Dignadigna GmbH
|
MatchXVE3 Global
|
|||||
Related Products
|
||||||
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
|
About
MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents.
The result? You get clean, connected, and trusted data — ready for AI, analytics, automation, and everyday business decisions. MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention.
|
|||||
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
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Data warehouses, data lakes, data lakehouses, banks, retail, hospitals
|
Audience
Data engineers, data stewards, and business leaders seeking a scalable AI-driven platform to improve data quality, compliance, and actionable insights across complex datasets
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Not Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company Informationdigna GmbH
Founded: 2019
Austria
www.digna.ai
|
Company InformationVE3 Global
Founded: 2010
United Kingdom
www.ve3.global/matchx/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
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
|
Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Not Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
|
|||||
Integrations
Apache Kafka
Not Supported
Collibra
Not Supported
IBM Netezza Performance Server
Supported
Looker
Not Supported
MariaDB
Supported
Microsoft Power BI
Not Supported
MySQL
Supported
PostgreSQL
Not Supported
PostgreSQL Maestro
Supported
SAP HANA
Supported
|
Integrations
Apache Kafka
Supported
Collibra
Supported
IBM Netezza Performance Server
Not Supported
Looker
Supported
MariaDB
Not Supported
Microsoft Power BI
Supported
MySQL
Not Supported
PostgreSQL
Supported
PostgreSQL Maestro
Not Supported
SAP HANA
Not Supported
|
|||||
|
|
|