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What is Match2Lists?

Match2Lists delivers the fastest, easiest, and most accurate method for aligning, consolidating, and eliminating duplicate entries in your data. Utilizing our Match2D&B feature, you can effortlessly enrich your datasets with Dun & Bradstreet information whenever necessary. In just minutes, you can cleanse your data of duplicates and transform varied raw data into valuable insights. Our main objective is to achieve the best possible matching results for our clients. Prior to launching Match2Lists, we ran analytics and data visualization companies, using several "fuzzy" matching tools available in the market. Disappointed with their poor matching performance, we spent a decade developing the most advanced algorithms for data matching. Additionally, we strive to enhance efficiency: our aim is to enable clients to spend less time on data matching and cleansing, allowing them to concentrate on analysis and implementation. This commitment drove us to deploy our innovative matching logic on the most rapid in-memory cloud computing infrastructure we could secure, capable of processing 200 million records in merely 30 seconds. As a result, organizations can boost productivity and make quick, informed decisions, ultimately transforming their data management approach. Now, they can leverage these improvements to drive growth and success in their respective industries.

What is KLDiscovery?

KLDiscovery utilizes a state-of-the-art processing application designed to significantly improve both speed and reliability, propelling your data processing capabilities to new, unmatched levels. By harnessing the power of launching numerous instances of our application at once, we can efficiently manage substantial data volumes in a much shorter time frame than many competing solutions. Indeed, processing several terabytes of data within a single week is a frequent occurrence for us. A key feature of our system is the integrated deduplication engine, which effectively reduces the overall data footprint by eliminating duplicate documents through the analysis of custom hash values based on metadata from up to fourteen distinct fields. Each deduplication process is thoroughly documented through extensive reporting features that are part of our application, ensuring that this defensible procedure is completely tracked, recoverable, and reproducible. This remarkable ability to handle vast datasets is just one aspect of our holistic approach to data processing. Moreover, our unwavering dedication to innovation drives us to consistently improve our offerings, adapting to the changing requirements of our clients while maintaining exceptional service quality. With these advancements, we position ourselves as leaders in the data processing industry.

Media

Media

Integrations Supported

AD Enterprise
Cellebrite
E3:Universal
Hitachi Content Intelligence
Microsoft 365
Microsoft Azure
Relativity

Integrations Supported

AD Enterprise
Cellebrite
E3:Universal
Hitachi Content Intelligence
Microsoft 365
Microsoft Azure
Relativity

API Availability

Has API

API Availability

Has API

Pricing Information

$95 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Match2Lists

Company Location

United Kingdom

Company Website

www.match2lists.com

Company Facts

Organization Name

KLDiscovery

Company Location

United States

Company Website

www.kldiscovery.com/solutions/ediscovery-processing

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

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