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DBeaver

378
500
+ 1
56
HeidiSQL

116
216
+ 1
6
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DBeaver vs HeidiSQL: What are the differences?

DBeaver: A Universal Database Tool. 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; HeidiSQL: GUI client for MariaDB, MySQL, Microsoft SQL Server and PostgreSQL. HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

DBeaver and HeidiSQL belong to "Database Tools" category of the tech stack.

DBeaver is an open source tool with 9.56K GitHub stars and 796 GitHub forks. Here's a link to DBeaver's open source repository on GitHub.

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Pros of DBeaver
Pros of HeidiSQL
  • 17
    Free
  • 11
    Platform independent
  • 8
    Automatic driver download
  • 6
    Import-Export Data
  • 4
    Simple to use
  • 4
    Wide range of DBMS support
  • 4
    Move data between databases
  • 1
    SAP Hana DB support
  • 1
    Themes
  • 1
    Client application which is lightweight
  • 1
    Easy configuration
  • 1
    Keep queries after execution
  • 1
    Connect to multiple servers on same client
  • 1
    Run multiple queries simultaneously
  • 1
    Multiple query tabulations

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Cons of DBeaver
Cons of HeidiSQL
    Be the first to leave a con
    • 1
      Mac OS/ Linux incompatible

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    What is DBeaver?

    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.

    What is HeidiSQL?

    HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention DBeaver and HeidiSQL as a desired skillset
    CBRE
    United Kingdom of Great Britain and Northern Ireland England Feltham
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    Netherlands Noord-Holland Amsterdam
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    United States of America Texas Dallas
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    Netherlands Noord-Holland Aalsmeer
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    United Kingdom of Great Britain and Northern Ireland England London
    What companies use DBeaver?
    What companies use HeidiSQL?
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    What tools integrate with DBeaver?
    What tools integrate with HeidiSQL?

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    What are some alternatives to DBeaver and HeidiSQL?
    DataGrip
    A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
    DbVisualizer
    It is the universal database tool for developers, DBAs and analysts. It is the ultimate solution since the same tool can be used on all major operating systems accessing a wide range of databases.
    TablePlus
    TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.
    MySQL WorkBench
    It enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort.
    Slick
    It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
    See all alternatives