How to combine data from Braze with Amazon S3

Pipes allows you to quickly Integrate Braze with Amazon S3 data for a combined analysis.
Load data from Braze and Amazon S3 into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Braze, Amazon S3, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to Braze and Amazon S3

You just need to enter the associated credentials to allow Pipes access to the Braze API and the Amazon S3 API.
3

Combine data from Braze and Amazon S3

Pipes lets you select the data from Braze and Amazon S3 that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Braze

Braze is a customer engagement and mobile marketing platform. It allows live views of every customer, intuitive customer journey building, in-the-moment campaign optimization, and more.

About Amazon S3

Amazon Simple Storage Service (Amazon S3) is an object store with a simple web service interface. Users can retrieve and store any amount of data from anywhere in the Internet. Customers use Amazon S3 as primary storage for cloud-native applications, mass repositories, or datalake, for analysis, as a backup and recovery target, as well as disaster recovery and serverless data processing.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.