How to integrate Informix IBM in Google Cloud SQL

Discover how to integrate Informix IBM and Google Cloud SQL and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Informix IBM data into Google Cloud SQL and analyze it with your BI Tool.
How to integrate Informix IBM in Google Cloud SQL with Pipes


About Informix IBM

  IBM Informix is a product family within IBM's Information Management division that is centered on several relational database management system (RDBMS) offerings. The Informix server supports the object-relational model, which has permitted IBM to offer extensions that support data types that are not a part of the SQL standard. The most widely used of these are the time series and spatial extensions, which provide both data type support and language extensions that allow high performance domain specific queries and efficient storage for datasets based on time series and spatial data.

About Google Cloud SQL

Google Cloud SQL is a database service fully manageable which makes your relational databases on Google Cloud Platform easy to set up, maintain and administer.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Informix IBM, Google Cloud SQL 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.