Devart：dbForge Schema Compare for PostgreSQL v.1.2 rolled out

We are thrilled to inform our customers that the new version of dbForge Schema Compare for PostgreSQL has been rolled out. The release brings a number of new features and major improvements.

New features in Schema Compare for PostgreSQL v.1.2

Improved Text Compare Control

Text diff visualization control has been honed to perfection for you to grasp schema differences quicker and more efficiently. More to the point, now you can customize the diffs colors to your liking.

Comparison Reports

Schema Compare for PostgreSQL v1.2 got a comprehensive reporting feature, easily customizable to fit specific requirements. It allows exporting the received comparison results in the most popular file formats: HTML, Excel, and XML.

Additional Scripts tab added to the Schema Comparison wizard

Aiming to give you more control over database deployments, we add the possibility to create custom pre- and post-synchronization scripts that will be run before or after schema synchronization.

Support for materialized views comparison and synchronization in Amazon Redshift

Striving to keep our product up-to-date, we add the support for materialized views in Amazon Redshift. Try the Schema Compare for PostgreSQL out and enjoy the increased query performance that can be achieved with Amazon Redshift materialized views.

Connectivity Support to Heroku Cloud

Heroku is a platform as a service allowing developers to build, run, and operate applications entirely in the cloud. It supports multiple programming languages, has powerful integrated data services and mighty ecosystem that enables developers to deploy and run modern apps. We are happy to announce that Schema Compare for PostgreSQL now allows connection to Heroku cloud.

Object Filter

The Object Filter functionality allows the user to fine-tune database deployment by excluding objects from synchronization according to the specified filter condition.

Share your feedback with us

Get the new version of Schema Compare for PostgreSQL and share your thoughts with us!