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

	DbUnit http://dbunit.sourceforge.net/	Quick https://github.com/quick/quick
Programming language	Java	Swift
Category	Unit Testing	Acceptance Testing, Unit Testing
General info	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	Quick is a Swift (and Objective-C) testing framework. Quick is a behavior-driven development framework for Swift and Objective-C that is inspired by RSpec, Specta, and Ginkgo. Quick comes bundled with Nimble a matcher framework for your tests.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes It is a JUnit extension which is one of the most widely known members of the xUnit family	Yes Yes, it is an xUnit style test framework
Client-side Allows testing code execution on the client, such as a web browser	No	Yes Developers can test front-end behaviour and components by defining front-end feature specifications
Server-side Allows testing the bahovior of a server-side code	Yes Yes its used to test database functionality	Yes Developers can test back-end behaviour and components by defining back-end feature specifications
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	Yes Quick contains fixture methods setup() and teardown() for setting up and destroying test environments
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	Yes Yes, example groups (logical groupings of examples/tests) can share setup and teardown code
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	GNU 2.1 License	Apache License 2.0
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	Yes Yes, developers can create mock objects with Quick using the Cuckoo library
Grouping Allows organizing tests in groups	No	Yes In Quick test suites are named Specs, and every test suite you create starts off with a class inheriting from QuickSpec includes a main method, spec() which contains all the test cases.
Other Other useful information about the testing framework