Introduction To Database & Database Testing – QAonCloud

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Data Everywhere!

Today we have humongous data available. Everybody is Online either making a transaction or surfing the Internet. And that generates a massive amount of data every minute. For example, Google processes 24 petabytes of data every day, whereas Twitter processes 400 million tweets per day.

So with these complicated databases and enormous amounts of data, back-end Testing becomes a crucial step towards high-quality software. Furthermore, we often forget how important the Back-end Testing is. 

What is Database and Database Testing?

The Database is an organized collection of data. It is organized so that it can easily be accessed, updated, and also managed. For example, the Railway reservation system, files on your computer hard drive, etc.

Therefore, the kind of software testing that examines schema, tables, triggers, etc. of the Database under test is known as Database Testing.

A major misunderstanding that we have about testing is that we believe it constrains to Front-End UI only. Still, every information stored in the Backend is equally essential while testing.

Validations for Database Testing

1. Data Mapping: In Software systems, data moves from Front-End (User Interface) to Back-End (Database) and vice-versa. Usually, the data entered by the user is mapped to corresponding table in the database. 

2. ACID Properties Validation: ACID is an acronym which stands for Atomicity, Consistency, Isolation and Durability.

    • Atomicity:  This means that the transaction either Passes or Fails. It is also known as All-or-Nothing.
    • Consistency:  Represents that the database remains valid after the completion of the transaction.
    • Isolation:  This means that multiple transactions can run without impacting each other.
    • Durability: Represents that once a transaction happens, no external factors like power loss or crash can change it.

3. Data Integrity: Performing the CRUD (Create, Retrieve, Update, and Delete) operations on data, should display the latest information on the Interface.

4. Business Rule Conformance: Complexities in data mean more complicated components like constraints, triggers, procedures, etc. So, Tester will have to come up with a proper SQL queries to validate these complex objects.

Types of Database Testing

database testing
  1. Structural Testing: It deals with table and column testing, schema testing, stored procedures, and views testing, checking triggers, etc. It can also involve testing your DB servers.
  2. Functional Testing: It includes checking the functionality of the Database (DB) from the end-users point of view. White box and Black box testing are the most common type of Functional Testing. Moreover, the main focus is on how data is mapped from Front-End to the Data.
  3. Non-Functional Testing: – It includes load-testing, risk testing, stress testing, and minimum system requirements, and also deals with the performance of data.

Testing Process (Explained step-by-step)

The process for Database Testing is as follows:

  1. Keep the environment ready.
  2. Carry out the test.
  3. Examine the test result.
  4. Validate based on the expected output.
  5. Report the findings

Database Testing Tools

These tools save time and also helps Tester to find issues in a short period.

  1. DataFactory
  2. MockupData
  3. DTM Data Generator
  4. MS SQL Server
  5. SQL Test
  6. Oracle SQL Developer
  7. NoSQLUnit
  8. SeLite


The Database is the main and the most important part of almost every application. Hence, Testing it helps to identify the issues before the application is released for End-Users.

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