22 Beste Desktop-Datenbanksoftware im Test 2026

For those seeking a reliable desktop database software solution, dbForge Edge offers an array of features tailored to the needs of developers, database administrators, and data analysts, with strong support for data and schema comparison. With support for multiple database systems, including SQL Server, MySQL, Oracle, and PostgreSQL, it provides a practical platform for managing different database environments. Whether you're striving to streamline SQL development or improve collaboration, dbForge Edge supports these needs with its AI Assistant and automation tools.

Why I Picked dbForge Edge

I picked dbForge Edge for its data and schema comparison tools, which help you spot differences between database versions and keep environments aligned. It also includes an AI Assistant that can help generate and refine SQL when you’re working through complex queries. On top of that, command-line automation and scheduling support repeatable tasks, reducing manual steps and mistakes.

dbForge Edge Key Features

In addition to data and schema comparison, dbForge Edge offers:

• Data Export/Import: Facilitates easy movement of data between databases, supporting various file formats to suit your needs.
• Source Control Integration: Provides seamless integration with version control systems, allowing for efficient tracking and management of database changes.
• Visual Query Builder: Offers a drag-and-drop interface for constructing complex SQL queries without writing code, enhancing productivity for users of all skill levels.

dbForge Edge Integrations

Integrations include SQL Server, MySQL/MariaDB, Oracle, PostgreSQL, plus Git/SVN version control. 

DbVisualizer is tailored for database administrators, developers, and data analysts seeking to enhance database management tasks with greater ease and efficiency. By offering a unified platform that supports a wide array of databases, it caters to professionals who require seamless connectivity and robust data handling capabilities. With its intuitive SQL editor and visual query builders, DbVisualizer addresses the need for streamlined database operations, making it well-suited for users who want productive and organized data workflows.

Why I Picked DbVisualizer

I picked DbVisualizer for its support for diverse database environments and its user-friendly interface, which enhances productivity. Its support for multiple database connections allows you to manage various data sources simultaneously, helping database users simplify tasks and improve overall efficiency. Additionally, the tool's visual query builders and intelligent SQL editor provide a seamless experience for crafting complex queries without extensive manual coding.

DbVisualizer Key Features

In addition to diverse database environments, DbVisualizer offers:

• Inline Data Editing: You can edit table data directly in the tool, simplifying quick changes without navigating multiple screens.
• Secure SSH Connections: DbVisualizer provides secure data access through SSH tunneling, ensuring your data remains protected during remote connections.
• Version Control for SQL Scripts: This feature lets you manage and track changes to SQL scripts, facilitating collaboration and maintaining code integrity.

DbVisualizer Integrations

Integrations include Oracle, MySQL, Microsoft SQL Server, PostgreSQL, MongoDB, Snowflake, Redis, Elasticsearch, IBM Db2, and SQLite.

Claris FileMaker is a desktop database software designed for users who want to create custom applications. It's popular among businesses looking to tailor solutions to their specific workflow and operational needs.

Why I picked Claris FileMaker: This tool is perfect for custom app creation due to its flexible development environment. You can design apps with drag-and-drop ease, making it accessible for non-developers. It supports cross-platform deployment, allowing your team to use apps on different devices. With its built-in templates, you can jumpstart your projects without starting from scratch.

Standout features & integrations:

Features include the ability to create apps with drag-and-drop simplicity, support for cross-platform deployment, and built-in templates for quick project starts. You can also utilize advanced security features to protect your data. Additionally, its scripting capabilities allow for automation of repetitive tasks.

Integrations include Microsoft Office, AppleScript, REST APIs, ODBC/JDBC, XML, JSON, PHP, JavaScript, Tableau, and Zapier.

Microsoft SQL Server Express is a free, entry-level database management system designed for small-scale applications and developers. It offers essential database functionalities, making it suitable for learning and developing small applications.

Why I picked Microsoft SQL Server Express: This tool is great for beginners because it provides a full-featured database engine without the complexity of larger systems. You can start developing and deploying your applications with ease, thanks to its straightforward setup. It supports a range of data types and indexing options, which helps you manage data efficiently. The built-in security features protect your data, making it a reliable choice for new users.

Standout features & integrations:

Features include support for various data types and indexing options, which help you manage data efficiently. You can use built-in security features to protect your data from unauthorized access. Additionally, the graphical management tools simplify database administration tasks.

Integrations include Microsoft Visual Studio, Azure Data Studio, Power BI, Excel, SharePoint, Dynamics 365, .NET, Entity Framework, ODBC, and JDBC.

PostgreSQL is an open-source relational database system widely used by developers and businesses that require advanced data management capabilities. It supports complex queries and large-scale data operations, making it a preferred choice for enterprises and data-intensive applications.

Why I picked PostgreSQL: This tool excels in advanced data handling due to its support for complex queries and data integrity features. You can run intricate operations thanks to its support for advanced data types like JSON and XML. Its extensibility allows you to add custom functions, which can be crucial for specialized applications. The strong community support ensures continuous enhancements, keeping your data operations up-to-date.

Standout features & integrations:

Features include support for advanced data types like JSON and XML, which enhances your data handling capabilities. You can also utilize its full-text search functionality, which simplifies data retrieval tasks. Additionally, its powerful indexing mechanisms improve query performance significantly.

Integrations include Python, Ruby, Java, C/C++, Node.js, Go, .NET, PHP, Perl, and Tcl.

MongoDB Compass is a GUI (Graphical User Interface) tool specifically designed for MongoDB users. It helps in visualizing and exploring data, making it easier for teams to work with document-based databases.

Why I picked MongoDB Compass: This tool is perfect for document-based databases, offering a user-friendly interface for data exploration. You can visually interact with your data without needing to write complex queries, which saves time. Its schema visualization feature helps you understand your data structure quickly. Additionally, the ability to perform CRUD operations directly from the interface enhances productivity for your team.

Standout features & integrations:

Features include schema visualization that allows you to understand your data structure easily. You can perform CRUD operations directly from the interface, which speeds up data management tasks. The tool also provides real-time performance metrics, helping you monitor database health effectively.

Integrations include MongoDB Atlas, AWS, Azure, Google Cloud, Red Hat, Kubernetes, Docker, Node.js, Python, and Java.

MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. It provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, and more.

Why I picked MySQL Workbench: This tool is perfect for database visualization because it offers an intuitive visual interface that simplifies database design and management. You can visually design and manage databases with a drag-and-drop interface, which can save time in developing complex schemas. Its visual performance dashboard helps you monitor database health and performance metrics. The ability to reverse engineer databases enables you to visualize existing databases easily.

Standout features & integrations:

Features include a visual performance dashboard that helps you keep track of database health. You can also reverse engineer databases to visualize existing structures. Additionally, its drag-and-drop interface simplifies the process of designing complex database schemas.

Integrations include Python, Java, C/C++, .NET, PHP, Perl, Ruby, Node.js, Visual Studio, and Eclipse.

SQLite is a self-contained, serverless database engine often used by developers and small teams for lightweight storage tasks. It excels in providing a simple, efficient way to manage databases without the need for complex configurations or administration.

Why I picked SQLite: This tool is perfect for lightweight storage due to its minimalistic design. It requires no installation or configuration, making it easy for your team to implement. Its zero-configuration architecture allows you to embed it directly into applications, saving resources and time. The database is stored in a single disk file, which simplifies data management and transfer.

Standout features & integrations:

Features include zero-configuration setup, which reduces hassle for your team. You can also benefit from its single file storage system, making it easy to manage and transfer databases. Its small footprint ensures minimal resource consumption, which is ideal for lightweight applications.

Integrations include Python, PHP, Java, C/C++, .NET, Ruby, Perl, Tcl, and Objective-C.

IBM Db2 Express-C is a database software solution designed for businesses that need enterprise-level scalability and performance. It supports critical data workloads and offers features that cater to large-scale data management needs.

Why I picked IBM Db2 Express-C: This tool is ideal for enterprise scalability because it handles large data volumes efficiently. You can leverage its advanced compression technology to save storage space and improve performance. It also offers high availability features, ensuring your data is accessible when needed. The built-in security features help protect sensitive business information, which is crucial for enterprises.

Standout features & integrations:

Features include advanced data compression, which helps reduce storage costs. You can also benefit from its high availability features that ensure data accessibility. Additionally, the built-in security measures protect your data from unauthorized access.

Integrations include IBM Cognos, IBM InfoSphere, IBM WebSphere, Microsoft Excel, SAP, Oracle, Java, Python, PHP, and .NET.

Base, part of the LibreOffice suite, is an open-source desktop database software catering to individuals and organizations seeking a cost-effective solution. It supports creating, managing, and using databases, offering a range of functionalities for data manipulation and reporting.

Why I picked Base: This tool is ideal for open-source users because it offers a free and flexible platform for database management. You can create tables, queries, forms, and reports, which are essential for organizing and analyzing data. Base supports a variety of database engines and file formats, increasing its versatility. Its community-driven development ensures continuous improvements and adaptability to your needs.

Standout features & integrations:

Features include support for various database engines, which gives you flexibility in data management. You can easily create and edit tables, queries, forms, and reports. The tool also provides a range of wizards to help you with common tasks, simplifying your workflow.

Integrations include MySQL, PostgreSQL, Microsoft Access, dBASE, Oracle JDBC, HSQLDB, Firebird, Microsoft Excel, CSV, and XML.