HavaRunner vs DbUnit comparison of testing frameworks
What are the differences between HavaRunner and DbUnit?

HavaRunner

https://github.com/havarunner/havarunner

DbUnit

http://dbunit.sourceforge.net/
Programming language

Java

Java

Category

Unit Testing

Unit Testing

General info

HavaRuner is a Java test framework with built-in concurrency support, suites and scenarios

HavaRunner is a Java test framework that has built in support for concurrency and enables you to create suites. You can run the same test against multiple scenarios and speeds up development cycles with faster tests.HavaRunner is a JUnit runner, which means that it is built on top of JUnit it's fairly straightforward to adopt it in a codebase that already has JUnit tests.

Dbunit is a Junit extension for unit testing database driven programs

DbUnit has the ability to export and import your database data to and from XML datasets. Since version 2.0, DbUnit can also work with very large datasets when used in streaming mode and can also help you to verify that your database data match an expected set of values
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

It is a JUnit extension which is one of the most widely known members of the xUnit family
Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can test front-end functionality and components with havarunner

No

Server-side
Allows testing the bahovior of a server-side code

Yes

HavaRunner is able to test server side functions and components

Yes

Yes its used to test database functionality
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

N/A

Group fixtures
Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.

N/A

N/A

Generators
Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.

N/A

N/A

Licence
Licence type governing the use and redistribution of the software

MIT License

GNU 2.1 License

Mocks
Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)

No

Grouping
Allows organizing tests in groups

Yes

You can group your tests by annotating them as @PartOf a suite

No

Other
Other useful information about the testing framework