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Do you ever feel like SQL development is a juggling act? One minute you’re in SQL Server, the next in Oracle or MySQL, trying to track queries, optimize execution plans, and make sense of complex schema logic. Sounds familiar? You’re not alone—and now, there’s a smarter way to work.

dbForge 2025.3 brings the world's most advanced SQL-focused AI right into SSMS expands connectivity for the latest Oracle and MySQL versions, offers integration with SSMS 22 and Visual Studio 2026, and delivers improvements across database diagrams, PostgreSQL-specific syntax support, and query profiling.

This release is part of the official dbForge 2025.3 rollout across the entire product ecosystem, bringing productivity-focused updates, UI/UX improvements, and enhanced connectivity for SQL Server, MySQL, Oracle, and PostgreSQL users.

dbForge AI Assistant Now Available in SQL Complete  The AI Assistant is now integrated directly into SQL Server Management Studio — no extra tools, no switching between environments. It understands your schemas, optimizes queries, generates SQL code from natural language, and explains even the most complex SQL logic clearly and easily. Result: 30–50% faster development thanks to schema-aware AI working inside your native workflow. This marks the first time dbForge AI Assistant has been integrated into an SSMS add-in, bringing the conversion of natural language to SQL, query optimization, and in-context explanations directly into SQL Complete.

Support for Oracle 26ai Added full compatibility with the newest Oracle release. After upgrading your database, all tooling remains fully accessible—schema work, querying, and admin tasks continue without disruption. Result: Zero downtime for teams adopting Oracle’s latest AI-enhanced features.

Support for MySQL 9.5 & MariaDB 12.2 Full connectivity with the latest MySQL and MariaDB versions—without workflow gaps after upgrades. Result: Uninterrupted development, profiling, and administration on cutting-edge deployments.

Integration With SSMS 22 and Visual Studio 2026 SQL Complete now works seamlessly with Microsoft’s newest versions. Result: Autocompletion, formatting, refactoring, and AI assistance are available on day one—no waiting for compatibility patches.

Database Diagram Improvements Added object search directly inside database diagrams. Result: Instant navigation across large ER diagrams, eliminating endless scrolling and speeding up design reviews.

PostgreSQL-Specific Enhancements Expanded support for modern PostgreSQL syntax, including: WITH MATERIALIZED, MERGE, cursors, WITH TIES, procedural elements, and more. Result: Fewer parsing issues, smarter autocompletion, cleaner formatting, and faster, more reliable development.

Visual EXPLAIN Tree for MySQL Query Profiler now visualizes EXPLAIN plans as an intuitive tree diagram. Result: Immediate insight into join order, nested loops, and expensive operations—making query optimization faster and clearer. Alongside AI-driven workflows, dbForge 2025.3 also expands support for newly released database versions, introduces additional PostgreSQL and Oracle syntax constructs, and delivers UI/UX improvements requested by the community.

Why This MattersWhether you’re switching between SQL Server, Oracle, MySQL, MariaDB, or PostgreSQL, dbForge 2025.3 keeps you in flow. The AI Assistant acts as an invisible teammate—spotting errors, explaining logic, and helping you move faster across platforms.

Fewer mistakes. Smarter queries. Faster results.

More details, screenshots, and practical tips:https://blog.devart.com/whats-new-in-dbforge-2025-3-enhanced-connectivity-updated-ui-ux-newly-supported-syntax-constructs-and-much-more.html

The update is live — check it via Help → Check for Updates inside dbForge tools.

Data analysis and reporting are routine tasks for analysts and managers, but they remain complex and time-consuming. The process usually involves selecting relevant data, writing SQL queries, validating results, and presenting insights in a clear, readable format. On top of that, effective data visualization is critical — it helps reveal trends, patterns, and anomalies that may not be obvious in raw tables.

Even with solid SQL skills, this workflow can become inefficient when reports need to be created regularly or datasets grow in size.

While SQL is essential, working only through queries is not always the most practical approach to analysis. GUI-based database tools help reduce friction by allowing users to explore data visually, refine queries faster, and prepare reports without excessive manual effort. Some tools also include built-in reporting features for creating structured, readable reports from query results. More details can be found here: https://www.devart.com/dbforge/mysql/studio/data-reports.html

Using the right database tool can simplify data analysis and reporting without removing the flexibility of SQL.

Generating random numbers and populating SQL tables with sample data is a daily challenge for database developers, QA engineers, and data analysts. When you need realistic datasets for testing, validation, or experimentation, manual data creation quickly becomes inefficient — and error-prone.

SQL Server offers built-in functions to generate random numbers and values within specific ranges. Combined with automated data generation, this approach lets you create unbiased, representative datasets in minutes. It’s especially useful for testing database tools, validating business logic, and running experiments without risking production data.

This article walks through practical ways to generate random numbers in SQL Server, with clear syntax examples and use cases. It also demonstrates how dbForge Data Generator for SQL Server can automate the process, helping you populate tables with meaningful sample data faster and more consistently.

Learn more and see practical examples here: https://www.devart.com/dbforge/sql/data-generator/how-to-generate-random-numbers.html

JSON has become a common way to exchange data — from API responses and application logs to exports from third-party services. Eventually, this data often needs to be stored in MySQL to query, analyze, or combine with other relational data.

But importing JSON into MySQL can be tricky. Files can be nested, inconsistent, or partially undocumented. The traditional approach — writing scripts, flattening objects, testing mappings, and fixing errors — is time-consuming and error-prone. And when structures change, the process has to be repeated.

Working with dynamic SQL, auto-generated scripts, or object names that include spaces, special characters, or reserved keywords can be tricky. One small mistake and your query fails — or worse, becomes vulnerable. That’s where SQL Server’s QUOTENAME() function comes in.

QUOTENAME() automatically wraps identifiers in brackets or quotes, ensuring SQL Server interprets them correctly. With QUOTENAME(), your SQL becomes far more predictable: identifiers are validated, special characters are handled automatically, and dynamically generated queries remain structurally safe and consistent.

It’s a simple function, but it can save you hours of debugging and prevent potential errors in production. Whether you’re building complex scripts, generating SQL programmatically, or managing databases with diverse naming conventions, QUOTENAME() helps keep your SQL clean, safe, and reliable.

Learn more and see practical examples here: https://www.devart.com/dbforge/sql/studio/sql-server-quotename-function.html

Working with MySQL often means navigating dozens of tables, relationships, routines, and objects. A good database browser turns this complexity into a clear visual structure — letting you explore, search, and manage everything without writing SQL manually.

One of the strongest examples of this is the Database Explorer inside dbForge Studio for MySQL. https://www.devart.com/dbforge/mysql/studio/mysql-database-browser.html

Why is it useful? - The Database Explorer gives you a clean, tree-based view of your databases and lets you: - Manage unlimited connections - Quickly browse schemas and objects - View properties - View, copy, edit, rename, and delete database objects - Filter and search for objects - Generate DDL scripts in one click - Import/export data - Debug routines - Edit privileges for database objects All core tasks become faster because everything is visual and intuitive.

Calling stored procedures in MySQL? dbForge Studio makes it fast, error-free, and intuitive.

Working with SQL Server often means counting rows — orders, users, log entries. Sure, SELECT COUNT(*) … works. But what if your database tool made it easier, smarter, and less error-prone?

Enter dbForge Studio for SQL Server — a full-featured IDE that turns SQL from a repetitive task into a smooth workflow. Dive deeper into using COUNT and aggregate functions in dbForge Studio for SQL Server: https://www.devart.com/dbforge/sql/studio/sql-server-count-function.html 

Why COUNT Matters

The COUNT function is one of the most fundamental SQL operations. You use it to get totals, generate reports, or analyze data. But when queries involve JOINs, GROUP BY, or conditional filters, mistakes happen: NULLs miscounted, grouping errors, or incorrect totals. Suddenly, your “simple” query requires extra checks.

dbForge — Built for Smarter SQL

dbForge Studio for SQL Server isn’t just an editor — it’s a a comprehensive IDE designed to make developers and DBAs more productive.

Here’s how it helps with COUNT and other aggregate functions:

Autocomplete and inline hints — fewer typos, faster query writing.

Smart aggregation support — COUNT, SUM, AVG, and more, with proper guidance for GROUP BY and WHERE clauses.

Visual tools and navigation — browse tables, columns, and relationships without losing focus on your logic.

A CROSS JOIN is a type of join that combines every row from one table with every row from another table, producing a Cartesian product. This means you get all possible combinations of rows between the tables.

SQL CROSS JOIN is powerful for exploring relationships between datasets, generating test or sample data, and building pivot tables or matrix-style outputs. But they can also create very large result sets, so careful planning is essential to avoid performance issues.

Deleting tables is a common task — but DROP TABLE goes further than just clearing data. It removes the table entirely, along with all its contents and dependencies.

Choosing a free SQL database tool isn’t just about saving money — it’s about strategy. The article  Best Free SQL Database Software explores exactly that and helps you navigate the options.

Key takeaways:

It reviews the most popular database systems — Microsoft SQL Server, MySQL/MariaDB, Oracle Database, and PostgreSQL.

It highlights top free GUI tools for different RDBMSs.

The final section focuses on three main criteria for choosing the right tool: compatibility, functionality, and scalability.

Data loss isn’t just inconvenient — it can stop business operations in their tracks. Even with all safety nets in place, #SQL Server databases remain vulnerable to corruption, crashes, and accidental deletions. That’s where recovery tools come in.

Discover how SQL recovery software ensures your data stays safe, accessible, and intact — even when things go wrong. This guide breaks down the most powerful tools on the market and helps you find the right one for your needs.

👉 Read the full article:https://www.devart.com/dbforge/sql/transaction-log/sql-recovery-tools-database.html

💡 What you'll learn: 🔹 Why even well-maintained databases can become corrupted — and how to act fast. 🔹 Top #SQL recovery tools: what they do best and where they fall short. 🔹 How dbForge Transaction Log for SQL Server restores data from damaged or deleted records with precision. 🔹 Step-by-step recovery tips to minimize downtime and data loss. 🔹 How to ensure integrity, prevent future issues, and keep your systems resilient.

It’s not just about convenience when choosing a SQL Server tool. The right toolkit affects how quickly and accurately you can write, debug, and maintain queries — and how efficiently your database team works.

dbForge Studio for SQL Server, SSMS, and Azure Data Studio each offer different features, but picking the right solution can simplify workflows, reduce errors, and save time. Read more: https://www.linkedin.com/pulse/choosing-right-sql-toolkit-comparing-dbforge-studio-ssms-subotin-nb4pf/

Why Choosing the Right SQL Tool Matters

A strong SQL development tool should provide: • Smart code editing with IntelliSense, syntax highlighting, and formatting • Query performance analysis with dashboards and execution plans • Data and schema comparison to keep environments aligned • Source control and CI/CD integration for team collaboration • Cross-platform support for distributed teams

Comparing SSMS and Azure Data Studio

SSMS is the default choice for many teams — free, familiar, and Windows-only. But it lacks modern productivity features, advanced debugging, and integrated DevOps tools. Developers needing intelligent code completion or AI-powered query suggestions may find it limiting.

Azure Data Studio is lightweight and cross-platform, with built-in notebooks and extension support. However, it’s not designed for large-scale database management and lacks enterprise features.

Tools That Help

Automation and integration are key to productivity. dbForge Studio for SQL Server offers a comprehensive environment for database development, management, and DevOps integration — combining advanced SQL editing, data comparison, debugging, and deployment tools in one unified platform.

Many teams believe the most challenging part of migration is moving data. But the real challenge begins after migration — when maintaining consistency, accuracy, and integrity across systems becomes critical.

Data consistency ensures that every system — CRM, billing, or analytics — reflects the same truth. Without it, dashboards mislead, compliance breaks, and customer trust suffers. Read more: https://www.linkedin.com/pulse/data-migration-isnt-hard-part-consistency-stanislav-meninnik-v8fee Solutions like dbForge SQL Tools simplify schema comparison, change management, and synchronization — all integrated with version control and CI/CD pipelines.

A new version of dbForge 2025.2 introduces major upgrades, including an enhanced AI Assistant, new server and cloud support, improved UI/UX, and significant advancements across dbForge tools for SQL Server, MySQL/MariaDB, Oracle, and PostgreSQL.

✨ Highlights:

AI Assistant: automatic error analysis, web search, real-time responses - https://www.devart.com/dbforge/ai-assistant/ 

Expanded database & cloud support: Microsoft Fabric, new Azure SQL syntax constructs, MySQL 9.4, MariaDB 12

Productivity & UX:  automatic data type selection, new shortcuts, alias refactoring

Advanced features: Modifiers for the JSON datatype in Oracle, OPENROWSET in SQL Server, Entra ID authentication

Searching through large amounts of text data can be tricky. MySQL's Full-Text Search allows you to perform powerful searches on text-based columns, going beyond simple LIKE queries. You can search in natural language, use Boolean operators, and even expand queries automatically to include related terms.

Full-Text Search is ideal for applications dealing with articles, product descriptions, reviews, or any content-rich database.

With Full-Text Search, you can:

Perform searches using natural language or Boolean mode.

Natural Language Search: type queries like normal sentences.

Boolean Search: refine queries using operators such as +, -, > and <.

Query Expansion: automatically include related terms.

🔗 Read the full article: https://www.devart.com/dbforge/mysql/studio/mysql-fulltext-search.html

Working with Full-Text Search can be complex. The good news: dbForge Studio for MySQL makes it easier with a visual interface to create indexes, perform searches, and optimize queries.

With dbForge Studio, you can:

Build or modify Full-Text indexes visually.

Run searches and view results in an intuitive grid.

Optimize performance and troubleshoot queries.

Apply changes seamlessly across databases.

Triggers in MySQL are automated rules that run SQL whenever you insert, update, or delete data in a table. While constraints handle simple checks, triggers take care of more complex validations — like syncing a sales_totals table or recording every user role change in an audit_log.

Most of your business logic should live in the application layer. But triggers ensure that some rules are enforced immediately, right when your database changes. This can save you from inconsistencies and keep critical processes running smoothly.

Why Working With Triggers Can Be Tough

Triggers are powerful, but they can also be tricky to manage, debug, and optimize — especially as your database grows. That’s where dbForge Studio for MySQL comes in. 🔗 Read the full article: https://www.devart.com/dbforge/mysql/studio/triggers-in-mysql.html

How dbForge Studio Makes Life Easier

With dbForge Studio, you get a visual MySQL management interface that lets you:

Build or modify tables and triggers visually using the Table Designer

Generate SQL scripts automatically and catch syntax errors in real time

Step through trigger logic with a built-in debugger to find issues quickly

Deploy changes effortlessly using Schema Compare and Sync

Optimize performance with Explain Plan to see exactly how your triggers run