AI-powered database DevSecOps:
Enhanced AI database code monitoring
AI for database code change monitoring with robust AI database error management that automatically identifies errors and proposes ad-hoc best practices for resolution
AI-assisted database release automation
- Provides prompt and immediate feedback for developers.
- Based on crowd wisdom as it is forged by millions of other similar cases and generates a superior best practice tailored for the specific use case.
- AI Genie quickly resolves database errors to ensure smooth development processes with minimal disruption
- Enable your teams to gain valuable insights and efficiently tackle database errors within your CI/CD pipeline
- Significantly reduce downtime by minimizing the need to wait for expert analysis and consultation on database issues
Testimonials
We started with one manual release per three weeks, and now we are at 2,300 releases per month.
Enterprise {>1000 emp.}
DevOps and data warehouses have a bright future together with DBmaestro.
Enterprise {>1000 emp.}
DBmaestro allowed us to control changes made to the database and promote those changes in an easy and controlled way
DBmaestro helped us bring our DevOps pipeline to a new level. There is no doubt that DBmaestro is the #1solution for integrating multiple databases into separate pipelines with ease.
DBmaestro leveraged DORA principles and practices to enable technology-driven teams to adopt automation and streamline database change management. This empowers teams to ship changes more frequently and reliably, ultimately improving their overall software delivery performance.
DBmaestro is a really cool solution, it’s not a security one in the sense that it doesn’t get in the way, it basically relies on security controls to give customers more governance and also not to hinder productivity. It’s kind of, the best of both worlds, if you will
DBmaestro's Database DevOps platform
The end-to-end CI/CD for your database
Release faster and improve quality with the smart database release automation tool. Accelerate feedback loops between developers and DBAs to save time and eliminate costly rework.
Database DevOps observability empowers you to see everything happening within your database deployments. This translates to faster troubleshooting, improved efficiency, and heightened compliance.
Manage all changes made to database code, structure, or content across all teams. Maintain a single source of truth for all database changes.
Enforce organizational policy, manage roles and permissions while automatically documenting all changes made to your database code
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FAQ
Does DBmaestro's AI-powered database monitoring require access to sensitive production data?
No. DBmaestro can analyze metadata, change patterns, and execution behavior without direct access to sensitive data values, helping maintain data privacy and security.
Can DBmaestro's AI recommendations be customized to organizational standards?
Yes. DBmaestro’s AI-generated recommendations can be aligned with internal best practices, coding standards, and governance rules rather than relying on generic recommendations.
Is DBmaestro's AI-powered DevSecOps suitable for teams new to database automation?
Yes. DBmaestro can help reduce the learning curve by highlighting potential issues early and providing contextual explanations, helping teams adopt DevSecOps practices more confidently.