Perform Automated Database Testing Accurately

Database is undoubtedly a critical element for every application. Companies utilize large sets of database. Thus the need to have an indestructible and a coherent database system is essential which can be achieved through dedicated database testing in place.

Increasing data complexities, heterogeneous environments and data sizes in terabytes, make it difficult to form a testing strategy based on manual testing. Thus, test automation can help perform data validation, schema verification, database health check, security checks. In other words, it helps in performing the right data checks in optimum time-frame and budget. However, to ensure there are no database crashes, broken insertions or deletions, one needs to create a sound database test automation strategy. Hence, this can be achieved by following the right steps.

8 Steps To Performing Automation Database Testing Accurately

Identification Of Scope

First, identify what needs to be covered in database testing. Also, what can be excluded,  and likewise, which all data sets are impacting the application performance most. Hence,aspects like data verification, schema verification, and a lot more can be clubbed together in the scope of testing.

Test Script Preparation

Preparing the test scripts comes next. However, while preparing test scripts, always keep a version of test scripts in mind for future utilization. Likewise, make them code maintenance-friendly right at the initial stage.

Test Case Identification

This step is to identify the priority test cases to carry out data checks with query to query or query to previously stored data. Hence, it requires you to create needful batches in case there are huge data sets. However, while identifying these test cases, make sure they are flexible enough so that for a few test cases.


In this step, you need to execute scripts that you have prepared. You can also tweak them to perform as expected. You can add needful conditional flows. Likewise, loop around to use the same case for multiple sets of data and make them more robust. While doing execution, make sure you consider the test environment to obtain accurate test results.


Once the execution is over, monitor the outcome of the execution. Thus, you can dig into the detailed analytics. Likewise, generate reports for managers and developers to take necessary actions. Furthermore, you can also make a provision to store the reports in the format of choice for further evaluation and analytics.

Post Execution Monitoring

Post the execution and reporting, monitor the test results to identify the trends. Hence, make necessary tweaks and fixes to the test scripts. However, this can be performed as a continuous activity to conclude on some particular pattern of the defect.

Cross-checking with UI Testing Report

Lastly, cross-check the database automation testing results with UI testing. Then, affirm the findings made by two separate channels to take further actions.

To Conclude

Automated database testing can help tremendously with production, testing and development of software. Therefore, increasing user satisfaction. Thus will then result in higher profit for the organization. This is what automation can bring to industries, and the world in general.

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