How to load your data from Braze to Microsoft SQL Server

Pipes allows you to automatically replicate your Braze data into Microsoft SQL Server on your defined schedule.
Load all your data from Braze to Microsoft SQL Server to instantly get access to your Braze data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your Braze data into Microsoft SQL Server. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to Microsoft SQL Server

This will be the destination of all data pipelines you build. Besides Microsoft SQL Server, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to Braze

Just enter your credentials to allow Pipes access to the Braze API. Then Pipes is able to retrieve your data from Braze.
3

Create a data pipeline from Braze to Microsoft SQL Server

Pipes lets you select the data from Braze you want to have in Microsoft SQL Server. This pipeline 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 Microsoft SQL Server

Microsoft SQL Server is a popular relational database management system. As a database server Microsoft SQL Server stores and retrieves data which may run either on another computer across a network or on the same computer, requested by other software applications.

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.