How to join Greenplum and MySQL

Learn how to join Greenplum with MySQL for integrated analysis

WITH DATA VIRTUALITY PIPES
Replicate Greenplum and MySQL data into one target storage and analyze it with your BI Tool.
How to join Greenplum and MySQL with Pipes


About Greenplum

Greenplum Database is a fully featured, advanced and open-source data warehouse and provides rapid analytics on petabyte scale data volumes. Originally based on PostgreSQL Greenplum Database has added a good number of data warehouse innovations. The database architecture provides an automatic parallelization of all queries and data.

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 Greenplum, 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:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.