Audience

Data warehouses, data lakes, data lakehouses, banks, retail, hospitals

About Digna

digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments.
It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time.

Core Capabilities
* Data Anomaly Detection
Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules.
* Time-Series Analytics
Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform.
* Data Timeliness Monitoring
Tracks expected data arrival times and identifies delays across pipelines and data flows.
* Data Validation
Supports rule-based validation with reusable templates and centralized definitions of allowed values.
* Schema Change Tracking
Detects structural changes in dat

Integrations

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Company Information

digna GmbH
Founded: 2019
Austria
www.digna.ai

Videos and Screen Captures

Your Weekly Data Overview at a Glance  Immediately upon login, Digna presents a comprehensive weekly data overview, offering insights and detecting anomalies instantly.

Your Weekly Data Overview at a Glance Immediately upon login, Digna presents a comprehensive weekly data overview, offering insights and detecting anomalies instantly.

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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Videos
Support
Phone Support

Digna Frequently Asked Questions

Q: What kinds of users and organization types does Digna work with?
Q: What languages does Digna support in their product?
Q: What kind of support options does Digna offer?
Q: What other applications or services does Digna integrate with?
Q: What type of training does Digna provide?
Q: What pricing for training is available for Digna?

Digna Product Features

Data Management

Information Governance
Data Analysis
Data Migration
Data Quality Control
Master Data Management
Customer Data
Data Integration
Match & Merge
Data Capture
Data Security

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management