Database release automation.
Simplified.

Release faster while improving quality with smart automation for your database. Accelerate feedback loops between developers and DBAs to save time and eliminate costly rework.

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Featuring:

Ten problems around the disconnect between DevOps and DB teams
Adopting DevOps best practices
Three primary components of database delivery automation
Using Jira and Jenkins for the database

BLANCE SAFETY AND SPEED

Manage database release pipelines

Package, verify, deploy, and promote the database delivery pipeline
Pre-run the next release on a provisional environment to prevent errors
Identify, flag, and manage configuration drifts, conflicts, and errors to ensure a successful release every single time
Revalidate the database’s final state post-deployment and audit all changes made.

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SEAMLESS INTEGRATION WITH YOUR EXISTING PROCESS

Zero friction database deployment

Seamless integration with all sources of database changes
True repeatability: Scripts introduced and tested in the integration environment are the actual scripts pushed forward as tested to higher environments.

MINIMIZE ERRORS AND TIME-CONSUMING REWORK

Prevent configuration drifts and errors before release

Identify instances of configuration drift due to hotfixes and versioning misalignments
Get notified on inconsistencies between environments

SINGLE SOURCE OF TRUTH FOR DATABASE CODE CHANGES

Enforce policies and standards

Control changes and types of changes made to databases
Enforce roles, responsibilities, and policies
Prevent unauthorized and out-of-process changes

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END-TO-END CI/CD FOR YOUR DATABASE

Scalable, agile, cross-team collaboration

Seamless integration with all sources of database changes, throughout all environments
Make it simple for Devs, DevOps, and DBAs to work together to accelerate release speed
Support speed without sacrificing quality