Average Ratings 0 Ratings
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
Integrations
Microsoft Dynamics 365
No
Salesforce
No
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