requiring any additional administration. You can also perform batch processing, and compress, transform, and encrypt your data before loading it. Firehose helps you minimize the amount of storage used at the destination in a secure manner.