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What is Digna?
digna is a next-generation data quality and observability platform designed to help organizations build trust in their data, detect issues early, and understand how their data behaves over time.
As data environments grow in complexity, traditional monitoring approaches are no longer enough. digna goes beyond static checks and dashboards by combining observability with analytics, enabling teams to not only detect anomalies but also interpret patterns, trends, and changes in data behavior.
Comprehensive Data Observability Across Your Entire Platform
digna is built as a modular platform with five independent components that can be deployed together or separately, depending on your needs:
* Data Anomalies — Detect unexpected changes in data volumes, distributions, and behavior using AI-driven anomaly detection without manual rules
* Data Analytics — Understand trends, patterns, and seasonality through built-in time-series analysis
* Data Timeliness — Monitor data delivery and ensure pipelines meet expected arrival times
* Data Validation — Enforce data quality rules and compliance with flexible, scalable validation logic
* Data Schema Tracker — Detect schema changes in real time to prevent pipeline failures and downstream issues
Together, these modules provide full visibility into both data quality and business data behavior.
Key Advantages
* In-database processing ensures data never leaves your environment, supporting privacy, security, and regulatory compliance
* AI-driven anomaly detection eliminates the need for manually defined rules
* Built-in analytics capabilities enable teams to understand data trends and behavior without external tools
* Scalable validation framework supports consistent data quality across complex data environments
* Schema change tracking protects pipelines from breaking changes
Designed for Modern Data Platforms
digna integrates seamlessly with leading data platforms including Snowflake, Databricks, Teradata, and more.
What is Azure AI Metrics Advisor?
Implement AI-based monitoring tools to proactively tackle incidents without requiring expertise in machine learning. Azure AI Metrics Advisor, which employs the AI Anomaly Detector as part of the Azure AI Services suite, allows you to effectively monitor key growth elements within your organization, including sales and manufacturing operations. This powerful solution facilitates quick detection and resolution of issues through near real-time monitoring, adaptive modeling that caters to your unique context, and comprehensive diagnostics paired with alert notifications. The user-friendly interface of AI Metrics Advisor streamlines the management of extensive data monitoring, effortlessly integrating with popular time-series databases while also providing stream monitoring features. It assesses all possible combinations of dimensions to pinpoint affected areas for in-depth root-cause analysis and diagnostics, in addition to generating alerts. Furthermore, a guided autotuning feature is available, enabling you to customize the service to meet your specific needs, thus optimizing the overall monitoring experience. By harnessing these sophisticated capabilities, organizations can significantly boost their operational efficiency and agility in addressing new challenges, ultimately leading to improved decision-making and resource allocation. This proactive approach ensures that businesses remain ahead of potential issues, fostering a culture of continuous improvement and resilience.
Integrations Supported
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server
Integrations Supported
Azure AI Anomaly Detector
Azure AI Services
Crestwood Cloud
Microsoft Azure
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$0.75 per 1,000 time series
Free Trial Offered?
Supported Platforms
SaaS
On-Prem
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
digna GmbH
Date Founded
2019
Company Location
Austria
Company Website
www.digna.ai
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/ai-services/ai-metrics-advisor/
Categories and Features
AI Data Analytics
Not specified
AI Tools
Not specified
Anomaly Detection
Not specified
Data Management
Not specified
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and Features
Business Performance Management
Not specified
