Database Change Management Simulator
Datical

Eliminate database downtime by simulating the impact of database changes before they are deployed.

Manually organizing and executing SQL scripts to upgrade your database schema version is a risky and time-consuming process. If you forget a script, run a script out of order, or execute the wrong version of a script, you can suffer from serious data loss or an outage. Normal DB management tools aren’t enough to help, especially when pushing changes live in critical production environments. Datical’s Database Change Management Simulator goes far beyond normal database version control tools. It allows teams to simulate the impact of database changes before they are applied. This can help prevent errors and outages, so you can confidently deploy faster with database continuous integration.

Know the Impact of Database Changes Before You Deploy. 

Datical’s DB Change Management Simulator analyzes builds a virtual model of the target database. When it’s time to deploy, the Simulator applies all proposed changes to the virtual model. It then compares the resulting state against the initial state of the virtual model and against organizational rules and policies. Once finished, the results are fed into Datical’s dynamic rules engine. Datical also delivers full database change control. Our solution keeps track of all changes that are verified and applied to the database. By simulating changes and keeping a log of all prior changes, Datical can ensure the state of the database regardless of the version from which you start and maintain a well-known, ideal state for all databases for an intelligent approach to database release management. 

Track and Manage Your Database Evolution Over Time.

Datical decomposes SQL scripts to individual database changes before they are exercised against the Change Management Simulator’s virtual model. In addition, Datical integrates with ticketing systems like JIRA. This helps tie each change back to the task that introduced them. You can now keep track of when and why database schema version control has been done. Combined with proper labeling and validation, your database changes can stay synced with application code changes. With Datical DB change management, your teams can hold or release feature sets without any problems.

 
Evolution of Application Release Automation Webinar Xebia
The Business Case For DevOps
Seeing is believing.