Top GUIs for SQL databases in 2024

The Superblocks Team

The Superblocks Team

Updated May 1, 2024

7 min read


Organizations rely heavily on SQL databases to store and analyze critical information. However, working directly with SQL (structured query language) can be complex and restrictive, especially for non-technical users, often leading to a situation where only engineers can access and manipulate data.

SQL GUIs (graphical user interfaces) simplify database interactions, enabling users to execute queries, visualize data, and perform various tasks through a user-friendly interface. Traditional SQL GUI tools, such as DBVisualizer or DBeaver, are essentially SQL clients that require users to write raw SQL queries. While valuable, these tools have limitations in customization, scalability, and integration with other data sources.

An alternative approach is to build a full application on top of SQL, allowing non-technical users to read and write a subset of data without writing SQL queries. Low-code tools like Superblocks are especially useful here, as they allow developers to quickly build CRUD (Create, Read, Update, Delete) applications with minimal effort.

In this guide, we'll discuss the various SQL GUI options can help organizations streamline database management, empower non-technical users, and unlock the full potential of their data.


Used By

Used For

Used With

Used Because


Applications are built by developers, used by anyone with access provisioned

Analytics Dashboards, Database Management Portals, Read/Write Interfaces, Internal Tools, Partner Portals

Any relational or non-relational database, as well as API

You want to build complex, multi-use tools on top of your data


Database admins, technical users

Querying, Management, Modeling Entity Relationships

Any database through native integrations or JDBC drivers

You want a versatile tool for managing and analyzing data


Database admins, technical users

Querying, Management, Modeling Entity Relationships, Data Visualization

Any database through JDBC drivers

You want a community-supported tool for managing diverse sets of data


Database admins, technical users

Querying, Management, Modeling Entity Relationships, Monitoring, Data Visualization

Any relational database

You want to use a web-based database management tool

SQL Workbench

Database admins, technical users

Querying, Management, Modeling Entity Relationships

Any database through JDBC drivers

You want a lightweight and customizable SQL GUI tool

Key considerations

When evaluating SQL GUI tools, there are several key considerations to keep in mind. These factors can greatly impact the usability, functionality, and overall value of the tool for your organization: 

  • Ease of use and accessibility: Interfaces for working with SQL should be intuitive and user-friendly, enabling both technical and non-technical users to navigate and interact with the database effortlessly.
  • Data visualization and reporting: A powerful SQL interface should offer meaningful data visualization capabilities, allowing users to create interactive charts, graphs, and dashboards for making data-driven decisions about their business.
  • Access control and security: Organizations need to ensure that the chosen SQL GUI tool offers granular access control and robust security features to protect sensitive data.
  • Customization and extensibility: Consider a SQL GUI that allows for extensive customization and extensibility.
  • Integration with multiple data sources: A SQL GUI should ideally seamlessly integrate with various data sources beyond just SQL databases.

Which of these you prioritize will depend on the exact needs of your organization - like who needs access, the complexity of the too

Overview of Traditional SQL GUIs

DB Visualizer

DBVisualizer is a popular desktop app that provides a comprehensive SQL GUI for database management and querying.

  • Strengths: Supports a wide range of databases like Oracle, MySQL, Postgres, MongoDB and more, advanced visual query editor with features like autocomplete and bookmarks, as well as capabilities including query optimization and data editing. DBVisualizer also comes with security features such as dat encryption and restricted data access.
  • Limitations: May require more technical expertise to use effectively, lacks web-based collaboration features, and is limited to a single database connection at a time.


DBeaver is an open-source, cross-platform database management tool with SQL GUI capabilities.

  • Strengths: Supports a variety of databases like MySQL, MariaDB, Postgres, SQLite and more, benefits from the open source community, and offers features like data export/import, SQL assist/auto-complete, data editing, a visual query builder, data visualization tools and entity-relationship (ER) diagrams.
  • Limitations: May have a steeper learning curve, significant SQL knowledge required, lacks advanced data visualization options, and more difficult to maintain and support.


OmniDB is a lightweight, open-source SQL GUI tool designed for database management and development.

  • Strengths: Offers a user-friendly interface, and provides a SQL editor with syntax highlighting and autocomplete, a visual query builder, database monitoring dashboards, and data exports with visualization formats.
  • Limitations: Supports a smaller set of databases, may lack ability to scale with organizations, is limited in it's visualization capabilities and is more difficult to maintain and support.


SQLWorkbench/J is a versatile and popular database management tool that allows its users to view, manage, and query all their databases in one place.

  • Strengths: Is compatible with various operating systems, can work with multiple databases at once, provides a rich set of SQL code generating, highlighting and syntax checking capabilities, and offers a robust set of database management tools.
  • Limitations: SQL Workbench's user interface can be unintuitive compared to similar tools, it can have more limited support for specific database types, and can be decently resource intensive.

Limitations of traditional SQL GUIs

While traditional SQL GUI tools offer valuable features, as a whole they often come with limitations that can hinder productivity and restrict the potential of SQL interfaces. Some common challenges include:

  1. Steep learning curve: Many SQL GUI tools require a significant amount of technical expertise to use effectively, limiting their accessibility to non-technical users. This can lead to a dependence on engineering teams and hinder the democratization of data access and analysis.
  2. Limited customization and extensibility: Traditional SQL GUIs often provide limited options for customization and extensibility. Users being limited to preset visualizations may struggle to tailor the interface to their specific needs or integrate with other tools and services, restricting the adaptability of the platform.
  3. Lack of advanced data visualization: SQL GUI tools may offer basic data visualization capabilities, but often fall short in terms of interactive dashboards and the ability to combine data from multiple sources. This can dampen data-driven decision-making and limit the insights that can be derived from the data.
  4. Inadequate access control and security: SQL GUIs may lack granular access control and critical security features, exposing sensitive data to potential breaches or unauthorized access. This can be a significant concern for organizations dealing with sensitive or regulated data.

Introducing Superblocks: A SQL GUI without limitations

Superblocks is an internal app development platform that offers powerful SQL GUI capabilities along with a range of features that address the limitations of traditional solutions. Additionally, Superblocks is capable of addressing internal app uses beyond SQL interfaces, making it a holistic choice for your organization. Here's how Superblocks stands out:

  1. Powerful SQL capabilities with a user-friendly interface: Superblocks combines powerful SQL capabilities with a user-friendly interface. Connect to any database type easily, utilize Table Bulk Edit to build SQL queries via forms without writing raw SQL, and leverage features like Table Inline Editing.
  2. Powerful data visualization and reporting: Superblocks offers a rich set of data visualization options, including interactive charts, graphs, and dashboards. Users can easily create visually appealing and informative reports that facilitate data-driven decision-making. The platform also allows for the combination of data from multiple sources, providing a comprehensive view of the organization's data landscape.
  3. Seamless integration with multiple data sources: Superblocks enables seamless integration with various SQL databases, cloud platforms,  and other data sources, such as APIs, monitoring, GPT-4, and more. and external services. This allows users to pull in, and combine, and stream data from different sources effortlessly, breaking down data silos and enabling a holistic analysis of the organization's data.
  4. Granular access control and security: Superblocks prioritizes data security and provides granular access control mechanisms. Administrators can define user roles and permissions, ensuring that sensitive information remains protected and accessible only to authorized users to streamline usability and access. This means support teams can change a customer status in the DB, upgrade subscriptions, etc without needing to involve an engineer.
  5. Extensive customization and extensibility: Superblocks offers extensive customization options, allowing users to tailor the SQL GUI to their specific needs. The platform supports custom components, ability to infinitely extend with code by writing Python and NodeJS to customize logic, and integration with other tools and services, enabling organizations to expand the functionality of their SQL GUIs and adapt to evolving requirements.

The advantages of using Superblocks

Building a multi-source data dashboard: Superblocks enables organizations to create comprehensive dashboards that combine data from multiple sources, such as PostgreSQL, MySQL, cloud platforms, monitoring tools, and more. With its drag-and-drop interface and powerful data visualizations, users can easily create interactive charts, graphs, and tables that provide a holistic view of their operations. With Superblocks, users are able to work across all of these sources rather than be limited to a single database when using traditional SQL GUIs. By integrating data from all of these sources, Superblocks empowers users to make data-driven decisions based on a complete picture of their business.

Creating custom workflows: Superblocks allows companies to streamline their business processes by creating applications with custom workflows. For example, an e-commerce company can create a custom application that integrates with Zendesk, Salesforce, and Snowflake to streamline order refunds, manage inventory, and track revenue. Superblocks also enables scheduled jobs, such as sending daily order data to a fulfillment center or resetting coupon codes weekly. Additionally, REST endpoints can be created to generate sales reports for finance teams, providing insights into different sales channels.

Enabling self-service data exploration for non-technical users: Superblocks empowers non-technical users, such as business analysts or product managers, to explore and analyze data independently without relying on engineering support. With its intuitive interface and drag-and-drop components, users can easily retrieve desired data and create interactive dashboards and reports without writing complex SQL queries. Superblocks' granular access control ensures that users have access only to relevant data, maintaining data security and privacy. By enabling self-service data exploration, Superblocks democratizes data access and promotes data-driven decision-making across the organization.


Choosing the right SQL GUI is crucial for organizations looking to unlock the full potential of their databases. While traditional tools like DBVisualizer, DBeaver, OmniDB, or SQL Workbench/J offer reasonable capabilities, they may have limitations in terms of customization, scalability, and integration with other data sources.

By leveraging the capabilities of Superblocks, organizations can unlock the true potential of their SQL databases and build custom applications that drive business value with any data across the organization without limits.

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