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Average Ratings 0 Ratings

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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

Enhance the potential of both structured and unstructured data within your organization by leveraging outstanding features for data integration, quality enhancement, and cleansing. The SAP Data Services software elevates data quality throughout the organization, ensuring that the information management layer of SAP’s Business Technology Platform provides reliable, relevant, and timely data that can lead to improved business results. By transforming your data into a dependable and always accessible resource for insights, you can optimize workflows and boost efficiency significantly. Achieve a holistic understanding of your information by accessing data from various sources and in any size, which helps in uncovering the true value hidden within your data. Enhance decision-making and operational effectiveness by standardizing and matching datasets to minimize duplicates, uncover relationships, and proactively address quality concerns. Additionally, consolidate vital data across on-premises systems, cloud environments, or Big Data platforms using user-friendly tools designed to simplify this process. This comprehensive approach not only streamlines data management but also empowers your organization to make informed strategic choices.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud No 
Amazon Web Services (AWS) No 
Azure NetApp Files No 
CIMPLICITY No 
Cisco AnyConnect No 
Data Commerce Cloud No 
EHSwise No 
Google Cloud Platform No 
Hitachi Content Intelligence No 
Huawei APM No 
IBM Cloud No 
Microsoft 365 No 
NVIDIA DRIVE No 
Nutanix AHV No 
Oracle Cloud Infrastructure No 
SUSE Cloud Application Platform No 
Safyr No 
VMware Cloud No 
Wiiisdom Ops No 

Integrations

Alibaba Cloud Yes 
Amazon Web Services (AWS) Yes 
Azure NetApp Files Yes 
CIMPLICITY Yes 
Cisco AnyConnect Yes 
Data Commerce Cloud Yes 
EHSwise Yes 
Google Cloud Platform Yes 
Hitachi Content Intelligence Yes 
Huawei APM Yes 
IBM Cloud Yes 
Microsoft 365 Yes 
NVIDIA DRIVE Yes 
Nutanix AHV Yes 
Oracle Cloud Infrastructure Yes 
SUSE Cloud Application Platform Yes 
Safyr Yes 
VMware Cloud Yes 
Wiiisdom Ops 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 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) 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 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

SAP

Founded

1972

Country

Germany

Website

www.sap.com/products/data-services.html

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

Data Cleansing

Address/ZIP Code Cleaning No 
Charting No 
Data Consolidation / ETL No 
Data Mapping No 
Multi Data Format Support No 
Phone/Email Validation No 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation No 

Data Quality

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

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

Alternatives

Alternatives

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