What is Data Compatibility Testing

Data compatibility testing is to test the compatibility of applications under different databases (relational databases, NoSQL databases, etc.) and data formats (JSON, XML, etc.). The main purpose is to ensure that applications can run and interact normally when using different data stores and formats, and ensure data integrity and accuracy. The following are the steps of the data compatibility test:
 
1. Determine the test environment
Determine the database and data format used by the test application and other related information.
 
2. Determine the test plan
According to the requirements and characteristics, formulate the test plan for the data compatibility test, and determine the test method and test tools .
 
3. Import test data
Import test data into different databases, including relational databases and NoSQL databases, and set different data formats.
 
4. Conduct data compatibility test.
It mainly tests whether the routine business operations of the application under different databases and data formats can be carried out normally, such as adding, modifying, deleting, querying and other operations. At the same time, it is necessary to test the handling of abnormal conditions, such as data type mismatch, length limit, etc.
 
5. Compare the test results
Compare the test results in the same test environment, compare the compatibility of test data storage and format, find out the difference, and solve the problem.
 
6. Output test report
Test according to the test plan, sort out the test conclusions, and output the test report.
 
In general, data compatibility testing is to ensure that applications can run and interact normally when using different data storage and formats, to ensure the integrity and accuracy of data, and to avoid problems caused by incompatibility of data storage and formats .