Audience

Companies that need a powerful DataOps platform for testing and monitoring

About iCEDQ

iCEDQ is a DataOps platform for testing and monitoring. iCEDQ is an agile rules engine for automated ETL Testing, Data Migration Testing, and Big Data Testing. It improves the productivity and shortens project timelines of testing data warehouse and ETL projects with powerful features. Identify data issues in your Data Warehouse, Big Data and Data Migration Projects. Use the iCEDQ platform to completely transform your ETL and Data Warehouse Testing landscape by automating it end to end by letting the user focus on analyzing and fixing the issues. The very first edition of iCEDQ designed to test and validate any volume of data using our in-memory engine. It supports complex validation with the help of SQL and Groovy. It is designed for high-performance Data Warehouse Testing. It scales based on the number of cores on the server and is 5X faster than the standard edition.

Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, iCEDQ offers API access

Ratings/Reviews

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design 0.0 / 5
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Company Information

Torana
Founded: 2008
United States
icedq.com

Videos and Screen Captures

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Product Details

Platforms Supported
SaaS
Windows
Linux
On-Premises
Training
Documentation
Live Online
In Person
Videos
Support
24/7 Live Support
Online

iCEDQ Frequently Asked Questions

Q: What kinds of users and organization types does iCEDQ work with?
Q: What languages does iCEDQ support in their product?
Q: What kind of support options does iCEDQ offer?
Q: What other applications or services does iCEDQ integrate with?
Q: Does iCEDQ have an API?
Q: What type of training does iCEDQ provide?
Q: Does iCEDQ offer a free trial?

iCEDQ Product Features

Automated Testing

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

Big Data

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

Data Quality

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

Data Warehouse

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

ETL

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

iCEDQ Additional Categories