Amazon S3 Integration

Amazon S3, short for Simple Storage Service, allows you to securely store your data without worrying about its size or scale. With an intuitive and easy to use interface and tons of useful management features, S3 allows you to effortlessly store and organize your data to keep your business-specific requirements in mind.

What You Can Do with Amazon S3

  • 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

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.

You can overcome this problem by integrating Amazon S3 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 into 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

Get complete details of your Amazon S3 bucket data through an intuitive dashboard

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So How Do You Integrate Amazon S3 with RudderStack?

It’s very easy! Use our step-by-step guide to set up Amazon S3 as a destination in RudderStack to get started within minutes.

FAQs

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.

Similar Destinations

Snowflake

Azure Blob Storage

Amazon Redshift