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Welcome to DeepDQ

Welcome to DeepDQ, the comprehensive AI Data Quality management platform that ensures your data meets the highest standards across your organization.

What is DeepDQ?​

DeepDQ isn’t just another data quality tool — it’s AI-native intelligence built to outclass every traditional approach. Where legacy platforms are trapped in brittle rules and outdated models, DeepDQ delivers contextual, adaptive, and automated quality at enterprise scale.

  • Context-Aware Intelligence – Understands data meaning and relationships, not just surface-level rules.
  • Adaptive to Change – Keeps pace with evolving data pipelines and business processes, without constant reconfiguration.
  • Automated Root-Cause Insights – Detects hidden anomalies, explains why they happen, and suggests corrective actions instantly.
  • Enterprise-Grade Scale – Handles billions of records across hybrid and multi-cloud environments with ease.
  • Always Current, Always Relevant – Data quality checks that stay aligned with today’s patterns, not yesterday’s templates.

💡 With DeepDQ, enterprises move beyond static monitoring into self-optimizing, intelligent data quality — giving teams confidence, agility, and trust at every scale.

Key Features at a Glance​

Sentinels​

Intelligent monitoring agents that continuously watch your data sources for quality issues and anomalies.

Vaults​

Secure containers that stores your data connection configurations. Currently we support the following data warehouses and databases:

  • PostgreSQL
  • Snowflake
  • BigQuery
  • SQL Server
  • MySQL
  • Databricks
  • Oracle
  • RedShift
  • Athena (Coming Soon)

Alert Gateways​

Communication channels that deliver notifications when data quality issues are detected.

Catalog​

Comprehensive metadata management for all your data assets with integrated quality monitoring. Catalog can store the metadata of the tables you wish to catalog and monitor the changes in the schema. If a schema drift is detected, it will send an alert and create a new schema version for the particular catalog. This supports schema discovery, schema drift monitoring, schema versioning, schema change alerting, etc.

Data Lineage​

End-to-end visibility into how your data flows through systems and transformations. This support lineage creation over the catalog tables, virtual nodes with support for multi vault lineage mapping. It also supports automatic schema evolution so you dont have to update the lineage when the catalog schema changes.

IAM​

Identity and access management for your data quality team.

Alert Center​

Alert Center provides you logging and alert details for the Sentinel runs and Catalog runs. This is extremly useful if you want to know the run status, details and debug any potential issues.

DeepAnalyze Bot​

DeepAnalyze Bot aka DAB is an agentic chatbot though which you can chat in natural language and get insights on your data.

Project-Based Organization​

DeepDQ uses a project-based approach to organize your work. You can select different projects from the dropdown in the top navigation to switch between different data quality initiatives or environments.