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.

Overcome this problem by integrating Amazon S3 with RudderStack.

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.

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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
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