Challenge: Manual Database Deployments

Manual processes to create and deploy database changes can’t keep up with today’s velocity of change. Deployments fail in production, rework is required, and most importantly, Enterprise DBAs lose productivity performing critical, but tedious, work.

Automate your database deployments with Datical DB to increase velocity, reduce risk, and increase application quality.

  • Changeset Wizard to create database changes for any skill level
  • DB Status provides what changes have run, what needs to be run, and what can be ignored
  • Deployment Plan organizes your environment and configuration information
  • Leverage your investment in automation with Datical DB Integrations >>
  • Support Branching/Merging, Continuous Integration, and Continuous Delivery
  • Deploy to any database you can connect to, anywhere
DBMS support for: Oracle, SQL Server, DB2, MySQL, and PostgreSQL

Challenge: Managing SQL Scripts

Without a centralized location to version your database changes, scripts are often held in spreadsheets, emails, runbooks, etc. Configurations drift, deployments are impeded by a lack of visibility into the state of the database, and the risk of failing in production is high.

Datical’s data model creates a living history inside the database so you understand its current state at any point in time.

  • Snapshot existing databases to form a baseline and bring them under source control
  • Compare and Sync to eliminate configuration drift across environments
  • Support Branching/Merging, Continuous Integration, and Continuous Delivery
DBMS support for: Oracle, SQL Server, DB2, MySQL, and PostgreSQL

Challenge: Validating Database Changes

Scripts are binary – they either work or they don’t. When they don’t work, you rarely get concise information as to why. What worked in one environment fails in the next, and deployments rely on the individual heroics of the Enterprise DBA.

Datical’s model-based approach allows you to validate database changes before deploying them to a target environment.

  • Forecast models changes in memory against a target, increasing release confidence
  • DB Status provides a queue of pending changes
  • Selectively Deploy Changes based on the specific goals of your maintenance window
  • Advanced Rollback provides maximum flexibility in the event of a failed deployment
DBMS support for: Oracle, SQL Server, DB2, MySQL, and PostgreSQL

Challenge: Migrating to the Latest Release

Catching the database up over several iterations is a task fraught with risk for the Enterprise DBA. What changes have been run? What changes still need to be run? What set of scripts, and in what order, is required to catch the database up?

Datical’s data model creates a living history of your database so you instantly understand what release the database is at, and what changes need to be executed to bring it up to date.

  • Changelog versions your database changes in sync with the application code
  • DB Status shows the current release, and pending changes to migrate to the latest release
  • Snapshot any database to baseline the current release, Compare and Sync to catch it up
DBMS support for: Oracle, SQL Server, DB2, MySQL, and PostgreSQL

Break through bottlenecks in your application release process with Datical DB. See More Features

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