kitio.aiAdded Nov 5, 2026
digna
PaidData quality monitoring that learns your data and runs on your own servers
What is digna?
digna is a data quality and observability platform that learns how your tables normally behave and flags anomalies, late data and schema changes. It runs entirely inside your own infrastructure, which suits banks, healthcare, telecoms and public sector bodies.
Metrics are calculated inside the database, and AI models learn the usual patterns so teams get alerts without writing every rule by hand. The goal is to catch broken dashboards, stale reports and bad inputs to AI models before they reach decisions.
The 2026 release brings observability checks into code so data engineers can work with them in their own workflows. Because nothing leaves your environment, digna fits organizations with strict data sovereignty rules. Pricing is arranged after a demo.
Features
- Automatic anomaly detection
- Late data alerts
- Schema change tracking
- In-database metric calculation
- Self-hosted deployment
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Releases
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Organization
digna
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Paid
- Paid options from
- Not listed
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Pros and cons
Pros
- Data never leaves your infrastructure
- Learns normal behaviour instead of fixed rules
- Built for regulated industries
Cons
- No public pricing
- Requires a demo to get started
- Self-hosting adds setup work
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Q&A
What is digna?
digna is a data quality and observability platform that learns how your tables normally behave and flags anomalies, late data and schema changes. It runs entirely inside your own infrastructure, which suits banks, healthcare, telecoms and public sector bodies.
How much does digna cost?
digna is paid.
Is there a free version of digna?
No. digna is a paid tool.
What are the main features of digna?
Automatic anomaly detection, Late data alerts, Schema change tracking, In-database metric calculation, Self-hosted deployment.
Who makes digna?
digna is made by digna.
What are the best alternatives to digna?
Popular alternatives include Anomalo, Splunk, Honeycomb.