ThisData vs Sift Science | What are the differences? | StackShare

Sift Science vs ThisData

Overview

ThisData

Stacks4

Followers7

Votes0

Sift Science

Stacks14

Followers15

Votes0

Sift Science vs ThisData: What are the differences?

Sift Science: Fight fraud with real time machine learning. Integrate in an afternoon. Sift Science catches fraud by using large-scale machine learning to identify those patterns automatically; ThisData: Supercharged login security for your app. We use behavioral patterns to build an identity profile for each user. This provides your app with a second factor of authentication that doesn't add friction to the user experience, or even require the user to opt-in.

Sift Science and ThisData can be categorized as "Fraud Detection as a Service" tools.

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Detailed Comparison

ThisData	Sift Science
We use behavioral patterns to build an identity profile for each user. This provides your app with a second factor of authentication that doesn't add friction to the user experience, or even require the user to opt-in.	Sift Science catches fraud by using large-scale machine learning to identify those patterns automatically.
-	Reduce manual reviews & chargebacks;Detect Fraud Automatically in Real-Time;Distill Patterns From Data;Billing & Shipping Address Mismatch;Device Fingerprint;Travel Velocity
Statistics
Stacks 4	Stacks 14
Followers 7	Followers 15
Votes 0	Votes 0
Integrations
Dropbox Highrise Mailchimp Constant Contact	No integrations available

What are some alternatives to ThisData, Sift Science?

Tirreno

Open security analytics. Understand, monitor, and protect your product from cyber threats, account takeovers, fake accounts, and abuse.

Preventor.io

It is the next generation self-service digital identity and fraud prevention collaborative platform for individuals, businesses, and governments.

Trench

It is an open source fraud prevention for marketplaces. It is the backbone for your fraud system, bringing all of your data and processes into one place.