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Average Ratings 0 Ratings

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ease
features
design
support

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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

Match2Lists provides the quickest, simplest, and most precise solution for matching, merging, and de-duplicating your data. With our Match2D&B feature, you can seamlessly enhance your datasets with Dun & Bradstreet information whenever needed. Within a matter of minutes, you can rid your data of duplicates and integrate disparate raw data into impactful insights. Our primary goal is to achieve the highest match results possible for our clients. Before we developed Match2Lists, we operated analytics and data visualization firms, utilizing various "fuzzy" matching software available in the industry. Frustrated by their inadequate match outcomes, we dedicated ten years to crafting the most sophisticated data matching algorithms. Our secondary goal is to optimize time: we aim to allow our clients to devote less time to data matching and cleansing, and instead focus on analysis and execution. This led us to implement our cutting-edge matching logic on the fastest in-memory cloud computing infrastructure we could find, which can process 200 million records in just 30 seconds. Now, businesses can enjoy enhanced productivity and make informed decisions rapidly.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

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

Pricing Details

$95 per month
Billed annually
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 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 No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

Match2Lists

Country

United Kingdom

Website

www.match2lists.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 

Alternatives

Alternatives

DataMatch Reviews

DataMatch

Data Ladder