ORACLE DATA QUALITY
Trust the data inside your Oracle database
digna monitors, validates and tracks Oracle data directly in your environment: anomalies, rules, delivery times, schema changes, quality trends, with nothing copied out for checking. AI learns what normal looks like, so you don't write a rule for every case.
Your Oracle database can be healthy while your data is not
Oracle can run normally. Pipelines can complete on schedule. And your dashboards can still be built on incorrect, incomplete or outdated data. digna monitors the data itself, catching quality problems that database and pipeline monitoring were never built to see. Combine the capabilities below into the Oracle data quality solution you actually need.
Monitor Oracle data where it lives
digna runs data quality checks directly in your Oracle environment — nothing is copied into an external platform just to be checked.
Cover what you expect, and what you don't
Rules still matter. A column shouldn’t be NULL. A value should match a format. A table should arrive by 6:00 AM. digna keeps validating all of that — and watches for what no rule describes: a table quietly losing 30% of its rows, a distribution shifting, a load arriving later each night.
One data quality layer for every Oracle environment
Whether your Oracle database supports operational applications, enterprise reporting, data warehousing or critical business processes, digna provides one consistent data quality layer.
Oracle Database
Monitor critical tables and datasets directly in your environment.
Enterprise data warehouses
Observe large-scale analytical datasets and catch unexpected changes.
Critical business data
Protect financial, customer, regulatory and operational data continuously.
On-premises, private or public cloud
Stay within your existing infrastructure and security model.
Choose where to start
Start with the problem you need to solve. Combine capabilities as your requirements grow.
