frontend vs backend testings


Frontend testing is a method of testing that examines a 3 Tier Architecture’s Presentation layer. In layman’s terms, you’re testing the client-side GUI, or something visible on the phone. Front-end testing for a web application will include reviewing templates, graphs, menus, reports, and other functionalities, as well as any related JavaScript. The word “frontend testing” refers to a number of testing methods. This method of research necessitates a thorough understanding of business criteria on the part of the tester.


Backend testing examines a three-tier architecture’s application and database layers.

Back-end testing will include verifying the business logic in the Application Layer in a complex software application like ERP. Backend research examines the server or database for simplified applications. It simply means that data entered on the front end will be reviewed against the database on the back end. SQL Server, MySQL, Oracle, DB2, and other databases can be used. As a record, the information will be arranged in tables.

ACID properties, CRUD processes, schema, and business rule conformance are all reviewed in databases. Security and performance of databases are also examined.

There is no need to use the GUI for back-end checking. To get the answer in some default format, you can directly transfer the data using a browser with the parameters needed for the feature. Consider XML or JSON as examples. You can also bind directly to the database and validate the data with SQL queries.


  • Backend testing examines the application and database layers of a 3 Tier Architecture, while frontend testing examines the presentation layer.
  • Frontend testing always focuses on the user interface, while backend testing focuses on databases and business logic.
  • Frontend testing requires no data to be stored in a database, while backend testing requires data to be stored in a database.
  • Frontend testing is required to ensure that the programming functions properly, while backend testing is required to ensure that there are no deadlocks, data manipulation, or data loss.
  • Backend testers must be well-versed in database and Structured Query Language (SQL) principles, whereas frontend testers must be well-versed in business specifications and automation frameworks resources.
  • Unit tests, acceptance testing, accessibility testing, and regression testing are examples of frontend testing, while SQL testing, API testing, and other backend testing examples are available.

Important Front-end testing tools:

Front-end testing can be done using a variety of methods. Three common front-end testing tools are listed below.

  • Grunt:

When it comes to task automation, Grunt is one of the most popular tools. It’s a JavaScript task runner with a number of pre-installed plugins for common tasks.

  • Live Reload:

Live Reload is an easy-to-understand Web protocol. When files are edited, it sends out events to the clients. Even though the most common use case is when a file is edited, clients can manage this event in their own way.

  • Karma:

Karma is a platform for running JavaScript tests. It enables you to run tests from your workstation to the CI in development.

Important Back-end testing tools:

Database verification, also known as back-end testing, is crucial. Here are some useful back-end testing tools for detecting issues such as deadlocks, data manipulation, and poor results.

  • Data Factory:

A database testing tool is Data Factory. For database research, it serves as a data generator and manager. It has a user-friendly interface and can handle complex data relationships.

  • Data Generator:

Another backend testing tool is DTM Data Generator. For database research, it is used to generate data rows and schema objects. On the database, the tool supports load usability and performance checking.

  • Turbo Data:

Test data with foreign keys can be produced using the Turbo data software tool. It allows you to use SQL commands like Select, Updates, and Delete. Multiple sequential files and relational databases are also supported.

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