Digna

Digna

digna GmbH
MatchX

MatchX

VE3 Global
+
+

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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

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/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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 Information

digna GmbH
Founded: 2019
Austria
www.digna.ai

Company Information

VE3 Global
Founded: 2010
United Kingdom
www.ve3.global/matchx/

Alternatives

Alternatives

DataMatch

DataMatch

Data Ladder

Categories

AI Data Analytics Supported
AI Tools Supported
Anomaly Detection Supported
Data Management Supported
Data Quality Supported

Categories

Data Matching Supported
Data Quality Supported

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
SQL Server Supported
Salesforce Not Supported
Snowflake Supported
Tableau Not 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
SQL Server Not Supported
Salesforce Supported
Snowflake Not Supported
Tableau Supported
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