130+ Connectors. Your Entire Stack, One Catalog.
Snowflake · BigQuery · Redshift · Databricks · PostgreSQL · MySQL · MongoDB · Airflow · dbt · Dagster · Tableau · Looker · PowerBI · Metabase · Slack · Teams
The Hidden Cost of Untrusted Data
When data quality is an afterthought, the consequences compound across every team, every report, and every decision.
15%
Revenue Lost to Poor Data Quality
Organizations lose an average of 15% of revenue annually to decisions made on inaccurate or incomplete data. Source: Gartner.
73%
Issues Found Downstream
Nearly three-quarters of data issues are caught downstream by a consumer rather than upstream by a test, long after trust has eroded.
40hrs
Monthly on Manual Reconciliation
Data teams spend 40+ hours monthly reconciling discrepancies that automated quality checks would catch in seconds.
Zero‑Compromise Data Accuracy
Continuous streaming checks flag outliers, anomalies and schema drift the moment they occur, cutting false positives by up to 40%.
Faster Insights, Lower Costs
Trusted, fully‑scored data accelerates modelling and reporting while eliminating hours of manual cleansing and reconciliation.
Audit‑Ready Compliance
Automated evidence packs and lineage maps to align data, reducing audit preparation time by 70 %.
Future‑Proof Governance
A unified metadata hub and no‑code rule builder empower business teams to adapt controls as regulations evolve—without IT bottlenecks.
Validate Every Record Before It Reaches Production
Streaming quality checks catch outliers, schema drift, and reconciliation failures the moment they occur, not after a stakeholder flags a broken report. Every record is validated against your rules before it reaches production.
No-Code Data Testing
Anomaly Detection AI
Schema Drift Detection
Freshness + Volume Checks
Trace Every Data Point from Source to Dashboard
Column-level lineage maps show exactly how data flows through your pipelines, transformations, and reports. During an audit or a post-incident review, demonstrate the complete chain of custody for every record, from ingestion to the final number in the report.
Column-Level Lineage
PII Flow Mapping
Root-Cause in Minutes
Full Chain of Custody
Discover, Classify, and Govern Every Data Asset
A single searchable catalog across every database, warehouse, pipeline, and dashboard in your estate. Automated PII tagging, role-based access control, and certification badges give compliance teams the governance layer they need — without slowing down the engineers who build on the data.
130+ Data Connectors
Automated PII Classification
Semantic + Hybrid Search
Data Contracts (ODCS 3.1)
Governed Context for Every AI Agent
DataQualityHQ ships an embedded MCP server that exposes your catalog, lineage, quality, and glossary to Claude Desktop, Claude Code, Cursor, VS Code, and Goose. Agents answer questions about metric definitions, lineage, ownership, and freshness, then take governed write actions like creating tests, lineage edges, and glossary terms under the same RBAC and ABAC policies that govern your people. Semantic search and an RDF knowledge graph give humans and agents the same trusted context.
Embedded MCP Server
13 Governed Tools
Claude, Cursor, VS Code
Semantic + Knowledge Graph
How DataQualityHQ Works
Connect your sources and DataQualityHQ profiles, tests, and monitors every critical dataset, surfacing issues before they reach the people who depend on the data.
01
Connect & Catalog
Point DataQualityHQ at your warehouses, lakes, pipelines, and BI tools. Automated ingestion catalogs every asset and builds column-level lineage across your estate.
02
Profile & Baseline
Continuous profiling and quality scoring establish a trusted baseline for every dataset, so you always know the current state of your data.
03
Test & Detect
04
Alert & Resolve
Incidents route to the right owner with full root-cause context over Slack, Teams, or email, so problems get fixed before they spread.
Data Analysts and Scientists
High-integrity, pre-scored datasets reduce model drift and speed experimentation. Stop wasting cycles cleaning data that should have been validated upstream.
Data Engineers
Declarative rules and auto-remediation shrink pipeline break-fix cycles. Visual lineage makes root-cause analysis minutes instead of hours.
Data Stewards and CDOs
Enforce governance policies, manage PII classifications, and build an enterprise business glossary, with automated evidence packs ready for any audit or compliance review.
Ready to trust your data?
Start with a complimentary data quality assessment. We'll profile your most critical datasets, identify gaps, and show you exactly where DataQualityHQ fits into your stack.