OpenDBViewer vs HeidiSQL

Struggling to choose between OpenDBViewer and HeidiSQL? Both products offer unique advantages, making it a tough decision.

OpenDBViewer is a Development solution with tags like database, viewer, query, sql.

It boasts features such as View data and database schema, Execute SQL queries, Connect to MySQL, MariaDB, SQLite, PostgreSQL, MongoDB, Cassandra, Redis, Microsoft SQL Server, Oracle, DB2, Export query results to CSV or JSON, Save queries for reuse, Dark and light theme and pros including Free and open source, Simple and easy to use interface, Supports many database types, Fast query execution, Cross-platform.

On the other hand, HeidiSQL is a Development product tagged with mysql, mariadb, sql-server, postgresql, database, open-source.

Its standout features include Graphical user interface for managing MySQL, MariaDB, SQL Server and PostgreSQL databases, Supports multiple database connections, Browse and edit database objects like tables, views, procedures, functions, triggers, events, Run SQL queries with syntax highlighting and autocompletion, Export query results to CSV, HTML, XML, JSON, Excel and more, User access management, Database backup and restore, Visual database design with drag and drop, SSL connections for secure data transfer, Cross-platform - works on Windows, Mac and Linux, and it shines with pros like Free and open source, Easy to use intuitive interface, Lightweight and fast, Supports multiple database types, Active development and community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

OpenDBViewer

OpenDBViewer

OpenDBViewer is a free, open source database viewer and query tool for Windows. It allows users to easily connect to databases like MySQL, MariaDB, SQLite, PostgreSQL, MongoDB, Cassandra, Redis, Microsoft SQL Server, Oracle, and DB2 to view data and execute SQL statements.

Categories:
database viewer query sql

OpenDBViewer Features

  1. View data and database schema
  2. Execute SQL queries
  3. Connect to MySQL, MariaDB, SQLite, PostgreSQL, MongoDB, Cassandra, Redis, Microsoft SQL Server, Oracle, DB2
  4. Export query results to CSV or JSON
  5. Save queries for reuse
  6. Dark and light theme

Pricing

  • Open Source
  • Free

Pros

Free and open source

Simple and easy to use interface

Supports many database types

Fast query execution

Cross-platform

Cons

Limited to viewing and querying data (no editing)

Lacks some advanced database administration features

Not as full-featured as commercial database tools


HeidiSQL

HeidiSQL

HeidiSQL is a free, open source SQL database management tool for Windows that supports MySQL, MariaDB, SQL Server and PostgreSQL databases. It provides a simple interface for browsing, creating and editing databases, tables, views, procedures, triggers and more.

Categories:
mysql mariadb sql-server postgresql database open-source

HeidiSQL Features

  1. Graphical user interface for managing MySQL, MariaDB, SQL Server and PostgreSQL databases
  2. Supports multiple database connections
  3. Browse and edit database objects like tables, views, procedures, functions, triggers, events
  4. Run SQL queries with syntax highlighting and autocompletion
  5. Export query results to CSV, HTML, XML, JSON, Excel and more
  6. User access management
  7. Database backup and restore
  8. Visual database design with drag and drop
  9. SSL connections for secure data transfer
  10. Cross-platform - works on Windows, Mac and Linux

Pricing

  • Free
  • Open Source

Pros

Free and open source

Easy to use intuitive interface

Lightweight and fast

Supports multiple database types

Active development and community support

Cons

Lacks some advanced database administration features

Not designed for huge enterprise databases

Limited to Windows for the GUI app (command line available for other platforms)