Trust every dataset the data team delivers.
Foundation brings quality checks, catalog, lineage, monitoring and governance together in one place.
fin.revenue_daily1 check failed
- row_count within rangePassed
- schema unchangedPassed
- region_code not nullQuarantined
FeedsRevenue by RegionDaily Sales SummaryBoard KPI Pack
Illustrative view with sample data.
A typical momentA column arrives empty overnight. Foundation flags it as the data arrives, shows which reports it feeds, and who owns them.
Catch issues early · Understand impact
What Foundation does
Quality, catalog, lineage, monitoring
- Quality checks at the point data enters, and after it lands
- Auto-quarantine of bad data
- Catalog with ownership, business tags and live health
- Lineage from source to report, down to column level
- Monitoring for late runs, missing data and unusual values
- Access control by group, with View / Edit / Manage levels
How it fits
How Foundation works with your data platform
Your data platform
- Raw sources
- Ingestion
- Lakehouse
Stays as it is — Foundation works alongside it
Foundation
Data qualityChecks at the point data enters, and after it lands. Bad data is quarantined automatically.Raw sources · Ingestion
MonitoringLate runs, missing data and unusual values flagged as they happen.Pipeline runs · Loads
CatalogEvery dataset with its owner, business tags and live health.Lakehouse tables
LineageFrom source to report, down to column level — showing exactly what an issue affects.Source → Lakehouse → Reports
What data teams get
- Alerts with impact and owner
- Trusted, documented datasets
- Known impact on dashboards & reports
Alerts flow into Board as tickets
Start with one data flow. Grow from there.
Pick one data flow that matters to you, and we'll show you what Unityze sees.
- Runs inside your cloud
- Nothing to migrate
- Unlimited users