Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Ensuring the integrity of software and geocoding involves validating, deduplicating, and preserving accurate address data that can be reliably delivered. The quality of this data reflects the precision and thoroughness with which it represents the entities it denotes. In the realm of postal address verification and data quality, the focus lies on validating, enhancing, and integrating information within address databases to ensure they serve their intended purposes effectively. Various industries depend on accurate postal addresses for a multitude of operations, ranging from shipping logistics to data input in geomarketing and statistical mapping. Maintaining high-quality archives and databases can lead to significant cost and logistical efficiencies for businesses, making operations more streamlined and productive. This critical aspect of data management should not be overlooked, as it contributes greatly to enhanced work processes. Additionally, Egon serves as an accessible online data quality system, providing users with immediate support in managing their address data.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform No 
IBM Cloud No 
Microsoft 365 No 
Oracle Cloud Infrastructure No 
SAP Cloud Platform No 

Integrations

Google Cloud Platform Yes 
IBM Cloud Yes 
Microsoft 365 Yes 
Oracle Cloud Infrastructure Yes 
SAP Cloud Platform Yes 

Pricing Details

starts at $10000/user per year
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
Mac No 
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) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

Ware Place

Founded

1999

Country

Italy

Website

www.egon.com

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

Address Verification

Address Validation No 
Autocomplete No 
Automatic Formatting No 
Data Cleansing No 
Data Discovery No 
Data Quality Control No 
Data Verification No 
Geographic Maps No 
Geolocation No 
Metadata Management No 
Reporting / Analytics No 
Search / Filter No 

Data Quality

Address Validation Yes 
Data Deduplication Yes 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Alternatives

Alternatives

MaxDup OS Reviews

MaxDup OS

Anchor Software
DataMatch Reviews

DataMatch

Data Ladder