SQLyog Alternatives (January 2026)

SQLyog Ultimate is the best MySQL GUI for database developers. Compare and synchronize data, manage SQL queries, and keep your database safe.

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1.
Monyog | Monitor MySQL Databases Configuration in Real-Time | Webyog
https://webyo
.com/product/monyog/

Monitor MySQL databases in real-time. Allows users to track MySQL configuration changes and monitor locked and long running queries.

2.
MySQL Tools for Database Management and Administration
https://www.devar
.com/dbforge/mysql/

GUI tools for MySQL and MariaDB database developers and administrators designed for database and data management, schema comparison and query building.

3.
Navicat Premium | Connects to multiple databases on a single GUI
https://navica
.com/en/products/navicat-premium/

Navicat Premium allows user to connect MySQL, Redis, MariaDB, MongoDB, SQL Server, SQLite, Oracle & PostgreSQL databases within a single application, includes data modeling feature.

4.
MySQL Data Compare Tool to Diff and Sync MySQL Databases
https://www.devar
.com/dbforge/mysql/datacompare/

Compare MySQL data from two databases, analyze differences, and schedule MySQL data comparison. Try dbForge Data Compare tool for MySQL for free!

5.
SQL Client and Database Management Software - DbVisualizer
https://www.dbvi
.com/

DbVisualizer is the SQL Client and Database Tool with the highest user satisfaction. It connects to all popular databases and runs on Win, macOS & Linux.

6.
The SQL Editor and Database Manager Of Your Dreams | Beekeeper Studio
https://www.beekeeperstudi
.io/

Use Beekeeper Studio to query and manage your relational databases, like MySQL, Postgres, SQLite, and SQL Server.

7.
The Ultimate Client, IDE and GUI for MongoDB | Studio 3T
https://studio3
.com/

Autocomplete queries in the mongo shell, drag and drop, or even query with SQL. Try Studio 3T, your ultimate GUI for MongoDB.

8.
DBeaver PRO | One tool for all data sources
https://dbeave
.com/

Use advanced features of DBeaver PRO to explore, process, and administrate all possible SQL, NoSQL, and cloud data sources.