How to integrate Spryker in MySQL

Discover how to integrate Spryker and MySQL and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Spryker data into MySQL and analyze it with your BI Tool.
How to integrate Spryker in MySQL with Pipes


About Spryker

Spryker provides a commerce operating system to collate all relevant data and core processes in one place which simplifies the connection to numerous customer touchpoints. The Spryker solution consists of different modules including a shop front-end as well as a back-end which contains the business logic and delivers data to the Spryker Intelligence.

About MySQL

MySQL is a popular open-source RDBMS (relational database management system). It has become one of the leading database choices for large-scale websites including YouTube, Twitter, Facebook, and Yahoo. MySQL is 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.  

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Spryker, MySQL and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.