16 Beste SQL-Editoren Im Jahr 2026 Bewertet

DbVisualizer is a versatile SQL client and database management tool used by data professionals across various industries. It supports a wide range of databases, providing essential functions like SQL editing, data visualization, and database management.

Why I picked DbVisualizer: It excels in cross-platform support, making it ideal for teams using diverse database systems. It supports databases like Oracle, MySQL, and PostgreSQL, offering an advanced SQL editor with features like auto-formatting and suggestions. Its data visualization capabilities enhance user understanding of complex data sets. Additionally, robust security measures such as data encryption and user access controls make it a reliable choice for secure data management.

Standout features & integrations:

Features include an advanced SQL editor, data visualization options, and strong security measures like data encryption. The tool also provides user access controls to ensure data safety. Its intuitive interface makes it easy to manage and query data across different platforms.

Integrations include Oracle, MySQL, PostgreSQL, Microsoft SQL Server, DB2, MariaDB, MongoDB, Sybase, SQLite, and Vertica.

dbForge Studio for MySQL is a comprehensive IDE designed for MySQL database management and development. It's tailored for developers and database administrators who need efficient tools for database design, maintenance, and administration.

Why I picked dbForge Studio for MySQL: It excels in MySQL development, offering features like visual query building and data export tools. You can benefit from its smart code completion, which speeds up the query writing process. The tool also provides data comparison and synchronization, vital for maintaining database consistency. Its visual database designer helps you map out database structures efficiently, aligning with its focus on MySQL development.

Standout features & integrations:

Features include a visual query builder, data export capabilities, and a database designer. The tool also offers data comparison and synchronization for consistent database management. Additionally, it provides smart code completion to enhance your query writing speed.

Integrations include Amazon RDS, Google Cloud SQL, Azure Database for MySQL, MariaDB, Percona Server, Galera Cluster, Alibaba Cloud, Tencent Cloud, and DigitalOcean.

DBeaver is a universal database management tool designed for database administrators and developers who work with multiple database types. It supports various databases, providing essential functions like database design, query execution, and data analysis.

Why I picked DBeaver: It excels in multi-database management, offering compatibility with a wide range of database systems. You can use its SQL editor, which supports syntax highlighting and code completion for various databases. Its data visualization and analysis tools enhance your ability to interpret complex datasets. The tool's user-friendly interface allows you to switch between different database environments effortlessly.

Standout features & integrations:

Features include a SQL editor with syntax highlighting and code completion, which makes query writing more efficient. The tool also offers data visualization capabilities to help you analyze data effectively. Its user-friendly interface supports smooth transitions between different database environments.

Integrations include MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, SQLite, MongoDB, Amazon Redshift, DB2, and Sybase.

Microsoft SQL Server Management Studio (SSMS) is a comprehensive tool for managing SQL Server databases, primarily used by database administrators and developers. It facilitates database management tasks such as query execution, performance tuning, and database design.

Why I picked Microsoft SQL Server Management Studio (SSMS): Its deep integration with Microsoft SQL Server makes it a go-to choice for teams relying on Microsoft's database ecosystem. The tool offers a rich set of features for query execution and performance tuning. You can also benefit from its database design capabilities, which are tightly integrated with SQL Server. The user interface is familiar to those accustomed to Microsoft's products, providing a seamless experience.

Standout features & integrations:

Features include a comprehensive query execution environment and performance tuning tools to enhance database efficiency. It also provides advanced database design capabilities to help you manage and structure your data effectively. The familiar user interface makes it easy for Microsoft users to navigate.

Integrations include Azure SQL Database, Azure Synapse Analytics, SQL Server Reporting Services, SQL Server Analysis Services, SQL Server Integration Services, Visual Studio, Power BI, Azure Data Studio, Excel, and Access.

HeidiSQL is a lightweight SQL client for managing MySQL, MariaDB, and PostgreSQL databases, primarily used by developers and database administrators. It offers essential database management functions such as query execution, table editing, and data import/export.

Why I picked HeidiSQL: Its lightweight design makes it fast and efficient, especially for users who need quick access to database functions. The tool provides a straightforward interface for executing queries and editing tables. You can also import and export data with ease, making it suitable for routine database tasks. Its minimal resource usage ensures smooth operation even on less powerful machines.

Standout features & integrations:

Features include a simple query execution interface that enhances productivity. You can also use its table editing features to quickly modify database structures. The data import/export functionality supports various formats, ensuring flexibility in data management.

Integrations include MySQL, MariaDB, PostgreSQL, Microsoft SQL Server, SQLite, and Amazon RDS.

Adminer Editor is a lightweight database management tool primarily used by developers and administrators who need a quick and efficient way to manage databases. It performs essential tasks like database editing, query execution, and data management through a single PHP file.

Why I picked Adminer Editor: Its single PHP file setup makes it incredibly easy to deploy and manage, especially for users who need a simple solution without complex installation processes. You can execute queries quickly and manage databases efficiently with minimal resource usage. The tool's lightweight nature ensures it runs smoothly on most servers without impacting performance. Its straightforward interface allows you to focus on essential database tasks without unnecessary distractions.

Standout features & integrations:

Features include a simple query execution interface that enhances productivity. The tool provides easy database editing capabilities, allowing you to make quick changes. Its lightweight design ensures fast performance and minimal server load.

Integrations include MySQL, PostgreSQL, SQLite, MS SQL, Oracle, SimpleDB, Elasticsearch, MongoDB, and Firebird.

Postico is a PostgreSQL client designed specifically for macOS users, offering a user-friendly interface for managing databases. It caters to developers and database administrators who need efficient tools for data entry, query execution, and database exploration.

Why I picked Postico: Its design is tailored for macOS, providing a familiar experience for Apple users. The tool features an intuitive table view for easy data entry and editing. You can execute queries with a simple, clean interface that enhances productivity. Its support for multiple PostgreSQL versions ensures compatibility with various database setups.

Standout features & integrations:

Features include an intuitive table view that simplifies data entry and editing. The query editor is straightforward, allowing you to execute complex queries with ease. It also supports multiple PostgreSQL versions, ensuring compatibility across different database environments.

Integrations include PostgreSQL, Amazon Redshift, Greenplum, Heroku Postgres, Citus, Postgres.app, and ElephantSQL.

PopSQL is a modern SQL editor designed to enhance team collaboration by centralizing SQL queries, enabling real-time collaboration, and providing interactive visualizations. It serves data teams seeking to streamline their SQL development process and improve productivity. The platform allows users to organize queries, visualize data, and share insights within a unified workspace. ​

Why I picked PopSQL: It offers your team to peer review code and work together directly within the SQL editor, reducing the need for back-and-forth communication. Inline comments can be attached to queries, keeping discussions organized and context-specific. The platform's version history feature lets you track changes, see who made them, and revert if necessary, ensuring accountability and ease of use. Shared connections eliminate the hassle of managing individual database credentials, making onboarding smoother for new team members. ​

Standout features & integrations:

Features include an autocomplete function that suggests tables and columns as you type, helping you write queries faster and with fewer errors. The schema browser provides a clear view of your database structure, making it easier to navigate and understand your data model. Additionally, PopSQL offers the ability to create charts and lightweight dashboards, enabling you to visualize query results and share insights quickly. ​

Integrations include compatibility with databases such as Amazon Athena, Azure Synapse, BigQuery, ClickHouse, MySQL, PostgreSQL, Presto, Amazon Redshift, Snowflake, SQL Server, Timescale, and Trino.

SQuirreL SQL Client is a graphical Java program that allows you to view the structure of a JDBC-compliant database, browse table data, and issue SQL commands. It's designed for database administrators and developers who need to interact with various relational databases. The tool facilitates tasks such as exploring database objects, editing SQL scripts, and managing database connections. ​

Why I picked SQuirreL SQL Client: It offers open-source flexibility, allowing you to customize and extend its capabilities to suit your team's needs. It supports simultaneous sessions with multiple databases, making it easier to compare data and share SQL statements between different systems. The plugin architecture enables you to add database-specific functionalities or independent features as required. Additionally, SQuirreL SQL Client runs on any platform with a Java Virtual Machine (JVM), providing cross-platform compatibility. ​

Standout features & integrations:

Features include an object tree that lets you browse database objects like catalogs, schemas, tables, and procedures. The SQL editor offers syntax highlighting and code completion, helping you write and execute SQL scripts more efficiently. Graph capabilities allow you to visualize table relationships, aiding in understanding your database structure. ​

Integrations include compatibility with databases such as MySQL, PostgreSQL, Oracle, Microsoft SQL Server, IBM Db2, Sybase, Firebird, Apache Derby, H2, and SQLite.

RazorSQL is a versatile database query tool and SQL editor designed for database administrators and developers. It provides a platform for running SQL queries, database browsing, and data management across various database systems.

Why I picked RazorSQL: It excels in SQL query testing, offering a built-in query builder that simplifies writing and testing SQL queries. You can use its syntax highlighting and query execution capabilities to streamline your workflow. The tool supports a wide range of databases, making it suitable for diverse database environments. With its data import/export tools, you can efficiently manage large datasets.

Standout features & integrations:

Features include a built-in query builder that helps you write and test SQL queries easily. The syntax highlighting feature enhances readability and reduces errors in query writing. Additionally, the tool offers data import/export capabilities, allowing you to handle large datasets efficiently.

Integrations include MySQL, PostgreSQL, Oracle, SQL Server, SQLite, MongoDB, MariaDB, Amazon Redshift, Firebird, and Apache Derby.