Automated Database Testing Platform for Reliable Data, Faster Releases
Comprehensive Database Testing for SQL and NoSQL Systems
Ensure accurate, consistent, and reliable systems with ZeuZ — providing automated database testing for SQL and NoSQL databases, enabling full end-to-end workflows and comprehensive data validation across your applications.
Seamless Database Integration
Connect directly to popular SQL and NoSQL databases to validate real-world scenarios:
SQL Databases : MsSQL, PostgreSQL, MariaDB, MySQL, Oracle and all ODBC compliant databases
NoSQL Databases : MongoDB and similar databases are easily adaptable.
Connections : ODBC & native driver support
No maOer your stack, ZeuZ ensures you can run automated SQL tes1ng and NoSQL tes1ng with speed and reliability.
Why ZeuZ Leads in Database Test Automation for Modern Applications?
All-in-One Testing Platform
UI, API, and DB tests in one place
Fast Test Development
with AI-assisted workflows
Supports SQL & NoSQL Databases
for flexible coverage
Realistic Test Scenarios
with true database state management
Scalable for Enterprises
and agile teams alike
Beginner-Friendly, Expert-Ready
and agile teams alike
Key Database Testing Capabilities
Direct SQL & NoSQL Query Execution
Run queries directly from test scripts for fast validation of records and operations.
Automated Data Validation & Comparison
Cross-check application results against backend data to ensure consistency and accuracy.
Database State Management
Set up initial database states and reset conditions for repeatable, scenario-based testing.
Transactional Testing
Validate commits, rollbacks, and atomicity—essential for financial and transactional systems.
Cross-Environment Compatibility
Reuse tests across dev, staging, and production-like environments without rewriting.
Built for Every Level of Tester
Whether you're just starting out, building mid-level test coverage, or orchestrating advanced enterprise pipelines, ZeuZ is the end-to-end database test automation tool designed for you.
Beginners
- Connect to databases without deep SQL knowledge
- Use prebuilt templates and guided workflows
- Run simple data validation tests to start
Intermediate Testers
- Execute SQL queries within automated test cases
- Validate data mapping, synchronization, and transformations
- Test real-world workflows like orders, refunds, or user creation
Advanced Engineers
- Scale tests with parameterization and dynamic data sets
- Integrate continuous database testing into CI/CD pipelines
- Orchestrate complex workflows across multiple databases
- Combine UI + API + database checks for full-stack validation
Real World Impact
Define initial database state
- insert users, orders, balances
Perform UI or API actions
- e.g., place order, cancel, refund
Generate AI-powered release report for rapid insights
- insert users, orders, balances
Run automated database assertions
- Confirm entries in orders table
- Validate stock or balances updated correctly
- Ensure rollback in case of errors