Data Quality

Deliver data and AI that’s trusted by the business

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Data Quality
Native Quality + Observability

Native Quality + Observability

Combine business-rule quality tests and technical data profiling for higher quality standards

Improve confidence in your data

Improve confidence in your data

Ensure trust in your data to drive decision making, data products, dashboards, and AI/ML

Accelerate productivity with AI and automation

Accelerate productivity with AI and automation

Spend less time and resources managing data quality, while delivering reliable data

Complete data quality testing solution

Deeply understand the quality of your data

Automatic AI quality testing
AI-generated table & column cases, or build your own test suites by UI, YAML, API, or SDK
Anomaly Detection AI
Customizable sensitivity to proactively catch unexpected spikes or drops in unfamiliar data
Comprehensive Quality Dimensions
Test for completeness, accuracy, consistency, validity, uniqueness, integrity, freshness, and more
Automatic Table & Column Data Profiling
Understand the shape of your data and track evolution combined data observability
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Data Diff Quality Tests

Ensure ETL validation, data migration, and feature engineering data consistency

Data Diff Quality Tests

Find and resolve quality issues faster

More complex context for troubleshooting your data problems

Failed sample rows
Review data exceptions from failed tests, while still maintaining PII confidentiality
Inspection queries for failures
Isolate and and fix issue with auto-generated SQL that find the source of the problem
Time Series Test Results
See how quality results change over time, or from new data pipeline deployments
Integrations and APIs
Surface results from Great Expectations, dbt, or custom, or send Collate results to your workflows
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Bring business context to your data

Empower non-technical users to share in data quality responsibilities

Lineage Based Quality Views
See quality test results and pipeline health in lineage to troubleshoot up and down stream
No Code & SQL Quality Tests
Give data analysts and scientists the tools to add business context to data quality
Weekly Health Reports
Get updates on your progress on improving the management of your data
Leadership KPI Dashboards
See overall health metrics, track test coverage, and manage custom quality KPIs
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Architected for modern data practices

Designed for changing needs of data teams

AI-Driven Automation

Improve productivity, enforce governance and reduce costs with AI driven automation

Unified Platform

One platform for all your teams for data discovery, observability and governance

Collaborate Around Data

Accelerate development of data assets with social workspaces and knowledge centers

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Managed Service for Production Data Teams

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