🗓️ Live Webinar August 17: How Allbirds solves identity resolution in the warehouse with dbt Labs, Snowflake, and RudderStack

Register Now

Amazon S3 integration with RudderStack

Store Your Data Securely and Efficiently with Amazon S3 and RudderStack

RudderStack supports Amazon S3 as a destination. Once enabled, you can seamlessly store your customer event data into your S3 buckets for analytics. If building a custom ETL pipeline for analytics is your goal, routing your data from RudderStack to Amazon S3 is the way to go! RudderStack ensures that the data sent to S3 does not need to be cleaned or formatted, so you can directly pick it up for analysis. The data stored in the S3 bucket is a line-separated JSON object, each line corresponding to the data from a single API call made to RudderStack.

By Adding Amazon S3 Support for RudderStack, you can:

  • Store your events in your S3 bucket without having to worry about the size or the scale of the data
  • Eliminate the need to format or clean your data before using it for analytics
  • Build a custom data pipeline and perform your analysis with ease

What you can do with Amazon S3

It can be quite difficult to ingest raw data into S3 in a clean, easily-understandable format. While it is possible to use the export APIs of the analytics tools such as Google Analytics, it takes a lot of time and effort. Also, you end up with data that can be used to power reports in your analytics tools, and not the raw data that can be used for custom analysis.

Overcome this problem by integrating Amazon S3 with RudderStack.

Scale your Amazon S3 storage resources as per your business requirements

Store your data across different S3 Storage classes that support different access levels

Assign unique categories to your data in Amazon S3 to manage the efficient transitions between the storage classes

Secure your data from unauthorized access through various data protection strategies

Implement replication and high availability to ensure your data is readily available at all times

Query your data in a SQL-powered database instance to gain meaningful, actionable insights

How to set up the Amazon S3 Integration

It’s very easy! Use our step-by-step guide to set up Amazon S3 as a destination in RudderStack, and get started in no time.



How can we help you?

What is Amazon S3 used for?

Amazon S3 is a object storage that enables developers to send data from Databases & Object Storage.

Is it hard to set up Amazon S3?

Difficulty can vary based on your data structure, data cleanliness and required destinations. Many users choose to simplify implementation by sending data through secure object storage integration tools like RudderStack.

How much does it cost to integrate Amazon S3 with RudderStack?

Pricing for Amazon S3 can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

How does AWS S3 work?

Within the S3 service, users can create ‘buckets’. These buckets are used to store object-based files and can be thought of as folders. When an individual or groups of files are uploaded to the buckets, you can explicitly specify the type of S3 storage to be used for these objects.

How is Amazon S3 implemented?

Objects are the basic storage units of Amazon S3, which are organized into buckets. Each object can be identified by a unique, user-assigned key. You can manage the buckets using either the Amazon S3 console, the Amazon S3 REST API, or programmatically using the AWS SDK.

How fast is AWS S3?

The traffic between Amazon EC2 and Amazon S3 can take up to 25 gbps of bandwidth. That said, the data transfer rate between an EC2 instance and an S3 bucket depends on several factors, such as the region where the S3 instance and the buckets are located.

Customer Data Platform for Developers | RudderStack
HIPPA Compliant