Database Testing Services for Data Integrity & Performance
Leverage our expertise to test your databases across any architecture, any scale
Harnessing Database Testing Services
For most modern software applications, the database forms the core of the architecture, and the proper functioning of the database is essential for the software to perform as expected. Our test engineers have experience testing for and identifying the various issues that can cause software solutions to not function properly.
This includes thorough database testing services to ensure data integrity, consistency, and reliability, pinpointing potential bottlenecks,and validating the efficiency of database queries and transactions.
Types of Database Testing Services
Database testing services help verify that data is retrieved exactly as it was stored and that user updates to components occur without any loss or corruption. It also ensures that incomplete or aborted operations do not save unintended data, increasing overall database reliability and preventing costly downtime.
Structural Database Testing
Ensures the verification of all elements and components of the database used for storing data. These elements are not visible or modifiable by users and contribute to maintaining data integrity and accuracy.
Function Testing
Ensures the database functions correctly from the users’ perspective. It involves both white box and black box testing to verify that user transactions align with business specifications.
Non-Functional Testing
Involves conducting load testing, stress testing, verifying minimum system requirements to meet business specifications, identifying risks, and optimizing the database’s performance.
End-to-End Database Testing Services
At Telliant, we focus on validating the backend components that operate behind the user interface. Our data testing services thoroughly examine elements such as SQL, MySQL, server components, assemblies, and other critical backend systems to ensure your application maintains complete data integrity, consistency, and reliability.
Data Migration Testing
Data Integrity Testing
Big Data Testing
ETL Testing
Data Warehouse
Data Migration Testing
When data is migrated from one system or platform to another, this testing ensures that data is transferred accurately, completely, and without loss or corruption.
Data Integrity Testing
Data integrity testing involves verifying data accuracy, reliability, and consistency, ensuring it remains unchanged across operations like data input, processing, storage, and retrieval.
Big Data Testing
Traditional storage systems struggle with huge amount of data. Big data testing scrutinizes and validate the functionalities of big data applications. Strategies encompass batch, real-time, and interactive data processing test.
ETL Testing
Focuses on testing the data extraction, transformation, and loading processes to ensure that data is extracted correctly from source systems, transformed accurately according to business rules, and loaded into the target systems without errors.
Data Warehouse Testing
Data warehouses are repositories that store large volumes of data for analysis and reporting. Testing involves validating data consistency, integrity, and accuracy within the data warehouse.
Enterprise-Grade Database Testing Company
We are an AI-powered database testing services company that automatically generates comprehensive test cases, predicts potential vulnerabilities, and performs automated data validation — ensuring unmatched data integrity and accuracy.
Deep Database Expertise
Telliant’s engineers have specialized experience working with SQL, NoSQL, cloud-native databases, data warehouses, ETL pipelines, and big enterprise scale architectures — enhancing the performance, accuracy and efficiency of data systems.
Flexible Engagement Models
Whether it’s fixed-bid, time and material, a dedicated team, or managed testing, we offer flexible engagement models that align with your business goals, project scope, and budget for seamless project delivery.
Industry Best Practices
We adhere to methodical and repeatable testing procedures supported by automation, tailor-made scripts, and top-notch validation tools to achieve results of high quality consistently.
Trusted by Enterprises
Telliant has a long history of creating strong and reliable data infrastructures for difficult applications. It has worked with clients in several industries such as healthcare, fintech, logistics, SaaS, and others.
Our Technology Stack for Database Testing
We leverage advanced tools and technologies for reliable database testing services, ensuring accuracy, performance, and seamless system operations.
FAQs on Database Testing
Database testing evaluates the reliability of your data storage systems by validating how data is updated, retrieved, secured, and migrated, while also ensuring compliance with regulatory standards. It plays a critical role in maintaining accuracy and completeness, optimizing performance, identifying security vulnerabilities, supporting recovery and backup processes, and preserving overall data integrity.
Users trust your business with sensitive information, making responsible data management essential. Maintaining accurate and reliable internal records is equally important. When building a solid database testing strategy, consider the following key areas:
- Structural testing (schemas, views, triggers)
- Functional testing (CRUD operations)
- Non-functional testing (performance, security, compatibility)
- Boundary testing (extreme input values)
- Regression testing (impact of code changes)
- Data migration testing (integrity during system transfers)
ACID—Atomicity, Consistency, Isolation, and Durability—defines how reliably a database handles transactions. Atomicity ensures operations are fully completed or not executed at all. Consistency keeps data accurate after each operation. Isolation ensures one transaction doesn’t interfere with another, and Durability preserves data even after failures. Verifying ACID compliance is a crucial part of any database testing process.
Some of the best database testing tools are Microsoft SQL Server, NoSQLUnit, DBUnit, Oracle SQL Developer, Apache Jmeter, QuerySurge, NOSQL, dbfit and more.
