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SQL Compare and SQL Data Compare v16 introduces SQL Server 2025 support and improved credential security. Plus, SSMS 22 integration is coming soon. We have just released a new major version of SQL Compare and SQL Data Compare – version 16. This major version has two big items and one coming soon.

Because I don’t want to have to fight with our support team (they’re awesome, but busy) I decided that, initially, I’m going to host dbRosetta at ScaryDBA.com. I have full control of the web site, and I won’t be breaking Redgate Software entirely if I accidently do something silly. Before starting the process of developing our next prompt, or set of prompts, I discussed the project with CoPilot. We agreed to break the next part into two pieces.

Since I’m starting development with the dbRosetta database, and since I’m way more comfortable with databases than with code, I’m going to continue within the database sphere for a bit as we build out dbRosetta. My next step is to work with the AI to get a pipeline in place to take our database code and deploy it to Azure Flex Server.

In our latest Redgate Flyway Enterprise release, you can store a snapshot directly in the target database, making drift detection and rollback strategies easier and more reliable whether you’re using state-based or migrations-based deployments.

Redgate Monitor v14.1.0 now provides a simple, built-in integration with ServiceNow that uses its REST API directly. This replaces the older webhook-based approach and removes much of the setup and maintenance overhead.

Redgate took the main stage earlier today to open PASS Data Community Summit with our keynote, where we shared our vision for the future of the database development experience – one driven by speed, safety, and the intelligent use of AI. As data estates grow in scale and complexity, and as organizations push to deliver software faster than ever, the role of the database is undergoing significant change.

Everyone wants to move faster with AI, but few are truly ready for it. This is where organizations can position themselves better as AI readiness isn’t just about algorithms, it’s about whether your data, systems, and teams are prepared to support intelligent automation safely and effectively.