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
KLDiscovery employs a cutting-edge processing application that enhances speed and reliability, elevating your data processing capabilities to unprecedented heights. By leveraging the ability to launch multiple instances of our application simultaneously, we can handle enormous data volumes in a fraction of the time that other solutions require. In fact, it is not uncommon for us to process several terabytes of information within just one week. Our integrated deduplication engine plays a crucial role in minimizing the overall data footprint by efficiently removing duplicate documents through the comparison of custom hash values derived from metadata across as many as fourteen different fields. Every deduplication action is meticulously documented within the extensive reporting features embedded in our application, ensuring that this defensible process is fully tracked, recoverable, and reproducible. This capability to efficiently manage vast amounts of data represents only part of our comprehensive approach to data processing. Additionally, our commitment to innovation ensures that we continually enhance our solutions to meet the evolving needs of our clients.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AD Enterprise
No
Cellebrite
No
E3:Universal
No
Hitachi Content Intelligence
No
Microsoft 365
No
Microsoft Azure
No
Relativity
No
Integrations
AD Enterprise
Yes
Cellebrite
Yes
E3:Universal
Yes
Hitachi Content Intelligence
Yes
Microsoft 365
Yes
Microsoft Azure
Yes
Relativity
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
Yes
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
KLDiscovery
Country
United States
Website
www.kldiscovery.com/solutions/ediscovery-processing
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