MatchX

MatchX

VE3 Global
+
+

Related Products

  • DataBuck
    6 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • D&B Connect
    188 Ratings
    Visit Website
  • Plauti
    124 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • Code-Cube.io
    7 Ratings
    Visit Website
  • Semarchy xDM
    64 Ratings
    Visit Website
  • Resco Inspections+
    68 Ratings
    Visit Website
  • Lenso.ai
    2 Ratings
    Visit Website

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.

About

See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.

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

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

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

Audience

Businesses in need of a platform to build trust for confident decisions

Support

Phone Support Supported
24/7 Live Support Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not 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 Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

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

Company Information

Validio
Founded: 2019
validio.io

Alternatives

Alternatives

DataMatch

DataMatch

Data Ladder

Categories

Data Matching Supported
Data Quality Supported

Categories

Anomaly Detection Supported
Data Catalog Supported
Data Lineage Supported
Data Observability Supported
Data Quality 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 Supported
PostgreSQL Supported
Amazon Kinesis Not Supported
Amazon Redshift Not Supported
Amazon S3 Not Supported
Azure Synapse Analytics Not Supported
Collibra Supported
Gmail Not Supported
Google Cloud BigQuery Not Supported
Google Cloud Pub/Sub Not Supported
Google Cloud Storage Not Supported
Looker Supported
Microsoft Power BI Supported
Microsoft Teams Not Supported
PagerDuty Not Supported
SQL Server Not Supported
Salesforce Supported
Slack Not Supported
Snowflake Not Supported
dbt Not Supported

Integrations

Apache Kafka Supported
PostgreSQL Supported
Amazon Kinesis Supported
Amazon Redshift Supported
Amazon S3 Supported
Azure Synapse Analytics Supported
Collibra Not Supported
Gmail Supported
Google Cloud BigQuery Supported
Google Cloud Pub/Sub Supported
Google Cloud Storage Supported
Looker Not Supported
Microsoft Power BI Not Supported
Microsoft Teams Supported
PagerDuty Supported
SQL Server Supported
Salesforce Not Supported
Slack Supported
Snowflake Supported
dbt Supported
Claim MatchX and update features and information
Claim MatchX and update features and information
Claim Validio and update features and information
Claim Validio and update features and information