SQL SERVER DATA QUALITY
Trust the data inside your SQL Server databases
digna monitors, validates and tracks SQL Server data directly in your environment: anomalies, rows redirected at load, 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 SQL Server estate can be healthy while your data is not
Instances can be tuned, agent jobs can complete and packages can report success. And the reports built on those tables can still be built on incomplete, duplicated or out-of-date data. digna monitors the data itself, catching quality problems that server and pipeline monitoring were never built to see. Combine the capabilities below into the SQL Server data quality solution you actually need.
Monitor SQL Server data where it lives
digna runs data quality checks directly in your SQL Server 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 key should exist in the reference table. A nightly job should land before 6:00 AM. digna keeps validating all of that — and watches for what no rule describes: rows quietly disappearing, a distribution shifting, a job finishing later every night.
What breaks quietly in SQL Server
The defects that reach reporting are rarely the ones that fail a job. They pass through packages, merges and deployments without raising anything, then surface weeks later as numbers nobody can reconcile.
One data quality layer for every SQL Server deployment
Whether SQL Server runs on your own servers, as a managed Azure service, or across dozens of instances, digna provides one consistent data quality layer.
SQL Server instances
Monitor critical tables and datasets inside your own infrastructure.
Azure SQL and managed services
Cover managed databases 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.
Prove the data still matches after a move to Azure
Modernising onto Azure SQL, Managed Instance or Fabric puts every downstream report at risk. digna monitors the source and the target, so you can see dataset by dataset whether what arrived matches what left.
SQL Server data quality questions
Direct answers about how digna runs inside a SQL Server environment, what it detects and what it leaves untouched.
