Average Ratings 0 Ratings
Average Ratings 0 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
Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received.
The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc.
Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS CloudFormation
No
Amazon RDS
No
Amazon Simple Queue Service (SQS)
No
Apache Kafka
No
Docker
No
Elasticsearch
No
Google Cloud Platform
No
IBM Db2
No
MariaDB
No
Microsoft Azure
No
Integrations
AWS CloudFormation
Yes
Amazon RDS
Yes
Amazon Simple Queue Service (SQS)
Yes
Apache Kafka
Yes
Docker
Yes
Elasticsearch
Yes
Google Cloud Platform
Yes
IBM Db2
Yes
MariaDB
Yes
Microsoft Azure
Yes
Pricing Details
starts at $10000/user per year
Free Trial
Yes
Free Version
No
Pricing Details
Free evaluation up to 100K records or more on request. Production pricing starts at $37,440 /year for 10M records.
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
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
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)
Yes
In Person
No
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Vendor Details
Company Name
Senzing
Founded
2016
Country
United States
Website
senzing.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
AML
Behavioral Analytics
No
Case Management
Yes
Compliance Reporting
No
Identity Verification
Yes
Investigation Management
Yes
PEP Screening
Yes
Risk Assessment
Yes
SARs
Yes
Transaction Monitoring
Yes
Watch List
Yes
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
Yes
Data Matching
Yes
GDPR Compliance
Yes
Personalization
No
Predictive Modeling
No
Data Analysis
Data Discovery
Yes
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Fabric
Data Access Management
No
Data Analytics
Yes
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
Yes
Hierarchy Management
No
Match & Merge
Yes
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
Yes
Visualization
No