AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM's 2025 research found that 97% of organizations...
Meet dbForge 2026.2 with a smarter AI Assistant, a brand new embedded PostgreSQL Debugger, additional visual object editors for PostgreSQL, as well as enhanced SQL development and schema comparison.
Postgres went from respected niche pick to the default database for new projects in under a decade. Here is what it actually is, how it works under the hood, what it is genuinely good at, and where it will make you work for it.
Your application code branches in seconds. Your database still gets copied, shared, and fought over. Here is how database branching closes that gap, where it breaks down, and what has to sit around it before it makes releases safer.
AI agents can already write SQL, inspect schemas, and work through multi-step database tasks. But what happens when they start acting inside the database itself. Read the full article to see where that shift leads, what still needs human control, and how database IDEs fit into the picture.
Visual Studio 2026 ships SQL projects through SSDT, and only the original project format. Here is how to configure, validate, version, deploy, and drift-check a database project without discovering the gaps during a release.
PostgreSQL 19 Beta 1 is live, previewing most of what's planned for the final release. Here's what changed for query planning, table maintenance, autovacuum, and logical replication—and what to test before general availability lands later in 2026.
Every PostgreSQL ADO.NET provider looks great at the beginning. The real differences appear later, when your app starts scaling and production issues start showing up. That’s when tooling, ORM support, and connection management really matter. Read the full article to find the right fit for your stack.
The time has come to announce the release of dbForge 2026.1, a grand update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem.
Range queries can quietly slow down PostgreSQL as datasets grow. This guide helps you spot the root cause, compare query plans side by side, and speed things up with indexing improvements like GiST. Learn how Query Profiler helps compare query results and confirm real improvements when running PostgreSQL on AWS Aurora.