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Average Ratings 0 Ratings

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features
design
support

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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

Our industry-leading, comprehensive solution accommodates any master data domain, implementation method, and use case, whether in the cloud or on-premises. It seamlessly integrates top-tier data integration, data quality, business process management, and data privacy features. Address intricate challenges directly with reliable insights into essential master data. Automatically establish connections between master, transactional, and interaction data across various domains. Enhance the precision of data records through verification services and enrichment for both B2B and B2C contexts. Effortlessly update numerous master data records, dynamic data models, and collaborative workflows with a single click. Streamline maintenance costs and accelerate deployment through AI-driven match tuning and rule suggestions. Boost productivity by utilizing search functions along with pre-configured, detailed charts and dashboards. In doing so, you can generate high-quality data that significantly enhances business outcomes by providing trusted and pertinent information. This multifaceted approach ensures that organizations can make data-driven decisions with confidence.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AX Semantics No 
Exterro No 
Google Cloud Platform No 
Google Cloud Pub/Sub No 
Hadoop No 
Informatica Supplier 360 No 
Salesforce Agentforce Education No 
Salesforce CRM Analytics No 
UKG Pro No 

Integrations

AX Semantics Yes 
Exterro Yes 
Google Cloud Platform Yes 
Google Cloud Pub/Sub Yes 
Hadoop Yes 
Informatica Supplier 360 Yes 
Salesforce Agentforce Education Yes 
Salesforce CRM Analytics Yes 
UKG Pro 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) No 
In Person Yes 

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.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

Data Cleansing

Address/ZIP Code Cleaning Yes 
Charting Yes 
Data Consolidation / ETL Yes 
Data Mapping Yes 
Multi Data Format Support Yes 
Phone/Email Validation No 
Raw Data Ingestion Yes 
Sample Testing Yes 
Validation / Matching / Reconciliation Yes 

Master Data Management

Data Governance Yes 
Data Masking Yes 
Data Source Integrations Yes 
Hierarchy Management Yes 
Match & Merge Yes 
Metadata Management Yes 
Multi-Domain Yes 
Process Management Yes 
Relationship Mapping Yes 
Visualization Yes 

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