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Average Ratings 124 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

Plauti brings native data quality to Salesforce and Microsoft Dynamics 365 CE, giving teams the confidence to automate, report, and run AI on records they can actually trust. Nothing is exported to outside servers: everything runs inside your own CRM, and your admins keep full control without filing a single IT ticket. Data quality with Plauti covers the whole record lifecycle: Get a live view of data health across every object (table) and field, so the whole team works from one accurate picture Bulk-clean existing duplicates, standardize formatting, and validate emails, phone numbers, and addresses Stop bad records before they land, whether they come in through manual entry, imports, the API, or AI tools like Agentforce and Copilot Put clean data to work right away: route it, distribute it downstream, and let AI act on records it can rely on Because it's built directly on Salesforce and Dynamics 365 CE architecture, Plauti inherits your existing permissions and security setup. There's no separate login to manage, no delay syncing data between systems, and no compliance blind spots.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Dynamics 365 No 
Salesforce No 

Integrations

Microsoft Dynamics 365 Yes 
Salesforce 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 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 No 
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 Yes 
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

Plauti

Founded

2011

Country

Netherlands

Website

www.plauti.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

Customer Data Platforms (CDP)

Behavioral Analytics No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration No 
Data Matching No 
GDPR Compliance No 
Personalization No 
Predictive Modeling No 

Data Management

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

Data Management Platforms (DMP)

Ad Network Integration No 
Analytics / ROI Tracking No 
Audience Targeting No 
Behavioral Analytics No 
CRM Yes 
Campaign Management No 
Competitive Analysis No 
Customer Journey Mapping No 
Data Capture / Transfer No 
Data Classification No 
Data Visualization No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing Yes 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation Yes 
Machine Learning No 
Visual User Interface No 

Data Quality

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

Email Verification

Bulk Email Verification Yes 
Catch-all Server Detection No 
Disposable Email Detection No 
Domain Check No 
Mail Server Validation No 
Single Email Verification Yes 
Spam Trap Detection No 
Syntax Check No 

Lead Management

Activity Tracking No 
Campaign Management No 
Lead Capture No 
Lead Distribution Yes 
Lead Nurturing No 
Lead Scoring No 
Lead Segmentation No 
Pipeline Management No 
Prospecting Tools No 
Source Tracking No 

Master Data Management

Data Governance Yes 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge Yes 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization No 

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