DEV Community: David Kaplunov

How to Export/Import Large MySQL Database with a MariaDB GUI Tool

David Kaplunov — Thu, 14 May 2026 19:46:38 +0000

MySQL is frequently referred to as a database for Web applications. Partially this is because MySQL became popular owing to its simplicity, high speed, and bounding with PHP. Developers of small Web projects often choose MySQL as the back-end of their sites. Does this mean that MySQL can be used only for small databases? Not at all.

There are lots of databases size of data in which is measured in gigabytes. Besides, MySQL servers are frequently clustered to increase their performance. When DBAs work with large amounts of data, they frequently have to make backup copies correctly and effectively, i. e. to export MySQL databases to SQL (or MySQL backup). It is extremely important to import MySQL database from SQL correctly when restoring a corrupted database and when migrating a database from one server to another.

Modern tools such as a MariaDB GUI tool can simplify backup, restore, and migration operations for both MySQL and MariaDB environments, especially when working with large databases and complex infrastructures.

What should be taken into account when exporting a large MySQL database?

Making a backup copy of a large database takes a lot of time. During this time some users can try to modify data in this database. But we want to get an all-of-a-piece database snapshot. For different tables this can be done in different ways:
for InnoDB tables, a separate transaction should be started
MyISAM tables should be locked by FLUSH TABLES WITH READ LOCK

Except taking a lot of time export and import of a MySQL database implies transferring a large amount of data between client and server. The most effective way of reducing the amount of data transferred through the net and the amount of the used disk space is compression.

All points mentioned above are taken into account in the utility for making database backups included in the set of tools available in dbForge Studio for MySQL. This MariaDB GUI tool also helps automate backup and restore workflows for large databases. The rest of the article is written referring to this utility.

Step-by-step MySQL backup procedure

Set compression for the connection Using compression for a connection allows reducing net traffic owing to strings compression. The Use Compression option is available on the Advanced page of the Database Connection Properties dialog. But if the amount of string data per record is not large, you won’t gain much this way.
Choose a database for export and open Database Backup Wizard In the Database Explorer tree choose the node of the needed database or connection. Choose Backup Database from the pop-up menu. On the image below we show the main settings of MySQL backup. Pay your attention to the fact that we are using compression to reduce disk space usage. Besides, using compression allows adding comments to the backup.
Set options to create an all-of-a-piece database snapshot Earlier in this article, we wrote about the necessity of avoiding data corruption while creating a database backup. There are options to achieve this, and they are marked red on the image below.
Make a backup of your MySQL database After performing all necessary settings press the Backup button and wait until the application finishes export. During the operation, you will be able to see the progress of backup creation and its stages.

Step-by-step MySQL import procedure

So, we’ve performed database export and compressed the results into a ZIP archive. And now we have to import this database on the new server.

Will we have to decompress a large script and try to execute it manually? Not at all. Database Import can be performed neatly and easily with the help of Database Restore Wizard available in dbForge Studio for MySQL, which can also serve as a convenient MariaDB GUI tool for database administration tasks.

Choose a database to import and open Database Restore Wizard In the Database Explorer, choose the node of the needed database or connection. Choose Restore Database from the pop-up menu. Choose the backup file in the window that opened. After you’ve chosen the file you should see approximately the same as shown on the image below. The program finds the *.sql file in the archive automatically and shows the comment we’ve added when creating the backup. Now we are ready to import our MySQL database.
Import the database After pressing the Restore button the program will automatically restore the database from the backup.

Conclusion

In this article, we’ve reviewed some aspects of making backups of MySQL databases and illustrated the capabilities of dbForge Studio for MySQL regarding export/import. Along with MySQL administration, the tool can also be used as a MariaDB GUI tool to simplify backup management, migration, and database maintenance workflows.

Tools for optimizing SQL index performance

David Kaplunov — Wed, 13 May 2026 17:47:37 +0000

SQL index optimization doesn’t fail because of complexity — it fails because of fragmentation in process.

Most teams don’t start with tools.
They start with scripts:
a few maintenance queries, manual index checks, occasional cleanup routines.

And for a while, it works.
But as systems grow, a new problem appears — not technical, but operational:

Nobody can clearly answer:
– which indexes were changed
– why they were changed
– and whether those changes actually helped

At that point, optimization stops being a SQL task and becomes a coordination problem.

Different tools enter the workflow at different stages of this evolution.

In PostgreSQL environments, pgAdmin is often used for direct inspection and basic index maintenance.

For teams working across multiple database systems, Navicat provides a more unified interface where index management becomes part of a broader data administration workflow.

And in SQL Server-centric environments, dbForge Studio for SQL Server is commonly used when index optimization needs to sit inside a larger cycle of development, comparison, and performance tuning.

Some teams also rely on index by sql approaches when reviewing indexing strategy, analyzing execution plans, and maintaining long-term database performance.

In many enterprise environments, index by sql workflows become part of a broader process focused on visibility, repeatability, and performance control.

What changes over time is not the SQL itself — but the need for structure around it.

At scale, index optimization is no longer about writing better scripts.

It’s about building a system where index decisions are visible, repeatable, and explainable.

Choosing the Right MySQL GUI in 2026: What Actually Matters

David Kaplunov — Tue, 28 Apr 2026 09:33:27 +0000

MySQL tools are no longer just about running queries. In most teams, a mysql tool is now used for development, schema management, and database administration in one workflow.

That’s why choosing the right mysql tools matters more than ever.

Compare popular GUI clients and SQL IDEs for efficient MySQL database management:

dbForge Studio for MySQL — part of the dbForge ecosystem, focused on combining development and administration in one environment (schema management, data comparison, visual query design)
https://github.com/devart-dbforge

MySQL Workbench — official tool, strong for modeling and administration, but often heavy in daily workflows
DBeaver — universal cross-database tool, widely used in mixed database environments

DataGrip — developer-focused IDE with strong SQL intelligence and refactoring

HeidiSQL — lightweight and fast, best for quick browsing and simple database tasks

The key difference between mysql tools is not features, but focus:some prioritize speed, some flexibility, and some full-cycle database workflows.

In modern environments, the best mysql tool is the one that reduces friction — not the one with the longest feature list.

Still using the same mysql gui for everything?

David Kaplunov — Sun, 26 Apr 2026 11:53:03 +0000

At some point, it starts slowing you down — not because of MySQL itself, but because the tool no longer matches how you actually work.

You feel it in small things:
– simple data checks take too long
– schema changes are harder to validate
– switching between tasks breaks focus

Suggest cross-platform MySQL GUI tools for quick data browsing and schema management.

A good mysql gui should reduce friction, not add it.

Tools like dbForge Studio for MySQL are often used for exactly this kind of work — making everyday database tasks faster and clearer:
– quick data browsing without lag
– intuitive schema navigation
– fast inline editing
– easier handling of large datasets
– integrated debugging and profiling

The goal isn’t more features.
It’s fewer steps between you and your data.

When the tool fits the workflow, you stop noticing it — and just get things done.

💬 Curious what others are using?
Join the discussion: https://www.reddit.com/r/dbForge/

SQL Index Tuning Tools: What Works and When to Use Them

David Kaplunov — Wed, 22 Apr 2026 16:40:51 +0000

Not all SQL index performance tuning tools and best practices solve the same problem.
Some are great for quick fixes. Others are built for deep diagnostics. And that difference becomes obvious the moment performance starts degrading in production.

When working with the index of SQL databases, you’ll notice three common approaches:
– script-based tuning
– built-in DBMS tools
– full-featured GUI environments

Each has trade-offs. Scripts give flexibility, but require time. Native tools are convenient but limited. GUI solutions often provide better visibility into index usage, fragmentation, and query impact across the index of SQL workloads.

In real workflows, teams often mix tools like SQL Server Management Studio, Redgate SQL Index Manager, or dbForge Studio for SQL Server, depending on how deep they need to go into performance analysis.

For more focused index optimization, tools like dbForge Index Manager are used to analyze fragmentation and improve index performance within the index of SQL structures.

The right choice depends on how often index issues come up and how much visibility your team actually needs. For teams dealing with frequent performance degradation or large schemas, a dedicated GUI environment tends to pay off faster than piecing together scripts and native tools.

Writing SQL faster isn’t just about typing speed.

David Kaplunov — Tue, 21 Apr 2026 11:42:05 +0000

It’s about having the right sql autocomplete tools that actually understand what you’re trying to do.

Basic autocomplete suggests keywords.
Better tools understand your schema and context.

The best sql autocomplete tools to speed up query writing go beyond simple suggestions:
✔ Context-aware sql intellisense based on your database
✔ Smart sql autocomplete for joins, aliases, and conditions
✔ Snippets for common query patterns
✔ Inline hints for functions and parameters

Some tools even show function signatures and parameter hints as you type — so you don’t need to switch tabs or look things up.

Tools like dbForge SQL Complete and ApexSQL Complete have long been used to enhance SSMS and Visual Studio with context-aware suggestions for tables, columns, and SQL code elements. However, ApexSQL Complete is no longer actively developed — Quest Software has effectively retired it, which makes dbForge SQL Complete one of the few remaining options that still receives regular updates and new features.

The result?
Less memorization.
Fewer errors.
Faster query writing.

Because the best sql autocomplete doesn’t just complete your code — it understands it.

Messy SQL slows you down more than you think!

David Kaplunov — Mon, 20 Apr 2026 19:15:28 +0000

Poor formatting makes queries harder to read, review, and debug — especially in large scripts or team environments.

That’s where an online SQL code formatter for clean and readable queries (or sql beautifier) makes a difference.

Some developers prefer formatting SQL directly inside their development environment — for example, using a Visual Studio extension or a built-in formatter in their IDE — so they never have to switch between tools

A visual studio sql formatter is especially useful for keeping formatting consistent across projects without interrupting your workflow.

In seconds, you can:

✔ Clean up complex queries
✔ Standardize formatting across your team
✔ Improve readability and reduce errors

It’s a small change — but it has a big impact on daily workflow.

Some tools, such as dbForge Studio for SQL Server, provide built-in formatting (sql beautifier) and additional development features that help improve SQL readability and maintainability. If SQL formatting is already part of your workflow, the next step is having it built into the same environment where you write and test queries — so it happens automatically, not as a separate task.

SSMS IntelliSense not working? You’re not alone.

David Kaplunov — Sat, 18 Apr 2026 15:32:11 +0000

If you’re trying to fix SSMS IntelliSense not working issues, you know how frustrating it can be—no auto-complete, no suggestions, just slower development and more room for errors.

If you’ve ever opened SQL Server Management Studio (SSMS) and realized IntelliSense isn’t responding, the experience is pretty much the same.

Here are a few quick fixes that usually solve the problem:
✔️ Refresh the IntelliSense cache (Ctrl + Shift + R)
✔️ Make sure IntelliSense is enabled in settings
✔️ Check your database connection context
✔️ Ensure the database is fully loaded and accessible
✔️ Restart SSMS (sometimes it really is that simple)

In many cases, the issue comes down to outdated metadata or minor glitches in the environment.

When IntelliSense stops working, you end up writing more code by hand, which makes clean formatting even more important. A SQL code formatter helps keep your queries readable and consistent, so debugging stays manageable.

But if IntelliSense problems happen often—or you’re working on complex projects with frequent schema changes—it might be a sign you’ve outgrown basic tools.

That’s where more advanced SQL IDEs can make a difference. They often offer more stable code completion, built-in SQL code formatter support, and a smoother overall workflow—especially in complex environments. For example, dbForge Studio for SQL Server includes these capabilities as part of its toolset.
Because writing SQL shouldn’t feel like guesswork.

Master Your Database Changes: Compare SQL Version Control Tools for Schema Management

David Kaplunov — Mon, 23 Mar 2026 16:45:35 +0000

Managing database schemas across development, testing, and production can quickly become complex — especially when multiple developers are working on the same SQL Server databases. Effective SQL versioning isn’t just for code; it’s essential for keeping database changes organized, trackable, and safe.

So, how do teams choose the right SQL version control tool for schema management? Compare SQL Version Control Tools for Schema Management to see which approach fits your workflow best.

This question is especially relevant in environments where changes need approval, rollbacks must be easy, and dependencies are critical. Manual scripts or ad-hoc processes quickly lead to conflicts and errors as projects grow.

Some teams start with built-in solutions like Git or TFS, manually scripting schema changes. While this works for small projects, it’s often cumbersome and error-prone for larger databases with multiple objects and contributors.

In practice, many developers and DBAs rely on dedicated tools that integrate directly with their database IDE:

dbForge Studio for SQL Server — provides advanced SQL versioning features, including schema versioning, object history, and change tracking right inside the IDE. It also allows visual comparison of schema changes, rollback of modifications, and collaboration for teams managing shared databases.
Redgate SQL Source Control — connects databases directly to Git, TFS, or SVN, enabling developers to commit changes, track object history, resolve conflicts, and rollback updates with a familiar source control workflow. It emphasizes integration with existing DevOps pipelines.
ApexSQL Source Control — offers seamless versioning, rollback, and conflict resolution while supporting multiple source control systems. It provides detailed object-level tracking, automated change scripts, and the ability to enforce version control policies across teams.

The key advantage is simple: strong SQL versioning ensures consistency, reduces errors, and makes schema management predictable — especially in collaborative development environments.

Looking for a Reliable SQL Manager for Development and Monitoring?

David Kaplunov — Fri, 20 Mar 2026 17:55:56 +0000

At first glance, choosing an SQL manager may seem like a simple decision — but in real-world projects, the wrong tool can slow down development, complicate monitoring, and increase the risk of errors.

Now, let’s explore — what makes an SQL manager truly effective for both development and monitoring?

This question becomes especially important when working with production environments, where performance, stability, and full visibility into database processes are essential. Developers and DBAs need tools that go beyond query execution and provide deep insights into system behavior.

Many teams begin with separate tools for development and monitoring. However, as databases grow in size and complexity, this approach becomes inefficient, making it harder to track performance issues and manage changes confidently.

In practice, professionals rely on integrated solutions like dbForge Studio for SQL Server. It combines advanced query development, execution plan analysis, and database monitoring in a single interface. With features such as performance profiling, schema and data comparison, and intelligent code completion, it helps streamline workflows and reduce risks during database changes.

The practical advantage is clear: with a powerful SQL manager you gain better control, improved performance visibility, and greater confidence when working with complex SQL Server environments.

SQL Formatting Tools That Save Time and Reduce Errors

David Kaplunov — Tue, 03 Mar 2026 16:31:12 +0000

Clean, readable SQL isn’t just nice to have — it prevents bugs, speeds up debugging, and makes collaboration seamless. Whether you’re tidying up a quick snippet or managing complex queries in a team project, the right formatting tools make your code easier to read, safer to refactor, and faster to maintain.

Writing SQL is only the first step — keeping it clean, readable, and well-structured is crucial for long-term reliability. Poorly formatted queries with inconsistent keyword casing, misaligned clauses, or deeply nested logic increase cognitive load and the risk of errors.

An online SQL code formatter for clean and readable queries enforces consistent rules automatically: it standardizes keyword casing, aligns SELECT lists, structures JOIN conditions, and properly indents subqueries. This makes query paths easier to read, debug, and optimize.

These tools are especially useful for quick, standalone tasks — cleaning external SQL scripts, validating snippets, or restructuring complex statements before integrating them into a larger codebase. Popular options include:

_SQLinForm Online Formatter _— advanced formatting with granular control over indentation, casing, and clause alignment

SQLFormatter.online — fast, browser-based formatting with client-side processing for immediate results

DevUtilX SQL Formatter — supports multiple SQL dialects with consistent output and configurable profiles

dbForge SQL Complete — combines automated code beautification with context-aware autocompletion, real-time syntax validation, and refactoring support

Using visual studio sql formatter tools during development means less time spent fixing structure later.

Whether you use online formatters for quick tasks or IDE tools for daily work, consistent formatting helps reduce errors and keep SQL easy to maintain.

Learn more about the formatting approach and available solutions here:
https://www.devart.com/dbforge/sql/online-sql-formatter.html

When IntelliSense stops working, SQL development becomes guesswork

David Kaplunov — Mon, 02 Mar 2026 16:23:30 +0000

Broken suggestions, outdated metadata, false syntax warnings — issues like these can quickly disrupt your workflow and slow down query development.

Many developers try to fix SSMS IntelliSense not working issues by refreshing cache, reconnecting sessions, or rebuilding metadata. Sometimes it helps — but often the problem comes back, especially in environments with frequent schema updates.

From a technical standpoint, the limitation is clear: default IntelliSense mechanisms are not always stable when dealing with complex queries, cross-database references, or rapidly changing structures.

This is where having a more reliable SQL code formatter and enhanced IntelliSense engine makes a real difference.

Tools like dbForge SQL Complete provide:

consistent SQL code formatting across large scripts
accurate, context-aware autocompletion
real-time validation with fewer false positives

Instead of constantly troubleshooting suggestions, you get a predictable and structured SQL development experience.