Datical Updates Signature Platform to Help Free Up More Time for DBAs

Datical, a provider of agile database automation solutions, is releasing an updated version of its namesake platform, improving the solution with change management enhancements to boost workflows.

“We’re really doing our best to be focused on what customers need,” said Pete Pickerill, vice president of products and co-founder of Datical.

Datical DB 4.0 includes a new Automated Deployment Packager that allows database changes to be continually validated, packaged, and integrated via more pervasive, hands-off automation.

Datical DB’s automation capabilities reduce the amount of time database administrators (DBAs), developers and QA teams spend managing these changes from ideation to production deployment, according to the company.

By utilizing Datical’s Automated Deployment Packager, database developers are now able to check change scripts for database platforms such as Oracle, Microsoft SQL Server or IBM DB2 into source code control solutions like Git, Apache Subversion or Team Foundation Server.

This triggers a process that automatically accepts or rejects the proposed changes based on validation routines defined and customized by seasoned DBAs.

Validation routines ensure that changes are well designed and compliant with organizational standards and best practices. Once a set of changes is approved, it is packaged and labeled for easy deployment to other environments through tight integrations with popular build and release automation tools like Jenkins, IBM UrbanCode, XebiaLabs XL Deploy or Electric Cloud ElectricFlow, or by using Datical’s graphical or command line interfaces.

Future plans for the platform include extending integration and support for relational databases, data warehouses, semi-structured solutions, and more. “It’s about platform expansion and our ultimate goal is every time you think of managing or changing a database, you think of Datical,” Pickerill said. Customers are also asking for support for open source offerings and more in the relational space, Pickerill said.

For more information about Datical DB 4.0, visit