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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.

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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:

Validate differences between two data sources

Perfect for:

  • Data migrations

  • Synchronization checks

  • Production ↔ Staging verification

  • Cross-system consistency validation

Create Compare Job β†’

Go to Job Management β†’


πŸ”— 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 β†’

Multi-model database support:

  • MongoDB

  • SurrealDB

Browse NoSQL Connectors β†’

File and object storage:

  • Amazon S3

  • Azure Data Lake Storage Gen2

  • SFTP

Browse Storage Connectors β†’

View All Data Sources β†’


πŸ”§ Functions & Transformations

Transform and preprocess column data before running validations or comparisons.

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- Creating Functions β†’


πŸ“Š Reports & Results

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

Job History
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### Report Types

Report Type
Use Case

Compare Report

Analyze differences between two data sources

Evaluate Report

Review validation results from single data source


πŸŽ“ Getting Started

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

Quick Navigation

What You Want to Do
Go To

Create your first job

Configure data sources

Transform data with functions

Learn through examples


πŸ’‘ Pro Tips

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

  • πŸ” Check Job History regularly to monitor data quality trends

  • πŸ“Œ Create reusable Functions to standardize validations across jobs

  • 🎯 Start with Compare Jobs to establish baseline data consistency


πŸ™Œ 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 β†’arrow-up-right | Contact Supportenvelope


Last Updated: March 2026 | Version: 1.0.0

Last updated