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ease
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

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 No 
BIGDBM No 
Facebook Ads No 
Meta Ads No 
The Trade Desk No 

Integrations

Amazon S3 Yes 
BIGDBM Yes 
Facebook Ads Yes 
Meta Ads Yes 
The Trade Desk Yes 

Pricing Details

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

Pricing Details

$0
Pricing is based on data transacted, processed, transferred, and stored.
Free Trial No 
Free Version Yes 

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 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) No 
In Person No 

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

Narrative

Country

United States

Website

www.narrative.io

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

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox Yes 
Predictive Analytics No 
Templates No 

Data Discovery

Contextual Search Yes 
Data Classification Yes 
Data Matching Yes 
False Positives Reduction Yes 
Self Service Data Preparation Yes 
Sensitive Data Identification Yes 
Visual Analytics Yes 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration Yes 
Data Migration No 
Data Quality Control Yes 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge Yes 

Data Science

Access Control Yes 
Advanced Modeling No 
Audit Logs No 
Data Discovery Yes 
Data Ingestion Yes 
Data Preparation Yes 
Data Visualization No 
Model Deployment No 
Reports No 

Data Warehouse

Ad hoc Query Yes 
Analytics No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge Yes 

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration No 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion Yes 
Mobile Access No 
Monitoring No 
NOSQL Yes 
Performance Analysis No 
Queries Yes 
Relational Interface No 
Virtualization No 

Virtual Data Room

Anonymity Management No 
Audit Trail No 
Collaboration Yes 
Data Protection Yes 
Data Storage Management Yes 
Document Tagging No 
Due Diligence Management No 
Procurement Management Yes 
Project Management Yes 
Role-Based Permissions Yes 
Secure Preview Yes 

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