Oracle Tools

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.

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.

Most Oracle ADO.NET providers look similar until you start deploying real applications. Oracle Client dependencies, ORM compatibility, and connection architecture can change how smoothly your .NET project runs. This guide compares the leading providers and explains which ones hold up best in production environments.

Oracle ODBC drivers still sit behind a lot of enterprise reporting and analytics. But not all of them handle modern workloads the same way. This guide compares the best Oracle ODBC drivers for 2026, looking at compatibility, performance, security, and setup so you can pick the one that actually fits your environment.

This guide shows how to scale a CLI query tool across multiple databases in a clear and practical way. It explains why SQL Server, MySQL, Oracle, and PostgreSQL should be your first focus, how to build reliable CLI automation, and when it makes sense to extend support to data warehouses like Redshift.

How about ending this year on a major note? Meet dbForge 2025.3, our new release that covers the entire dbForge product line and brings lots of useful stuff to the table. Without further ado, let's take a look!

This article explains how Oracle AI Database 26ai improves SQL performance using built-in AI. It covers autonomous query tuning, generative AI for SQL creation, and predictive workload optimization. Together, these capabilities reduce manual tuning, stabilize execution plans, and help teams deliver faster, more reliable Oracle SQL performance at scale.

Learn what data integrity in DBMS means, why it’s vital for database accuracy, and how to maintain it effectively. Read on to protect your data now.