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Netglub VS Riskified

Compare Netglub VS Riskified and see what are their differences

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The PAQATO After-Sales Experience Platform is the growth driver that makes online stores successful for tomorrow. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Netglub logo Netglub

Netglub, the really open source information gathering solution.

Riskified logo Riskified

eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.
  • Netglub Landing page
    Landing page //
    2021-07-26
  • Riskified Landing page
    Landing page //
    2023-10-20

Netglub videos

No Netglub videos yet. You could help us improve this page by suggesting one.

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Riskified videos

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Riskified Educational Webinar: Automating The Fraud Review Process (Summer Boot Camp - 2nd Webinar)

More videos:

  • Review - Riskified Educational Webinar: Optimal Manual Review (Summer Boot Camp - 3rd Webinar)
  • Review - Riskified : Nanoleaf case study

Category Popularity

0-100% (relative to Netglub and Riskified)

Netglub

Riskified

Security & Privacy
100 100%
Security & Privacy
0% 0
eCommerce
6 6%
eCommerce
94% 94
Tool
100 100%
Tool
0% 0
Fraud Prevention
0 0%
Fraud Prevention
100% 100

User comments

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What are some alternatives?

When comparing Netglub and Riskified, you can also consider the following products

Lampyre - Lampyre - an efficient data analysis and OSINT multi-tool for everyone.

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

Sentinel Visualizer - Link Analysis, Data Visualization, Geospatial Mapping, and Social Network Analysis (SNA) with Sentinel Visualizer

Kount - eCommerce fraud detection & prevention

SIREN.io - Siren is an investigative intelligence platform.

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.

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