10 beste Datenbank-Testwerkzeuge im Test für 2026

For teams looking for a database testing solution, dbForge Edge works across SQL Server, MySQL, Oracle, and PostgreSQL. It supports developers, database administrators, and analysts who need to write and check SQL, compare and sync schemas and data, and automate repeatable tasks. It also includes AI-assisted SQL features that can help refine queries and troubleshoot issues during development and maintenance.

Why I Picked dbForge Edge

I picked dbForge Edge for its schema and data comparison tools, which help you spot differences between database versions and environments. Its sync features let you align schemas and data across systems, reducing mismatches and deployment issues. It also includes an AI Assistant that can help generate and refine SQL queries as you write or troubleshoot.

dbForge Edge Key Features

In addition to schema comparison functionality, dbForge Edge offers:

• Visual Query Building: This feature lets you construct SQL queries via a drag-and-drop interface, simplifying query creation for both novice and expert users.
• Code Completion: With intelligent code completion, you can reduce typing time and minimize syntax errors in your SQL scripts.
• Data Export/Import: Effortlessly transfer data between different formats and database systems, facilitating seamless data management and migration.
• Version Control Integration: Keep track of changes and collaborate effectively with your team through integrated version control systems.

dbForge Edge Integrations

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

Azure Data Factory provides an enterprise-scale cloud-based hybrid data integration service and solution. The platform simplifies hybrid data integration by enabling you to build data factories without having to write code.

Why I picked Data Factory: You can integrate all your data with Azure Data Factory. It provides an intuitive environment that allows you to easily build ETL (extract, transform, and load) and ELT (extract, load, and transform) processes without coding. It’s flexible and allows you to write your own code if needed. With Data Factory, you can unlock business insights by delivering integrated data to Azure Synapse Analytics.

Another interesting thing about this tool is its pricing model. It offers a pay-as-you-go model that allows you to pay for only the resources you use. You can scale up or down according to your needs.

Data Factory Standout Features and Integrations

Standout features: The platform allows you to integrate data sources with over 90 built-in, maintenance-free connectors at no extra cost. Azure Data Factory helps you streamline the management of your pipelines by enabling you to orchestrate, monitor, and manage pipeline performance. You can monitor all your activity runs visually and improve your processes by setting up notifications to keep an eye on your pipelines proactively.

Integrations are available with New Relic, Amazon S3, Suntek Reporting, SQL Server, Amazon Redshift, Azure Service Fabric, Ascend, BigQuery, Klera, and Apache Spark.

Oracle SQL Developer is an integrated development platform that streamlines the development and management of Oracle Database. It enables you to manage Oracle Database in both traditional and cloud deployments.

Why I picked Oracle SQL Developer: This is a leading tool (with over 5 million users) that provides industry-standard capabilities for managing your Oracle database. It provides three user interfaces: desktop, browser, and Command Line. This gives you the flexibility to use the tool in ways that suit your needs. And it It provides the capabilities for querying, loading, and extracting data. 

It’s also free, easy to install, and you can get started with the tool without an Oracle Client.

Oracle SQL Developer Standout Features and Integrations

Standout features include a worksheet for running queries and scripts, a DBA console for managing the database, a reports interface, and a complete data modeling solution. In addition, Oracle SQL Developer offers a migration solution for moving your third-party databases to Oracle.

Integrations include Kiuwan Code Security, Convertigo, Microsoft Excel, Python, Decube, Fortran, BigID, Java, Visual Basic, SEA Manager, and Qualis DMS.

NoSQLUnit comes with a JUnit extension that enables you to manage the lifecycle of NoSQL databases and also helps with maintaining databases in a known state.

Why I picked NoSQLUnit: It makes creating unit and integration tests for systems that use the NoSQL backend easier. It streamlines the unit testing of heterogeneous NoSQL by providing a JUnit extension. A JUnit extension enables you to manage the lifecycle of NoSQL systems and helps to maintain databases in a known state.

NoSQLUnit Standout Features and Integrations

Standout features: There is detailed documentation that helps testers to get started quickly. In addition to describing the tool, there are examples of how to set things up with screenshots of code snippets. The comprehensive guide helps you get started easily and provides the foundation you need to maximize NoSQLUnit.

Integrations include MongoDB, Hbase, Neo4J, GitHub, and Maven.

SolarWinds Database Performance Analyzer is designed to help data engineers monitor and optimize multiple database management system (DBMS) solutions. It supports popular databases and uses advanced technologies to help you track and optimize database performance.

Why I picked SolarWinds Database Performance Analyzer: It supports all popular databases and enables you to analyze and optimize database performance. The tool improves database performance by using machine learning to detect database anomalies. There is an ML-powered anomaly detection tool that helps you automatically learn about databases and gain actionable insights into their performance.

You can analyze performance, monitor changes, and maintain databases across on-premises, virtualized, and cloud environments. SolarWinds Database Performance Analyzer offers a unified dashboard that provides insights into performance changes. The tool is designed to provide in-depth diagnostics, custom alerts, and good reporting.  

SolarWinds Database Performance Analyzer Standout Features and Integrations

Standout features include cross-platform database support, expert tuning advisors, and automation management API. The tool stands out with a wide range of database testing and management features, including SQL query analyzer, SQL server audit log tool, Amazon RDS monitoring, Oracle Exadata performance monitoring, and Postgres performance tuning.

Integrations include Pliant, Microsoft Azure, Datto Workplace, Oracle, PostgreSQL, IBM Db2, MariaDB, Amazon Aurora, SAP ASE, and MySQL.

Orion provides everything you need to monitor, analyze, and manage your IT infrastructure in one place. It’s designed to help you streamline IT administration for your on-premises and cloud environments.

Why I picked Orion: Orion enables you to keep track of your infrastructure in one place in a single pane of glass. This tool gets rid of the need to use multiple incompatible infrastructure monitoring solutions. Managing a host of databases can be overwhelming, and in some cases requires the use of more than one management tool. Orion solves the problem of struggling with multiple monitoring systems by providing a full suite of monitoring capabilities in one platform.

Orion Standout Features and Integrations

Standout features: Orion offers cross-stack integrated functionality, which streamlines the management of your multi-stack infrastructure. It offers an outstanding Network Performance Monitor, which helps you detect, diagnose, and fix network performance issues. This tool stands out with its wide range of infrastructure monitoring capabilities, including Virtualization Manager, VOIP and Network Quality Manager, Network Configuration Manager, and Storage Resource Monitor.

Integrations are available with SolarWinds IP Address Tracker, Chronicle SOAR, SolarWinds Log Analyzer, and SolarWinds NetFlow Traffic Analyzer.

Microsoft SQL Server is a scalable, hybrid data platform. It’s a leading relational database management system designed to help you to analyze structured or unstructured data across various data environments.

Why I picked SQL Server: The software provides a unified platform that empowers you to keep an eye on database performance, keep track of data lakes, and manage data warehousing operations effectively. I picked Microsoft SQL Server because it’s powerful, feature-rich, and has a very flexible pricing model. 

It allows you to pay as you go. This means that you have the flexibility to only pay for what you use. You can scale up or down according to your needs. This pricing model helps you avoid paying for resources you're not using or maximizing.

SQL Server Standout Features and Integrations

Standout features: The platform offers seamless analytics, which lets you derive near real-time insights. It enables you to analyze all your data using both Spark and SQL runtimes in the cloud with Azure Synapse Link. With Microsoft SQL Server, you enjoy complete visibility over your entire data estate. There is Microsoft Purview, which helps you take care of data silos by managing and governing your entire data asset.

Integrations include Microsoft PowerPoint, Google Forms, MySQL, Jotform, Microsoft Azure, IntelliJ IDEA, AppSheet, Fracttal, ZeroBounce, and Pipefy.

HammerDB is a free and open-source database benchmarking software. It’s ideal for running database load or performance testing.

Why I picked HammerDB: It helps you benchmark and load test databases. The tool is free and provides enterprise-grade database testing capabilities without any virtual user restrictions. It stands out with detailed documentation and expert-level support. HammerDB provides comprehensive resources that enable new users to get started quickly. 

There is a wide community of HammerDB users who offer support if needed. It also features metrics and performance reports, which give you insight into your testing activities and provide reliable information for database optimization.

HammerDB Standout Features and Integrations

Standout features: It provides full functionality and extensibility for Linux and Windows. HammerDB has a modular architecture for the plug-in of new database workloads. When it comes to handling bulk data, the software allows bulk data generation and loads for cloud testing. It offers one of the high-performance benchmarking and load testing tools without bottlenecks.

Integrations include Oracle, Microsoft SQL Server, IBM Db2, MariaDB, and PostgreSQL.

QuerySurge helps data and QA teams validate, test, and monitor their databases as they move across pipelines. It’s built for teams that struggle with catching data defects early, especially when dealing with migrations, ETL processes, or large volumes of structured information.

Why I Picked QuerySurge

I picked QuerySurge because it gives you end-to-end visibility into how data transforms across every stage of your pipeline. You can compare data sets automatically through query-based validations, which catch mismatches that manual checks often miss. It also improves your team’s testing efficiency by offering scheduled test executions and automated result tracking, so you spend less time debugging. I like that it integrates with CI/CD tools, allowing you to trigger data tests as part of your existing workflows. And because it provides detailed dashboards, you get a clear picture of data health over time.

QuerySurge Key Features

These features highlight how QuerySurge supports reliable and scalable database testing.

• Automated Data Comparison: Validates source and target data through configurable SQL queries.
• Continuous Data Testing: Runs tests on schedules or builds to catch defects early.
• Data Health Dashboards: Visualizes mismatches and trends across multiple pipelines.
• API-Driven Execution: Allows external systems to trigger and manage tests programmatically.

QuerySurge Integrations

Integrations include Jenkins, Bamboo, Azure DevOps, Jira, Informatica, Talend, dbt, Git, GitHub, GitLab, and other ETL/CI tools.

tSQLt is an open-source database unit testing framework for SQL Server. It is compatible with all editions of SQL Server and allows you to perform unit tests in T-SQL.

Why I picked tSQLt: It enables you to perform SQL Server unit testing without having to switch between various tools to create the code and unit test cases. This is because the tool allows you to execute unit tests in T-SQL. You can keep tests independent and minimize any cleanup work by automatically running tests within transactions.

tSQLt lets you group tests together within a schema. This approach helps you to structure your tests and implement common (and easy-to-execute) setup methods.

tSQLt Standout Features and Integrations

Standout features: With the tool, you can fake tables and views, and build stored procedure spies. The benefit of this approach is that it lets you isolate the code being tested. tSQLt allows you to generate output in plain text or XML, which makes integrating with continuous integration software much easier.

Integrations include GitHub, CruiseControl, SQL Server, Visual Studio, and Azure DevOps.