Stop Firefighting.
Start Preventing.
Your data engineers spend 40% of their time debugging issues. DataHub Cloud delivers automated monitoring, AI-powered anomaly detection, and instant root cause analysis. Catch issues before dashboards break.
Trusted by industry leaders
Data Issues Cost More Than You Think
Every data incident erodes trust, wastes engineering time, and impacts business decisions.
40% of Time Lost
Data engineers spend nearly half their time debugging and firefighting data quality issues instead of building.
Broken Dashboards
Executives discover data issues through wrong numbers in board meetings. Trust in data erodes with every incident.
$15M+ Annual Cost
The average enterprise loses over $15 million annually to poor data quality. Most issues are preventable.
The True Cost of Reactive Data Management
See how much your team could save with proactive observability.
From Firefighting to Prevention
Everything you need to monitor, detect, and resolve data quality issues at scale.
Proactive Data Quality Monitoring
Define schema, freshness, volume, and custom quality checks that run automatically across hundreds of columns. Smart alerts fire to owners when data deviates from expected patterns.
- One-click bulk monitor creation for thousands of tables
- Complete lineage with suggested resolution actions
- Data Contracts enforce SLAs automatically
AI-Powered Anomaly Detection
ML-powered detection spots unexpected patterns in data volume, distribution, and quality metrics that rule-based checks miss. Models learn your data patterns and adapt over time.
- Smart Assertions learn and adapt automatically
- Reduces false positives by 90%+
- Catches issues rule-based systems miss
Column-Level Impact Analysis
Know exactly what breaks when upstream data changes. Column-level lineage traces data flow from source to dashboard. Blast radius analysis shows affected models, reports, and teams instantly.
- Trace incidents from dashboards to source tables
- See affected teams before changes merge
- Coordinate proactively with stakeholders
End-to-End Incident Management
Built-in workflows manage incidents from detection to resolution. Historical patterns, schema changes, and quality trends surface root causes in minutes instead of hours.
- 4 severity levels for smart prioritization
- Auto-route to dataset owners and experts
- Slack & email integration for real-time alerts
Get Started in Minutes, Not Months
Four simple steps to transform your data quality operations.
Connect Your Stack
100+ pre-built integrations with Snowflake, Databricks, BigQuery, dbt, Airflow, and more. No code required.
Auto-Discover Assets
DataHub automatically catalogs your tables, columns, and lineage. ML suggests monitors based on data patterns.
Enable Monitoring
One-click bulk creation of freshness, volume, and schema monitors. Set thresholds or let AI learn them.
Resolve Proactively
Get alerted before issues impact users. Root cause analysis and lineage help you fix problems in minutes.
Built for Every Data Role
Purpose-built workflows for your entire data organization.
Trust Dashboards Instantly
Freshness monitors and certification badges identify which datasets are production-ready. No more Slack pings to verify data.
Zero Breaking Changes
See downstream impact across the entire pipeline. Alerts notify affected teams before changes merge so you coordinate proactively.
Verify Provenance Fast
Column-level lineage connects model and feature pipelines to source data. Verify provenance in seconds, not hours.
Trusted by Industry Leaders
"Before bringing DataHub on board, our data teams would see multiple breaking changes per week. Since integrating DataHub into our workflow, DataHub has helped us significantly reduce the number of breaking changes, to the extent that they are no longer a burden on all teams."
Deutsche Telekom
Data Platform Lead
"DataHub simplified discovery and resolved pipeline issues faster than any tool we've used."
Notion
Data Engineering Manager
"We scaled metadata management while improving impact analysis and GDPR compliance."
Chime
Staff Data Engineer
"DataHub Cloud unified producers and consumers with shared ownership and proactive quality monitoring."
Common Questions
Ready to Stop Firefighting?
Join 3,000+ data teams who've transformed their data quality operations with DataHub Cloud.