MYSQL DATA QUALITY
Trust the data inside your MySQL databases
digna monitors, validates and tracks MySQL data directly in your environment: anomalies, truncated values, 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 MySQL databases can be healthy while your data is not
Replication can be caught up, queries can be fast and every insert can commit. And the services and reports built on those tables can still be working with values that were quietly adjusted on the way in, or rows that never arrived at all. digna monitors the data itself, catching quality problems that database and pipeline monitoring were never built to see. Combine the capabilities below into the MySQL data quality solution you actually need.
Monitor MySQL data where it lives
digna runs data quality checks directly in your MySQL 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 status should belong to an approved list. A nightly export should land before 6:00 AM. digna keeps validating all of that — and watches for what no rule describes: inserts quietly stopping, a distribution shifting after a release, a table that simply stops growing.
What breaks quietly in MySQL
MySQL is forgiving by design, and that is exactly where defects hide. Values get adjusted, rows get skipped, and every job keeps succeeding — so nothing surfaces until a number looks wrong weeks later.
One data quality layer for every MySQL deployment
Whether MySQL runs self-managed, on a managed cloud service, or across dozens of per-service databases, digna provides one consistent data quality layer.
Self-managed MySQL
Monitor critical tables and datasets inside your own infrastructure.
Managed MySQL 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.
Hundreds of databases, one quality layer
MySQL estates rarely stay in one place. A database per service, per tenant or per environment turns data quality into per-instance scripts that nobody maintains. digna applies the same monitoring across all of them and reports it in one place.
MySQL data quality questions
Direct answers about how digna runs inside a MySQL environment, what it detects and what it leaves untouched.
