POSTGRESQL DATA QUALITY
Trust the data inside your PostgreSQL databases
digna monitors, validates and tracks PostgreSQL data directly in your environment: anomalies, value drift, duplicates, delivery times and schema changes, with nothing copied out for checking. AI learns what normal looks like, so you don’t write a rule for every case.
Your PostgreSQL databases can be healthy while your data is not
Postgres can be fast, replicated and fully constrained. Every transaction can commit and every constraint can hold. And the services and reports built on that data can still be working with values that are wrong, records that were never written, or rows that quietly stopped arriving. digna monitors the data itself, catching quality problems that database and pipeline monitoring were never built to see. Combine the capabilities below into the PostgreSQL data quality solution you actually need.
Monitor PostgreSQL data where it lives
digna runs data quality checks directly in your PostgreSQL environment — nothing is copied into an external platform just to be checked.
Cover what you expect, and what you don’t
Constraints still matter, and Postgres enforces them well. digna keeps validating the rules you already know — then watches for what no constraint can describe: inserts quietly stopping, values drifting after a release, a table that simply stops growing.
What breaks quietly in PostgreSQL
Postgres enforces types, keys and constraints, and it enforces them well. The defects that reach reporting are the ones no constraint can describe: legal values that are commercially impossible, and rows that were simply never written.
One data quality layer for every PostgreSQL deployment
Whether Postgres runs self-managed on your own servers or as a managed service, and whether it backs a single application or dozens, digna provides one consistent data quality layer.
Self-managed PostgreSQL
Monitor critical tables and datasets inside your own infrastructure.
Managed Postgres services
Cover managed instances the same way as the ones you run yourself.
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.
Catch it before it reaches the warehouse
PostgreSQL is usually where data is created, not where it is analysed. A defect that starts here is copied into your warehouse, joined into marts and rendered on dashboards before anyone notices. The operational database is the cheapest place to stop it.
PostgreSQL data quality questions
Direct answers about how digna runs inside a PostgreSQL environment, what it detects and what it leaves untouched.
