In software testing, the integration testing stage commonly referred to as integration and testing or simply I&T involves combining and testing several software modules together. To determine if a system or component complies with a set of functional requirements, we need to carry out integration testing.
This kind of testing works from top to bottom in accordance with the natural control flow hierarchy. The login page, the profile page, the shopping page, and the payment page are just a few modules of an e-commerce app. The critical top-level module will be the first to be tested for the application.
Integrity testing seeks to identify how integrated units interact. Integration testing is done after all the modules have undergone unit testing. These types of tests are a branch of software testing that examines how well software components communicate with one another. Any software module will function flawlessly when used alone, but there is a potential that it won’t operate as intended when combined with another module.
Additionally, integration testing is a type of black-box testing. Whereas, unit testing is a type of white-box testing. As written code is tested during unit testing, access to the source code is necessary; however, since integration testing examines the relationships and interfaces between modules, access to the source code is not necessary.
Most people are confused about integration testing and system testing, here is what makes them different. System testing is a level of testing where tests are run to determine whether a full build complies with the functional and non-functional criteria created for it. Integration testing, in contrast, is a testing phase when two or more software components are linked and tested concurrently.
The tools that help organizations and developers to accomplish integration testing is known as integration testing tools. There are various integration testing tools used by professional testers. In this article, we are going to list the best integration testing tools.
Top 5 Integration Testing Tools
1. Bitwise ETL Testing Tool
A framework for centralized testing of one or more ETL tools is offered by the Bitwise QualiDI Test Automation Platform. From source (any operating system) to target, the solution automates ETL testing (data warehouse).
QualiDI increases the efficiency of ETL testing, shorten the development cycle, and guarantees quality. Data traceability, early defect discovery, testing agility, and a centralized repository are important aspects. Additionally, there is a built-in Business Rules Engine that can read language similar to English and produce queries.
An enterprise-wide, end-to-end platform for centralizing testing of one or more ETL tools is offered by the QualiDI ETL Testing Automation tool. Automating ETL testing from any Source (operational system) to any target is possible with QualiDI (data warehouse).
Here are a few of the highlighted key features of the Bitwise ETL Testing tool:
- Lower costs resulting from early fault discovery, and shorter testing cycles.
- The software is simple to use.
- The tool offers a precise data icon and offers accurate information that ensures the accuracy and dependability of business information transformation from source to goal.
2. Datagaps ETL Validator
Datagaps ETL Validator comes with an ETL engine that can extract and compare millions of records from various data sources while running test cases in parallel.
A unique Visual Test Case Builder with drag-and-drop functionality and a Query Builder that enables defining tests without manual typing are some of the key features of ETL Validator.
Enterprise collaboration, flat file testing, data profile testing, baselining, data quality testing, and database metadata testing are some of the most important characteristics.
Here are a few of the key features of ETL Validator by Datagaps,
- Testing ETL automation
- Testing for data quality
- Database metadata testing with Visual Test Case Builder
- End-to-end data testing for data profiles
- Baselining capabilities for enterprise collaboration
- Testing of data profiles
3. Codoid ETL Testing Services
Data warehouse and ETL testing services are available from Codoid for both closed-source and open-source frameworks. The corporate data is accurate, dependable, and consistent thanks to its ETL testing and validation processes.
Additionally, Codoid offers an automatic testing process that verifies end-to-end data and specifies corrections to stop data corruption in the future. All the data is appropriately imported into the data warehouse once it has undergone data validation.
Source to target and data quality validations are part of Codoid’s ETL & Data Analytics testing services. A data warehouse system receives the data after it has been extracted from various heterogeneous data sources (such as relational databases, CSV files, spreadsheets, etc.)
After the data is transformed (using computations, mapping data fields, etc.) and loaded, you may create useful reports, dashboards, and visualizations using a variety of Business Intelligence (BI) tools.
Similar to other big tools Codoid also supports Big Data, it is expanding rapidly and continuously. The majority of ETL products now offer solutions for Big Data integration.
4. VectorCAST
The VectorCAST tool from Vector Software is well-known for carrying out both unit and integration testing. In this case, each unit or module is independently tested to make sure that all of the constituent parts are functioning independently and as planned. These components are later joined during integration testing to ensure that the integrated modules are all functioning correctly together as a whole.
The tools used by Vector are based on the notion that integration tests combine unit tests into a logical module before being run as a group and that unit tests are done as individual components.
Embedded developers utilize VectorCAST/C++, a fully automated unit and integration test tool, to evaluate mission-critical and safety-critical embedded systems. Avionics, medical, automotive, industrial controls, railway, and finance are some industries that make extensive use of this dynamic test solution.
5. Citrus
With the help of Citrus, testing teams may create complete use case tests that will be conducted entirely automatically. In a test scenario, incoming and outgoing messages are defined in advance. As it is created for a use case, the tester creates a message flow.
The message transports used by this application to communicate with Citrus include SOAP, HTTP, and JMS. Citrus simulates the request and answers messages in this scenario by acting as both the client and the server.
Conclusion
Here we reached the end of our list of the best integration testing tools. If you find this blog useful consider sharing it with your techie friends who are searching for the best integration testing tools.

An enthusiastic computer science engineer with experience working in Java applications. Skilled in C++, basics of Machine Learning, solving real-world problems, and passionate about learning new technologies. I also develop technical content to share knowledge and provide learning content.