Dignadigna GmbH
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Related Products
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About
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
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About
Monitor, control, and automate spacecraft operations. Operate multiple missions, diverse satellites,
and various payloads within a unified interface. Control multiple satellite types in a single interface allowing for legacy fleet migration and next-gen payload support. Track spacecraft, reserve contacts, automate tasking, and intelligently respond to ground and space incidents with Quindar Mission Management. Harness the power of advanced analytics and machine learning to turn data into actionable intelligence. Make decisions faster via predictive maintenance, trend analysis, and anomaly detection. Leveraging data-driven insights that propel your mission forward. Built to integrate seamlessly with your existing systems and third-party applications. As your needs evolve, your operations can too without the constraint of vendor lock-in. Analyze flight paths and commands across most C2 systems.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data warehouses, data lakes, data lakehouses, banks, retail, hospitals
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Audience
Organizations seeking a solution to streamline and automate designs, tests, and operations for constellations
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company Informationdigna GmbH
Founded: 2019
Austria
www.digna.ai
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Company InformationQuindar
United States
www.quindar.space/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
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Integrations
Bitbucket
Not Supported
Git
Not Supported
GitHub
Not Supported
GitLab
Not Supported
Grafana Cloud
Not Supported
IBM Netezza Performance Server
Supported
MariaDB
Supported
MySQL
Supported
PagerDuty
Not Supported
PostgreSQL Maestro
Supported
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Integrations
Bitbucket
Supported
Git
Supported
GitHub
Supported
GitLab
Supported
Grafana Cloud
Supported
IBM Netezza Performance Server
Not Supported
MariaDB
Not Supported
MySQL
Not Supported
PagerDuty
Supported
PostgreSQL Maestro
Not Supported
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