Database DevOps Customer Success Stories

Read how enterprises such as Elevance Health and Pilot Flying J use DBmaestro to automate database releases, enforce compliance and bring the database into their CI/CD pipelines. These database DevOps case studies span healthcare, retail, automotive, gaming and HR software, with results including 75% faster releases and up to 2,300 releases a month.

All success stories

Healthcare & Insurance

Elevance Health Case Study – DevOps Database Automation Sparks Substantial Development Boost

One of the largest US health insurers moved from manual releases, tracked in Excel spreadsheets, to fully automated database releases with DBmaestro. Release time dropped by 75%, the company saved more than $100,000, and every task is now tracked and monitored. For the first time, it can also run reliable rollback scripts.

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Gaming

DBmaestro Deployments a Win for Gaming Website

This e-gaming leader ran on manual database releases for years and tested several automation tools without finding one that fit. DBmaestro gave it automated, reliable database deployments.

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Turn database releases into your fastest pipeline.

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Automotive

Automotive Industry Success Story

A carmaker with more than a century of history had remote teams working across Oracle and SQL Server, with PostgreSQL on the way. Manual database delivery couldn’t keep up. With DBmaestro, releases are fully automated, repeatable and safer, and a fully audited process covers the company’s compliance requirements.

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HR Technology

HR Management Company Case Study

Their CI/CD pipeline stopped at the database: every change waited on manual DBA work, and releases of highly sensitive applications were slow and error-prone. With end-to-end database CI/CD built on DBmaestro’s “Build Once, Deploy Many” approach, they went from one manual release every three weeks to 2,300 releases a month.

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Results at a Glance

Measured outcomes reported by DBmaestro customers after automating their database release pipelines.

Faster database releases

Elevance Health

metric-up 75%
Releases per month, up from one every three weeks

S&P 500 HR software leader

metric-up 2,300
Higher DBA productivity

Pilot Flying J

metric-up 65%
Saved by replacing manual releases

Elevance Health

metric-up $100K+
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FAQ

  • What results do enterprises achieve with database release automation?

    Enterprises using DBmaestro report faster releases, higher team productivity and fewer failed deployments. Elevance Health cut database release time by 75% and saved over $100,000. Pilot Flying J raised DBA productivity by 65%. An S&P 500 HR software provider went from one manual release every three weeks to 2,300 releases a month.

  • How does DBmaestro help with SOX and audit compliance?

    DBmaestro enforces separation of duties, role-based access control and organizational policies on every database change, and records a full audit trail automatically. Pilot Flying J uses these controls to meet SOX and corporate governance requirements. A Global 100 automaker relies on them for a well-audited release process that covers its compliance needs.

  • Which databases does DBmaestro support?

    DBmaestro supports the major enterprise databases, including Oracle, Microsoft SQL Server and PostgreSQL, and can manage several of them in one pipeline. For example, a Global 100 automaker uses it to standardize releases across Oracle and SQL Server while adding PostgreSQL.

  • How does DBmaestro fit into an existing CI/CD pipeline?

    DBmaestro brings the database into the same CI/CD pipeline as application code, so database changes no longer depend on manual DBA work. It uses a "Build Once, Deploy Many" approach: a change is packaged once and promoted consistently through every environment. That approach helped an HR software leader scale to 2,300 releases a month.

  • Can DBmaestro roll back database changes?

    Yes. DBmaestro tracks every database change, so teams can roll back safely. Elevance Health reported that with DBmaestro it could run smooth rollback scripts for the first time, after years of tracking changes manually in Excel.

  • How do we measure the impact of database DevOps?

    DBmaestro measures database delivery with the DORA metrics: deployment frequency, lead time for changes, change failure rate and time to restore service. Teams use these dashboards to find bottlenecks and track progress. One Nasdaq-listed retail enterprise reached 450+ monthly releases with a 98%+ success rate.

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