Backend (Database) Testing
BeatBlip integrates with all the popular databases (SQL, NoSQL, and Cloud DB’s) to provide users with unmatched capability to validate the data, DB objects, and the functionality of an application at the database level.
BeatBlip allows users to check the overall health and stability of the databases, stored as master data, as well as procedures and business logic to ensure quality performance and continuous contribution to key business processes.
- Validate the availability of the DB system
- Validate the presence of master data
- Validates the accuracy and completeness of the data
- Validate the behavior of stored procedures and triggers
Enables testers and QA engineers to automate the comparison of two different data sets to verify the integrity of the data and ensure accurate reporting.
- Runs queries to look up if the data has been processed correctly or not
- Delivers detailed drill-down information for database testing errors and data divergence
- Facilitates upgrade and migration testing
BeatBlip offers a quick and easy database validation solution to authenticate various databases and their quality for further usage and analysis.
- Enables validation of database server configuration
- Allows comparison of data across subsystems (e.g. Web, Mobile, Desktop UI vs RDBMS)
- Validates the data for accuracy, completeness, integrity, business rules etc.
- Determines and authenticates database end users
- Allows to run DB queries to select and update data for end-to-end test automation
BeatBlip allows users to establish connection with a database, obtain database tables, execute queries, perform data verification, and various other testing actions. It also provides database table checkpoints that compare values stored in a database with a baseline copy that is stored in BeatBlip. Such checkpoints are effective for verifying a set of values stored in a database. They provide you with a quick and simple way to perform a comparison of database tables. Other benefits of BeatBlip include:
- The flexibility to integrate with any database for testing purpose
- Ability to have multiple active database connections, each of different type, at the same time
- Support for all types of databases – SQL, No SQL, and Cloud
- Ability to reuse backend testing components – SQL queries, data comparison tables etc.
- Tests are automatically run within the transactions which keeps tests independent and reduces any cleanup work.
- Tests can be grouped together within a schema, allowing you to organize your tests and use common setup methods.
- Output can be generated in plain text or XML, making it easier to integrate with a continuous integration tool.
Back-end testing, also known as Database Testing, is a testing process that checks the server side or database. Such testing is used to check server-side parameters for smooth functioning. Back-end database testing is one of the essential testing activities, that happens on all programs.
While the data entered in the front end, it is stored in the back-end database. The database may be SQL Server, MySQL, Oracle, DB2, etc. Data being so critical for proper functioning of a piece of software and business continuity, it requires thorough testing. Efficient and comprehensive back-end or database testing process ensures that any kind of threat in the database is identified and removed.
Whether you are working online, offline, web, mobile or desktop application, most likely there is a backend database behind it that brings it to life. Almost all systems and applications have a database, running at their back-ends. In the present era, database has become an essential and core part of software.
Modern day app developers need to ensure the safety and security of data, including its integrity, accuracy and validity, with respect to a wide variety of data storage and access options. Back-end (database) testing ensures the quality of database management system and prevention of data loss in the event of system’s crashing
- Streamlines and accelerates the data validation process
- Reduces data anomalies due to early detection of defects
- Leads to better re-use of test components, accelerating the time-to-market and simplifying test management process
- Ensures full control of test coverage and depth
- Allows the specialists to execute more detailed checking of the system.