🆚 NoFraud vs. Sift

Compare technologies based on real-world usage data *
Type
Fraud prevention software solution
Fraud prevention software solution
About
NoFraud is an e-commerce fraud prevention solution that scans transactions on behalf of businesses and alerts them when a transaction is at high risk of fraud.
Sift is an AI-powered fraud prevention platform that provides payment protection, content integrity, and account defense.
Headquarters
New York, United States
San Francisco, California, United States
Website
Pricing
Transaction fee0.5%
Volume-based
Categories
Fraud Prevention › Rank #15
Fraud Prevention › Rank #24
Popularity

Determined by the number of sites using each technology.

The NoFraud software solution is 2.2 times more popular than Sift.
Total websites
Market share
Fraud Prevention
Popularity by country

Determined by the number of sites detected from each country.

NoFraud is more popular in Canada, the United States, and the United Kingdom, while Sift is more popular in Colombia, Germany, and France.
Canada
United States
United Kingdom
Colombia
Australia
Germany
Italy
China
France
Japan
Awards
Popularity by domain category

Determined by the number of sites in each category.

NoFraud is more popular among sites focused on online shopping, fashion and beauty, and marketing and merchandising, while Sift is more commonly used on travel, auctions and classifieds, and restaurants sites.
Online Shopping
Travel
Fashion/Beauty
Marketing/Merchandising
Business
Blogs/Wiki
Sports
Software/Hardware
Pharmacy
Auctions/Classifieds
Top sites

Top-ranked sites that use these technologies.

Name
Rank
#25,795
#26,853
Name
Rank
#3,638
Compare alternatives

Technologies with similar characteristics.

See also

Data updated

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

When interpreting and using the results, please read our methodology and disclaimer.