Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DataMatch Enterprise (DME) is Data Ladder's entity resolution and data matching platform. It identifies records that refer to the same person, business, or entity across disconnected systems, then links and consolidates them into a single accurate record. Core functions include data profiling, standardization, matching, deduplication, and merging, supporting use cases such as Customer 360, KYC, fraud detection, and master data management.
The platform is available through a no-code visual interface for business users and a REST API for developers, allowing the same matching engine to be embedded in applications, data pipelines, or AI agent workflows. Match results are rule-based and traceable, so users can see the specific logic behind each linked record rather than a single opaque score.
Recent additions include entity graphs for visualizing connected records, live search for real-time matching, and Docker as a deployment option in addition to cloud and on-premises environments.
Independent benchmarking across 15 studies shows DME identifying 5 to 12% more matches than comparable tools, with fewer false positives and accuracy up to 99%. In a large-scale test, it processed 10 million records in 41 minutes.
Description
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. MatchX also provides advanced entity resolution techniques like phonetic and semantic matching to unify records with high precision. Its role-based workflows and audit trails facilitate compliance and governance across industries. Real-time AI-driven dashboards deliver continuous monitoring of data quality, trends, and compliance status. This end-to-end automation enhances operational efficiency while reducing risks associated with poor data. Built to handle massive data volumes, MatchX scales effortlessly with evolving business demands.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Apache Kafka
No
Collibra
No
Looker
No
Microsoft Power BI
No
PostgreSQL
No
Salesforce
No
Tableau
No
Integrations
Apache Kafka
Yes
Collibra
Yes
Looker
Yes
Microsoft Power BI
Yes
PostgreSQL
Yes
Salesforce
Yes
Tableau
Yes
Pricing Details
starts at $10000/user per year
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Vendor Details
Company Name
VE3 Global
Founded
2010
Country
United Kingdom
Website
www.ve3.global/matchx/
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
No
Data Consolidation / ETL
No
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
Yes
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
Yes
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
Yes
Master Data Management
No
Match & Merge
Yes
Metadata Management
No
Product Features
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
Yes
Master Data Management
Yes
Match & Merge
Yes
Metadata Management
Yes