Automate Data Testing, Monitoring & Observability

One data integrity platform
that rules them all

What is iceDQ?

iceDQ is a unified platform that combines data testing, monitoring, and observability. It works seamlessly in both development and production environments, ensuring data and process reliability from the start.

Streamlined Data Testing in Development: During development, iceDQ automates ETL/Data pipelines testing, data migration testing, data warehouse testing, BI report testing, and even big data testing. By automating these tests, iceDQ helps catch data issues early, saving time and resources.

AI-Powered Monitoring and Observability in Production: Once your data systems are live, iceDQ leverages AI to continuously monitor and observe data quality in the production environment. This proactive approach allows iceDQ to detect and report any data issues that might arise, ensuring the integrity and reliability of your data.

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How iceDQ Works?

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iceDQ is built from the ground up with cutting edge features to meet the needs of large organizations. It prioritizes security, performance, and scalability. Plus, its designed to work seamlessly in the cloud.

No matter where your data is stored or what formate it’s in, iceDQ can securely connect to those sources and read the data to validate, reconcile and report anomalies.

More on Architecture

iceDQ at a glance

Connectors - iceDQ

Connectors

150+ connectors for database, data lakes,
document DBs, and file type such as JSON,
XML, Paquet, HDFX, etc.

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Integrations

Integrations

20+ integration for test case, and incident management
tools such as JIRA, Xray test management, Azure test
Plans, ServiceNow, etc.

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AI Powered

AI Powered

Automatically generates metrics with AI and machine
learning to observe and report anomalies in
production data.

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APIs for CI/CD

Engineered with API first approach to seamlessly
integrate in CI/CD pipeline such as Jenkins, Azure Pipelines,
Bamboo and GIT repository

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Performance and Scalibility

Performance & Scalability

iceDQ does not use database for processing instead it use Java processing for high performance and low letency. It also has a Spark for scaling to petabytes of data.

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all features

All Features

Explore additional capabilities such as SSO,
Key Vault, Query Designer, UDF, reporting,
ticketing, etc.

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