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What is iceDQ?

iceDQ is a comprehensive DataOps platform that specializes in monitoring and testing various data processes. This agile rules engine automates essential tasks such as ETL Testing, Data Migration Testing, and Big Data Testing, which ultimately enhances productivity while significantly shortening project timelines for both data warehouses and ETL initiatives. It enables users to identify data-related issues in their Data Warehouse, Big Data, and Data Migration Projects effectively. By transforming the testing landscape, the iceDQ platform automates the entire process from beginning to end, allowing users to concentrate on analyzing and resolving issues without distraction. The inaugural version of iceDQ was crafted to validate and test any data volume utilizing its advanced in-memory engine, which is capable of executing complex validations with SQL and Groovy. It is particularly optimized for Data Warehouse Testing, scaling efficiently based on the server's core count, and boasts a performance that is five times faster than the standard edition. Additionally, the platform's intuitive design empowers teams to quickly adapt and respond to data challenges as they arise.

What is DQOps?

DQOps serves as a comprehensive platform for monitoring data quality, specifically designed for data teams to identify and resolve quality concerns before they can adversely affect business operations. With its user-friendly dashboards, users can track key performance indicators related to data quality, ultimately striving for a perfect score of 100%. Additionally, DQOps supports monitoring for both data warehouses and data lakes across widely-used data platforms. The platform comes equipped with a predefined list of data quality checks that assess essential dimensions of data quality. Moreover, its flexible architecture enables users to not only modify existing checks but also create custom checks tailored to specific business requirements. Furthermore, DQOps seamlessly integrates into DevOps environments, ensuring that data quality definitions are stored in a source repository alongside the data pipeline code, thereby facilitating better collaboration and version control among teams. This integration further enhances the overall efficiency and reliability of data management practices.

Media

Media

Integrations Supported

Amazon Athena
Amazon Redshift
Apache Airflow
Apache Spark
Google Cloud BigQuery
Google Cloud Platform
Jenkins
Looker
Microsoft Azure
MySQL
Oracle Database
PostgreSQL
Presto
SQL Server
SingleStore
Slack
Snowflake
Trino
Visual Studio Code
dbt

Integrations Supported

Amazon Athena
Amazon Redshift
Apache Airflow
Apache Spark
Google Cloud BigQuery
Google Cloud Platform
Jenkins
Looker
Microsoft Azure
MySQL
Oracle Database
PostgreSQL
Presto
SQL Server
SingleStore
Slack
Snowflake
Trino
Visual Studio Code
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

$1000
Free Trial Offered?
Free Version

Pricing Information

$499 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Torana

Date Founded

2008

Company Location

United States

Company Website

icedq.com

Company Facts

Organization Name

DQOps

Date Founded

2021

Company Location

Poland

Company Website

dqops.com

Categories and Features

Automated Testing

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

Big Data

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

Data Quality

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

Data Warehouse

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

ETL

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

Categories and Features

Data Quality

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

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