Compare CLEAR and Sift 
Featured Products
At a Glance
Market Segments
Mid-Market (58.3% of reviews)
Mid-Market (56.5% of reviews)
Entry-Level Pricing
No pricing available
$$
CLEAR
Star Rating
(13)4.2 out of 5
Market Segments
Mid-Market (58.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about CLEARSift
Star Rating
(572)4.6 out of 5
Market Segments
Mid-Market (56.5% of reviews)
Pros & Cons
Entry-Level Pricing
$$
Learn more about SiftSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Sift excels in its ability to adapt to the ever-evolving landscape of fraud detection, utilizing machine learning to effectively combat various types of fraud, including payment fraud and account takeovers. Users appreciate how Sift's models can quickly adjust in real-time, making it a robust choice for businesses facing constant threats.
- Users say that CLEAR offers a user-friendly experience, particularly highlighting its convenience for quick identification and analysis of individual data. One reviewer noted the effortless process of scanning their hand for security, which showcases CLEAR's focus on streamlining user interactions.
- Reviewers mention that while Sift provides powerful fraud prevention capabilities, it also emphasizes usability, making investigations straightforward and efficient. This balance of functionality and ease of use is a significant advantage for teams needing to act quickly against fraud.
- According to verified reviews, CLEAR's Risk Inform product stands out by attaching risk scores to specific flags, simplifying the assessment process for users. This feature is particularly appreciated by those looking for a more nuanced understanding of potential risks.
- G2 reviewers highlight that Sift has a larger volume of recent reviews, indicating a more active user base and potentially more reliable insights into its current performance. With 557 total reviews, users feel confident in the feedback they provide about Sift's capabilities.
- Users express that while CLEAR has a strong ease of use rating, Sift slightly edges it out in setup and administration, with reviewers noting that Sift's implementation process is efficient and straightforward, which is crucial for teams looking to minimize downtime during onboarding.
Pricing
Entry-Level Pricing
CLEAR
No pricing availableFree Trial
CLEAR
No trial information availableSift
No trial information availableRatings
Meets Requirements
8.9
12
8.9
522
Ease of Use
9.3
12
9.0
532
Ease of Setup
8.3
6
9.0
358
Ease of Admin
Not enough data
9.0
192
Quality of Support
8.8
10
8.9
475
Has the product been a good partner in doing business?
Not enough data
8.9
190
Product Direction (% positive)
8.1
12
9.4
512
Features by Category
Detection
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.0
417
Not enough data
8.8
405
Analysis
Not enough data
8.8
405
Not enough data
8.9
406
Not enough data
8.7
399
Administration
Not enough data
9.1
411
Not enough data
8.9
412
Not enough data
8.8
410
Agentic AI - Fraud Detection
Not enough data
8.5
70
Not enough data
8.7
72
Not enough data
8.9
74
Case Management
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Analytics
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Agentic AI - Investigation Management
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Feature Not Available
Not enough data
8.9
170
Not enough data
Feature Not Available
Not enough data
9.1
68
Fraud Detection
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Reporting
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI - Anti Money Laundering
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Anti Money Laundering
Not enough data
Not enough data
Not enough data
Not enough data
Third Party & Supplier Risk ManagementHide 13 FeaturesShow 13 Features
Not enough data
Not enough data
Risk Assessment
Not enough data
Not enough data
Not enough data
Not enough data
Risk Control
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Third Party & Supplier Risk Management
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Transaction Monitoring - Financial Fraud Prevention
Not enough data
8.9
15
Not enough data
9.0
17
Not enough data
8.8
13
Identity & Authentication - Financial Fraud Prevention
Not enough data
8.8
17
Not enough data
9.0
14
Behavioral & Analytics Detection - Financial Fraud Prevention
Not enough data
8.8
16
Not enough data
8.6
15
Audit & Compliance - Financial Fraud Prevention
Not enough data
8.2
14
Not enough data
8.4
16
Intelligence
Not enough data
8.9
249
|
Verified
Not enough data
9.0
256
|
Verified
Not enough data
8.8
246
|
Verified
Not enough data
8.7
247
|
Verified
Detection
Not enough data
8.9
255
|
Verified
Not enough data
8.5
235
|
Verified
Not enough data
8.9
251
|
Verified
Response
Feature Not Available
8.8
251
|
Verified
Not enough data
8.9
248
|
Verified
Not enough data
8.8
244
|
Verified
Not enough data
8.3
223
Categories
Categories
Shared Categories
CLEAR and Sift are categorized as E-commerce Fraud Protection
Unique Categories
CLEAR is categorized as Anti-Money Laundering (AML), Third Party & Supplier Risk Management, and Investigation Management
Sift is categorized as Fraud Detection, Risk-Based Authentication (RBA), and Financial Fraud Prevention
Reviews
Reviewers' Company Size
CLEAR
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sift
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Financial Services
16.7%
Consulting
8.3%
Security and Investigations
8.3%
Legal Services
8.3%
Investment Banking
8.3%
Other
50.0%
Financial Services
36.6%
Information Technology and Services
5.9%
Consumer Services
5.6%
Apparel & Fashion
4.7%
Retail
3.2%
Other
44.1%
Discussions
CLEAR has no discussions with answers
Sift has no discussions with answers
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