iceDQ Description

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

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Pricing

Pricing Starts At:
$1000
Free Trial:
Yes

Integrations

API:
Yes, iceDQ has an API
View Integrations

Reviews - 1 Verified Review

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ease
features
design
support
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Company Details

Company:
iceDQ
Year Founded:
2005
Headquarters:
United States
Website:
icedq.com
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Media

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Product Details

Platforms
Web-Based
Windows
Linux
On-Premises
Types of Training
Training Docs
Live Training (Online)
In Person
Training Videos
Customer Support
Live Rep (24/7)
Online Support

iceDQ Features and Options

Automated Testing Software

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Big Data Platform

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Quality Software

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Warehouse Software

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

ETL Software

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

iceDQ Lists

iceDQ User Reviews

Write a Review
  • Name: RAB B.
    Job Title: Contractor
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User
    Organization Size: 20,000 or More
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Comprehensive Solution for Scalable Data Quality and ETL Validation Tool.

    Edited: Oct 24 2025

    Summary: A powerful solution that enhances data accuracy and reliability.
    Improves scalability and automation in ETL workflows.
    Bridges the gap between business and technical teams.
    Delivers excellent value with consistent performance and strong support.

    Positive: Automates and streamlines ETL validation, reducing manual effort.
    Enables fast creation and deployment of reusable monitoring rules.
    Supports validation across multiple databases and file formats.
    Centralized repository improves governance and maintainability.
    User-friendly interface accessible to both technical and business users.
    Flexible scripting engine allows custom, business-specific rule creation.
    Seamless integration with existing data infrastructure minimizes disruption.
    Responsive and knowledgeable support team ensures smooth operations.

    Negative: Occasional technical glitches in the interface.
    Slight learning curve for new users.
    Advanced features may need initial setup guidance.

    Read More...
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