🏠Home

Data Testing is a comprehensive platform for data quality assurance, enabling both cross-source comparisons and internal validations to maintain reliable and accurate data across your entire data ecosystem.

Home Page

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🎯 Core Concepts

What is a Job?A Job is a task configuration that defines:

• What data should be validated

• How the validation is executed

• Which rules or data sources are involved

Jobs allow you to automate, monitor, and maintain data quality efficiently within the Data Testing platform.### Job Types

The platform supports two primary job types:

Compare Job

Validate differences between two data sources

Perfect for:

• Data migrations

• Synchronization checks

• Production ↔ Staging verification

• Cross-system consistency validation

Create Compare Job →

Evaluate Job

Perform in-depth validations on a single data source

Ideal for:

• Schema validation

• Data constraints checking

• Quality rule enforcement

• Custom logic validation

• Data profiling

Create Evaluate Job →

Go to Job Management →

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🔗 Data Sources

The platform supports a wide variety of data source connectors, each requiring specific configuration details such as host information, credentials, queries, or access keys.

Available Connector Categories- 🌐 API Connector

Perfect for real-time data validation through REST APIs and webhook integrations.

6+ SQL connectors available:

• Amazon Redshift

• MySQL

• Microsoft SQL Server

• IBM DB2

• Oracle Database

• Snowflake

Browse SQL Connectors →

Multi-model database support:

• MongoDB

• SurrealDB

Browse NoSQL Connectors →

File and object storage:

• Amazon S3

• Azure Data Lake Storage Gen2

• SFTP

Browse Storage Connectors →

View All Data Sources →

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🔧 Functions & Transformations

Transform and preprocess column data before running validations or comparisons.

Functions are especially useful for:

• ✨ Cleaning and refining raw data

• 🔄 Applying custom logic to columns

• 📐 Standardizing data formats across sources

• 🛡️ Data masking and security transformations

- Creating Functions →

• Using Functions →

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📊 Reports & Results

Navigate to Jobs History to view the results of your completed jobs:

Job History

Users can only view reports for jobs with the Completed status.

### Report Types

Report Type	Use Case
Compare Report	Analyze differences between two data sources
Evaluate Report	Review validation results from single data source

• Compare Job Report →

• Evaluate Job Report →

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🎓 Getting Started

First Time UsersNew to Data Testing? Start with our demo walkthroughs to learn common workflows and configurations.

• 📺 Demo Configurations →

  • DB to DB Migration

  • API to File Export

  • Database Evaluation

  • Function Usage Examples

Quick Navigation

What You Want to Do	Go To
Create your first job	Job Management
Configure data sources	Data Source Connectors
Transform data with functions	Functions Guide
Learn through examples	Demo Walkthroughs

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💡 Pro Tips

• ⚡ Use Quick Run mode for rapid testing with smaller datasets

• 🔍 Check Job History regularly to monitor data quality trends

• 📌 Create reusable Functions to standardize validations across jobs

• 🎯 Start with Compare Jobs to establish baseline data consistency

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🙌 Thank You

Thank you for choosing Data Testing as your go-to platform for data validation workflows!

Explore the complete documentation to take full control of your data quality management.

View Full Documentation → | Contact Support

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Last Updated: March 2026 | Version: 1.0.0