How to load your data from MySQL CDC to Snowflake

Pipes allows you to automatically replicate your MySQL CDC data into Snowflake on your defined schedule.
Load all your data from MySQL CDC to Snowflake to instantly get access to your MySQL CDC data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your MySQL CDC data into Snowflake. 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 Snowflake

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

Connect to MySQL CDC

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

Create a data pipeline from MySQL CDC to Snowflake

Pipes lets you select the data from MySQL CDC you want to have in Snowflake. This pipeline will run automatically on your defined schedule!

About MySQL CDC

MySQL is a popular open-source RDBMS (relational database management system) and offered under two different editions: the open source MySQL Community Server and the proprietary Enterprise Server. The MySQL Enterprise Server is differentiated by a series of proprietary extensions which install as server plugins but is built from the same code base.

About Snowflake

Snowflake is a high performing cloud data warehouse. It can either be used to store your data in it or / and to use it as a data source.

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.