Data quality management software for platform engineers
Your pipelines pass. Your dashboards break anyway. DataHub gives platform engineers automated assertions, real-time monitoring, and incident response in one platform.
- Seven assertion types covering freshness, volume, schema, and field checks
- Alerts routed to Slack, Teams, or email the moment a check fails
- Full GraphQL and REST API access for code-first quality workflows
See data quality management in action
Book a 30-minute session scoped to your stack.
Why does data quality management keep failing?
Pipelines pass validation. Dashboards still break. The gap between checked and trusted costs your team hours it does not have.
Checks without context
Assertions fire in isolation. No lineage means no way to know what broke downstream or who owns the fix.
Alerts no one acts on
Notifications land in Slack with no priority, no assignee, and no path to resolution.
Quality lives outside the catalog
Standalone tools fragment your stack. Engineers context-switch between five systems to answer one question.
No API, no automation
Rules defined in a UI cannot be version-controlled, tested in CI, or deployed programmatically.
One platform for data quality management
Assertions, profiling, incident response, and data contracts unified with your catalog so every quality signal carries ownership and lineage from day one.
Seven assertion types, one platform
Cover freshness, volume, schema, field values, custom SQL, and more from a single control plane tied to your data catalog.
- Freshness, volume, and schema assertions built in
- Custom SQL assertions for domain-specific logic
- All results stored with full lineage context
Automated profiling, 15+ sources
Connect to Snowflake, BigQuery, Redshift, dbt, and more. Profiling runs on a schedule or on demand with no manual configuration per table.
- Scheduled and on-demand profiling supported
- Column-level statistics tracked over time
- Results surfaced inside the DataHub catalog
Incident management with lineage
When a check fails, DataHub opens an incident, maps impact through column-level lineage, and routes it to the right owner automatically.
- Incidents linked to upstream and downstream assets
- Owner assignment based on catalog metadata
- Slack and Teams notifications with direct asset links
Data contracts as code
Define schema, freshness, and quality expectations in YAML. Version-control them, test them in CI, and enforce them in production without touching a UI.
- YAML-based contract definitions in your repo
- CI integration for pre-merge contract validation
- Violations surface as incidents in the catalog
How it works
Three steps from connection to systematic data quality monitoring. Works with the stack you already have.
Connect your sources
Define assertions and contracts
Route incidents to owners
Built for enterprise-grade data quality monitoring
Deployment flexibility, native integrations, and access controls that meet the requirements of regulated industries and large platform teams.
Deployment options that fit your policy
Run DataHub as a managed cloud service or deploy it in your own VPC. Both options support SSO, RBAC, and audit logging.
Native integrations, no middleware
Connect directly to Snowflake, BigQuery, Redshift, dbt, Airflow, Kafka, and 50+ additional sources without an intermediary layer.
API-first for platform teams
Every DataHub action is available via GraphQL and REST. Embed quality checks into your existing CI pipelines and deployment workflows.
Access control at the asset level
Assign view and edit permissions per dataset, domain, or team. Policies sync with your identity provider through SCIM or SAML.
Trusted by modern data teams
Gartner Peer Insights
Engineer, enterprise services company, 1B-10B revenue
Outcome
Faster incident response
"DataHub has become the single source of truth for our data assets. The ability to track lineage and ownership in one place has cut our incident response time considerably."
Frequently asked questions about data quality management software
Ready to make data quality management systematic?
See how DataHub connects assertions, lineage, and incident response in one catalog-native platform. Book a 30-minute demo scoped to your stack, and bring your toughest data quality question.