• SolutionsManual and Automated Testing
  • Technologies

    DBeaver, Jira, TestRail, Skype
  • Country United States

About client

For this project, we once again collaborated with our long-term client with whom we’ve worked together on dozens of other projects. The product we had to test here is a renowned database IDE with data management and visualization capabilities that hundreds of thousands of software developers, business analysts, data architects, and database administrators rely on for their daily tasks.

Project Duration

6 months

Team Composition

5 to 8 Manual QAs at different stages of the project

1 QA Lead

2 Automation QAs


The client contacted us when they were finishing working on another update of their product with a request to perform comprehensive testing of the whole solution, test the tickets supplied by the development team, and then perform complete regression testing of all basic functionality, even if it was not affected by the changes in the code.

One of the main challenges of the project was the fact that the solution works with a large variety of databases (including SQL and MongoDB-based ones), which meant that knowledge of the database technology was integral for testing the product correctly.

Moreover, there were over twenty databases deployed on the client’s side, which sometimes posed an additional challenge for us because we couldn’t quickly access those databases in case there were any hiccups in their operation. Our productive cooperation with the client’s team, including the Product Architect, helped us overcome this challenge by establishing a fast response procedure for these situations.


Part of the client’s request was to create new test coverage, which meant we had to write new test cases to ensure that. In the duration of the project, our team created 150+ test cases from scratch, as well as worked with the existing ones.

To overcome the challenge of multiple databases and complex technologies required for all-encompassing testing, we selected members of the team who specifically had experience with databases to work on the project.

The types of testing used on this project included:

  • Exploratory testing
  • Functional testing
  • Regression testing
  • Smoke testing
  • Build verification testing
  • Acceptance testing
  • Cross-platform testing

To speed up the testing process, increase test coverage, and improve the efficiency of testing, we employed the services of automation testing engineers. They also helped create and test scenarios that relied on the knowledge of software code to be successful.

In an effort to better meet the client’s technical and business needs, we used a dynamic team setup, expanding and downsizing the team as needed. Overall, the team working on the project consisted of:

  • 1 QA Lead
  • 5 to 8 Manual QAs at different stages of the project
  • 2 Automation QAs

Despite the fact that our testing team and the client’s development team were located in different time zones, we managed to make it work by establishing an effective collaboration process with a combination of synchronous (including weekly calls) and asynchronous communication.


Engagement Model:

Fixed Cost

Manual and Automated Testing for a Database Management Solution
Manual and Automated Testing for a Database Management Solution
Manual and Automated Testing for a Database Management Solution

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Our work of testing two consecutive updated product versions continued for six months in total. During this time, we performed exhaustive testing of the two versions, making sure they were fully prepared for the release. We received positive feedback from the client after both project iterations and have already collaborated on other projects since this one was completed.


Satisfaction rate


Conversion of mobile app


Bounce rate decrease

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