Difference between Data-Driven Testing and Keyword-Driven Testing

You can run tests with various data inputs in automated testing to achieve more test coverage. The fundamental principle of Data driven testing is that you run your test using a variety of input data to make sure that the application will function as intended for a range of different values. Using data as inputs to your script operations is how this strategy works. Every data set in the script serves as a test case. Therefore, the number of test cases increases as additional data sets are provided

On the other hand, the fundamental principle of Keyword driven testing is that a term represents an action. A series of keywords drive a script. Therefore, you can create a range of test scripts using the same keywords.

Data-driven Testing (DDT)Keyword Driven Testing (KDT)
Data-driven testing runs tests utilizing a variety of variables, values, and stored data.Keyword-driven testing carries out tests using particular keywords.
It requires extensive programming and technical expertise.Even without programming experience, this test can be performed.
It is less time-consuming.It is more time-consuming.
DDT offers a variety of formats for storing data, including CSV files, excel sheets, databases, tables, script arrays, etc.KDT is limited to using Excel sheets to store its data.
DDT can occur in many phases.KDT may develop in two different phases.
All test scripts are decoded using human input.The user encodes every test script.

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