Do you use a database for processing?

No. We have our proprietary High-performance in-memory engine and a scalable big-data engine. This helps lower your database load and costs.

Where is the software deployed?

Companies can opt for the SaaS option on AWS or the self-managed on-premises options.

Do you have access to our data?

No. The customer controls data access for both the SaaS and on-premises option.

What is the license based on?

It’s a consumption-based license per user per server or enterprise.

Automate Data Testing

Prevent bad data processes from entering production.

Dedicated tool for cloud data migration testing, big data lake testing, ETL data pipelines testing, data warehouse testing, BI reporting testing, CRM testing, and ERP testing.

Supports 150+ connectors for databases, files, systems and cloud applications.

For a more in-depth explanation, refer to Data Testing Concepts.

USE CASES

ETL-Pipeline-Testing-Use-Cases-iceDQ

ETL Data Pipeline Testing

Cloud-Data-Migration-Testing-Use-Cases-iceDQ

Cloud Data Migration Testing

Data Warehouse Testing

Big Data Lake Testing

BI Report Testing

System Migration Testing

Salesforce Testing

HOW IT WORKS?

KEY BENEFITS

	Improve Productivity with AI		Automatically write tests and checks for data projects and improve QA productivity.
	Scale Testing to Billions of Records		Skip data sampling, iceDQ's big data engine processes terabytes of data to improve test coverage and discover corner cases.
	High performance		Instead of relying on databases, iceDQ leverages an in-memory processing engine for parallel processing, making it lightning fast.
	Support Complex Data Testing		iceDQ's pre-built rules, along with the scripting option, can automate even the most difficult test cases, achieving 100% test automation.
	Integrate with ALM		iceDQ is integrated with popular ALM software like HP-ALM and JIRA, making it easy to link tests with requirements and automate reporting.
	APIs for CICD pipeline		The API-first design enables integration with CI/CD pipelines built using Jenkins, Git, and other tools, streamlining development.

FEATURES

Multiple Rule Types

Our platform offers diverse rule types, including checksums, reconciliations, validations, pushdown processing, and scripting for end-to-end automated data testing.
Built in Scheduler

Trigger rules and workflows based on a time-based schedule.
Exception Report

Get granular data exceptions at the record and column level.
Data Connectivity

Connect to over 150+ databases, applications, systems, data lakes, big data platforms, and more.
File Formats

Connect, test, and write queries on various file types such as Excel, flat files, JSON, XML, Parquet, and more.