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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

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 

Screenshots View All

Screenshots View All

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 

Product Features

Alternatives

Alternatives