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  5. DBeaver vs SQLyog

DBeaver vs SQLyog

OverviewDecisionsComparisonAlternatives

Overview

DBeaver
DBeaver
Stacks557
Followers731
Votes67
GitHub Stars46.0K
Forks3.9K
SQLyog
SQLyog
Stacks22
Followers48
Votes0
GitHub Stars986
Forks165

DBeaver vs SQLyog: What are the differences?

DBeaver and SQLyog are both popular database management tools used by developers and database administrators. Each tool has its own set of features and capabilities that cater to different needs. Below are the key differences between DBeaver and SQLyog:

  1. User Interface: DBeaver offers a more comprehensive and user-friendly interface with a wide range of customization options, making it suitable for both beginners and advanced users. In contrast, SQLyog has a simpler interface with fewer customization options, which may appeal more to users looking for a streamlined experience.

  2. Supported Databases: DBeaver supports a wide variety of databases, including popular ones like MySQL, PostgreSQL, Oracle, and SQL Server, along with NoSQL databases like MongoDB and Cassandra. On the other hand, SQLyog primarily focuses on MySQL databases, offering specific features tailored to MySQL management.

  3. Community Support: DBeaver has a larger and more active user community, resulting in more frequent updates, bug fixes, and a wide range of online resources and forums for troubleshooting and assistance. SQLyog, while also supported by a dedicated user base, may have fewer community resources available for support.

  4. Tools and Features: DBeaver provides a comprehensive set of database management tools and features, including data modeling, visual query building, and version control integration, making it ideal for complex database tasks and projects. SQLyog, on the other hand, offers a more focused set of tools primarily aimed at database administration and query optimization for MySQL databases.

  5. Cross-Platform Compatibility: DBeaver is available on multiple operating systems, including Windows, macOS, and Linux, providing users with flexibility and convenience in terms of platform choice. In comparison, SQLyog is primarily designed for Windows operating systems, which may limit its usability for users on other platforms.

  6. Licensing and Pricing: DBeaver is an open-source tool that is free to use, making it an attractive option for users seeking cost-effective database management solutions. SQLyog, on the other hand, offers a free community edition with limited features, while the full version with additional functionalities requires a paid license, making it more suitable for users with specific commercial requirements.

In Summary, DBeaver and SQLyog differ in terms of user interface, supported databases, community support, tools and features, cross-platform compatibility, and licensing/pricing, catering to different user preferences and requirements.

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Advice on DBeaver, SQLyog

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments

Detailed Comparison

DBeaver
DBeaver
SQLyog
SQLyog

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

It is the most complete MySQL management, GUI solution for DBAs & Devops with powertools like scheduled backups, SSH and HTTP tunneling.

-
Sql;Easy;GUI;Performance
Statistics
GitHub Stars
46.0K
GitHub Stars
986
GitHub Forks
3.9K
GitHub Forks
165
Stacks
557
Stacks
22
Followers
731
Followers
48
Votes
67
Votes
0
Pros & Cons
Pros
  • 22
    Free
  • 13
    Platform independent
  • 9
    Automatic driver download
  • 7
    Import-Export Data
  • 6
    Simple to use
No community feedback yet
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Presto
Presto
MariaDB
MariaDB
Java
Java
Apache Hive
Apache Hive
Microsoft SQL Server
Microsoft SQL Server
macOS
macOS
MySQL
MySQL
SQLite
SQLite
Boundary
Boundary
Woopra
Woopra
Clever Cloud
Clever Cloud

What are some alternatives to DBeaver, SQLyog?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

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