automated data quality testing tools - AI tools

iceDQ is an AI-powered data reliability platform that automates data testing, monitoring, and observability for enterprises, ensuring quality throughout the data development lifecycle.

• Free Trial

BiG EVAL is an AI-powered data reliability platform that automates validation and monitoring of enterprise data quality, providing automated testing for data development projects with massive scaling capabilities.

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DQOps is an advanced AI-powered platform designed to profile, automate, and monitor data quality across all data lifecycle stages, ensuring operational confidence and compliance. It leverages machine learning for rule automation, anomaly detection, and comprehensive KPI-based data quality monitoring for organizations.

• Paid
• From 600$

SYNQ is an AI-powered data quality and observability platform that combines testing, monitoring, incident management, and issue resolution to ensure reliable data products.

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DQLabs provides an AI-driven platform combining data observability, quality, discovery, and remediation to help organizations deliver reliable and accurate data for improved business outcomes.

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Deyde MyDataQ is an advanced data quality tool that validates, corrects, and enriches business databases to ensure accuracy and reliability for strategic decision-making.

• Free Trial

digna is an AI-powered data quality and observability platform that automatically detects anomalies, monitors data arrival, validates records, and tracks schema changes to ensure reliable business insights.

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Metaplane is a data observability platform that helps data teams monitor data quality, lineage, and spend, ensuring data reliability and trust.

• Freemium

E-Data Now! (EDN) is a no-code, cloud-based platform that automates and digitizes audit and quality inspection processes for manufacturing, construction, and compliance-focused teams, driving efficiency and real-time data insights.

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