EUROPEAN INNOVATION
Next Generation Platform
for Data Quality & Observability
Next Generation Platform
for Data Quality & Observability
Next Generation Platform
for Data Quality & Observability
From install to insights in under 2 hours.
Problem
Are Data Issues Silently Impacting Your Business?
Stale reports, broken dashboards, and untrustworthy AI models can lead to misguided decisions and significant operational costs.
VIEW MORE
Problem
Are You Sitting on Valuable Data — But Missing the Signals?
When data teams lack the tools to surface hidden patterns or anomalies, valuable insights remain buried — leading to missed opportunities, undetected risks, and reactive firefighting.
VIEW MORE
Problem
Are Data Issues Silently Impacting Your Business?
Stale reports, broken dashboards, and untrustworthy AI models can lead to misguided decisions and significant operational costs.
VIEW MORE
Problem
Are You Sitting on Valuable Data — But Missing the Signals?
When data teams lack the tools to surface hidden patterns or anomalies, valuable insights remain buried — leading to missed opportunities, undetected risks, and reactive firefighting.
VIEW MORE
Trusted by leading organizations in
FINANCE
FINANCE
HEALTHCARE
TELECOMMUNICATIONS
PUBLIC SECTOR
FINANCE
HEALTHCARE
TELECOMMUNICATIONS
PUBLIC SECTOR
Trusted by leading organizations in
FINANCE
HEALTHCARE
TELECOMMUNICATIONS
PUBLIC SECTOR
FINANCE
HEALTHCARE
TELECOMMUNICATIONS
PUBLIC SECTOR
How digna Works
digna automatically calculates data metrics in‑database, learns baselines, analyses trends, monitors arrival schedules, calculates expected delivery time, and flags schema drift — all from one intuitive UI.
"Unlike observability-only tools, digna solves real data quality problems:"
digna Data Anomalies
Leverages AI to automatically learn your data’s normal behavior and continuously monitor for unexpected changes — no manual setup or rule maintenance required.
digna Data Anomalies
Leverages AI to automatically learn your data’s normal behavior and continuously monitor for unexpected changes — no manual setup or rule maintenance required.
digna Data Anomalies
Leverages AI to automatically learn your data’s normal behavior and continuously monitor for unexpected changes — no manual setup or rule maintenance required.
digna Data Analytics
Analyzes historical observability metrics to uncover trends and anomalies. Identifies fast-changing or volatile metrics and highlights key statistical patterns.
digna Data Analytics
Analyzes historical observability metrics to uncover trends and anomalies. Identifies fast-changing or volatile metrics and highlights key statistical patterns.
digna Data Analytics
Analyzes historical observability metrics to uncover trends and anomalies. Identifies fast-changing or volatile metrics and highlights key statistical patterns.
digna Data Timeliness
Monitors data arrival by combining AI-learned patterns with user-defined schedules to detect delays, missing loads, or early deliveries.
digna Data Timeliness
Monitors data arrival by combining AI-learned patterns with user-defined schedules to detect delays, missing loads, or early deliveries.
digna Data Timeliness
Monitors data arrival by combining AI-learned patterns with user-defined schedules to detect delays, missing loads, or early deliveries.
digna Data Validation
Designed to validate data against user-defined rules at the record level - supporting business logic enforcement, audit compliance, and targeted data quality control.
digna Data Validation
Designed to validate data against user-defined rules at the record level - supporting business logic enforcement, audit compliance, and targeted data quality control.
digna Data Validation
Designed to validate data against user-defined rules at the record level - supporting business logic enforcement, audit compliance, and targeted data quality control.
digna Data Schema Tracker
Continuously monitors structural changes in configured tables - identifying added or removed columns and data type changes.
digna Data Schema Tracker
Continuously monitors structural changes in configured tables - identifying added or removed columns and data type changes.
digna Data Schema Tracker
Continuously monitors structural changes in configured tables - identifying added or removed columns and data type changes.
Why the World’s Leading Data Teams Choose digna
AI-Powered Precision
Combines statistical rigor with machine learning for smarter anomaly detection.
In-database Execution
Performs data analysis within your database. Your data stays where it belongs.
Built for Scale
Designed for enterprise data warehouses, lakes, and pipelines.
User-Centric Dashboard
No PhD required—intuitive dashboard for data engineers, analysts, and stakeholders.
Private Cloud or On-Prem Deployment
Deploy in your environment — private cloud or on-prem — we never access your data.
In-database Execution
Performs data analysis within your database. Your data stays where it belongs.
Meet the Team Behind the Platform
A Vienna-based team of AI, data, and software experts backed by academic rigor and enterprise experience.
Meet the Team Behind the Platform
A Vienna-based team of AI, data, and software experts backed by academic rigor and enterprise experience.
Meet the Team Behind the Platform
A Vienna-based team of AI, data, and software experts backed by academic rigor and enterprise experience.
Resources
Insights for Data Professionals Stay ahead with digna's expert resources on data observability, data quality, and the modern data stack.
Why European Enterprises Need a Sovereign Data Quality & Observability Platform
October 28, 2025
5
min read
Why European Enterprises Need a Sovereign Data Quality & Observability Platform
October 28, 2025
5
min read
Introducing digna Release 2025.09 — A Modular Architecture for Data Quality and Observability
October 21, 2025
2
min read
Introducing digna Release 2025.09 — A Modular Architecture for Data Quality and Observability
October 21, 2025
2
min read
How to Maintain Data Availability: Best Practices for Continuous Access to Critical Business Data
June 10, 2025
5
min read
How to Maintain Data Availability: Best Practices for Continuous Access to Critical Business Data
June 10, 2025
5
min read
Why European Enterprises Need a Sovereign Data Quality & Observability Platform
October 28, 2025
5
min read
Introducing digna Release 2025.09 — A Modular Architecture for Data Quality and Observability
October 21, 2025
2
min read