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About

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

About

iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks. With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data observability platform that helps companies prevent data catastrophes

Audience

Companies that need a powerful DataOps platform for testing and monitoring

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$1000
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • 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.

Cons

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

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

Datafold
United States
www.datafold.com

Company Information

iceDQ
Founded: 2005
United States
icedq.com

Alternatives

DataBuck

DataBuck

FirstEigen

Alternatives

DataBuck

DataBuck

FirstEigen

Categories

Data Observability Supported
Data Quality Supported
DataOps Supported
Regression Testing Supported

Categories

Automated Testing Supported
Big Data Supported
Data Migration Supported
Data Quality Supported
Data Validation Supported
Data Warehouse Supported
DataOps Supported
ETL Supported

Automated Testing Features

Hierarchical View Not Supported
Move & Copy Supported
Parameterized Testing Supported
Requirements-Based Testing Supported
Security Testing Not Supported
Supports Parallel Execution Supported
Test Script Reviews Not Supported
Unicode Compliance Not Supported

Integrations

Amazon Redshift Supported
Amundsen Supported
Apache Airflow Supported
Azure Databricks Supported
Cloudera Not Supported
DataHub Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
Jenkins Not Supported
PagerDuty Supported
PostgreSQL Supported
Secoda Supported
Slack Supported
Snowflake Supported
dbt Supported

Integrations

Amazon Redshift Not Supported
Amundsen Not Supported
Apache Airflow Not Supported
Azure Databricks Not Supported
Cloudera Supported
DataHub Not Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud BigQuery Not Supported
Jenkins Supported
PagerDuty Not Supported
PostgreSQL Not Supported
Secoda Not Supported
Slack Not Supported
Snowflake Not Supported
dbt Not Supported
Claim Datafold and update features and information
Claim Datafold and update features and information
Claim iceDQ and update features and information
Claim iceDQ and update features and information