Data Ladder 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.

Data Ladder Alternatives
D&B Connect Reviews
D&B Connect
(188 Ratings)
Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
Learn more
DataBuck Reviews
DataBuck
(6 Ratings)
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Learn more
Service Objects Name Validation Reviews
Service Objects Name Validation
It is important to communicate with a lead or customer effectively. Name Validation is a 40-step process that helps your business eliminate inaccurate and bogus names. It also prevents embarrassing personalization errors from being sent out to customers and prospects. It's important to get the names of your customers and prospects right. Accurate names can be crucial for effective personalization, and are also a good indicator of fraudulent or bogus submissions to web forms. Name Validation verifies both first and last name using a global database with more than 1.4 millions first names and 2.75 millions last names. It corrects common mistakes and flags garbage before it enters into your database. Our real-time service for name validation and verification corrects and tests against a proprietary consumer database that contains millions of names to determine an overall score. This score can be used by your business to block or deny bogus submissions.
Learn more
Senzing Reviews
Senzing
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.
Learn more

Pricing

Pricing Starts At:
starts at $10000/user per year
Free Trial:
Yes

Integrations

API:
Yes, Data Ladder has an API
No Integrations at this time

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
Data Ladder
Year Founded:
2006
Headquarters:
United States
Website:
dataladder.com
Update This Listing

Media

DataMatch Enterprise shows you which records match along with the percentage score of the match definition all in a clear, easy UI

DataMatch Enterprise shows you which records match along with the percentage score of the match definition all in a clear, easy UI

DataMatch Enterprise shows you which records match along with the percentage score of the match definition all in a clear, easy UI Entity graphs in DataMatch Enterprise show you how different entities are linked to each other Data profiles in DataMatch Enterprise give you a complete health check of your data including details on how many fields are filled, how many follow a valid pattern, and the data type of each field You can choose from a wide range of options to cleanse your data. This includes removing or replacing characters, creating dictionaries for certain types of fields, and correcting string casing. DataMatch Enterprise allows you to choose from multiple match configurations depending on what data you need to match. You can import data from Excel files, CSV files, databases, and FTP/SFTP in DataMatch Enterprise
Recommended Products
Ship Agents Faster Icon
Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Start Free

Product Details

Platforms
Web-Based
Windows
Linux
Types of Training
Training Docs
Live Training (Online)
Webinars
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support

Data Ladder Features and Options

Data Cleansing Software

Address/ZIP Code Cleaning
Data Mapping
Multi Data Format Support
Phone/Email Validation
Validation / Matching / Reconciliation

Data Quality Software

Address Validation
Data Deduplication
Data Profililng
Match & Merge

Data Ladder User Reviews

Write a Review
  • Previous
  • Next