Compare IPQS and Sift 
Featured Products
At a Glance
Market Segments
Small-Business (63.4% of reviews)
Mid-Market (56.2% of reviews)
Entry-Level Pricing
No pricing available
$$
IPQS
Star Rating
(112)4.6 out of 5
Market Segments
Small-Business (63.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IPQSSift
Star Rating
(573)4.6 out of 5
Market Segments
Mid-Market (56.2% of reviews)
Pros & Cons
Entry-Level Pricing
$$
Learn more about SiftSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Sift excels in overall user satisfaction, boasting a significantly higher G2 Score compared to IPQS. Users appreciate its intuitive dashboard and powerful search capabilities, which facilitate deeper investigations into fraud.
- Users say that Sift's user-friendly interface makes it easy to navigate and access critical information without a steep learning curve. In contrast, while IPQS is noted for its speed and dependability, some users find it less intuitive, which can impact day-to-day usability.
- Reviewers mention that Sift has a robust implementation process, with many highlighting the quick onboarding experience. On the other hand, IPQS users have expressed satisfaction with its analytical capabilities but have not emphasized the same level of ease in setup.
- According to verified reviews, Sift's quality of support is highly rated, with users noting responsive assistance when needed. In comparison, IPQS also receives positive feedback for its support, but Sift's overall higher satisfaction ratings suggest a more consistent experience.
- Users highlight Sift's advanced features for fraud detection, such as the ability to analyze visual evidence and detect subtle patterns. While IPQS is praised for its effectiveness in identifying VPNs and proxies, it may not offer the same depth of insights as Sift.
- G2 reviewers indicate that Sift is particularly favored by mid-market companies, while IPQS is more popular among small businesses. This distinction may influence the choice depending on the size and specific needs of the organization looking for fraud protection solutions.
Pricing
Entry-Level Pricing
IPQS
No pricing availableFree Trial
IPQS
Free Trial is available
Sift
No trial information availableRatings
Meets Requirements
9.1
111
8.9
523
Ease of Use
9.2
111
9.0
533
Ease of Setup
8.8
84
9.0
360
Ease of Admin
9.1
77
9.0
191
Quality of Support
9.1
107
8.9
477
Has the product been a good partner in doing business?
9.3
77
8.9
189
Product Direction (% positive)
9.3
110
9.4
513
Features by Category
Detection
9.1
75
Feature Not Available
9.0
59
Feature Not Available
8.7
82
9.0
419
8.8
75
8.8
406
Analysis
8.7
78
8.8
405
8.6
79
8.9
407
8.7
75
8.7
400
Administration
9.2
83
9.1
413
8.7
74
8.9
413
9.0
75
8.9
411
Agentic AI - Fraud Detection
Not enough data
8.5
70
Not enough data
8.7
72
Not enough data
8.9
75
Trading
8.4
15
Not enough data
8.7
15
Not enough data
8.9
18
Not enough data
Threat Detection
8.8
15
Not enough data
8.9
18
Not enough data
9.1
22
Not enough data
Feature Not Available
Not enough data
Blocking
8.8
17
Not enough data
8.9
20
Not enough data
8.3
15
Not enough data
Agentic AI - Click Fraud
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Feature Not Available
Not enough data
8.9
171
Not enough data
Feature Not Available
Not enough data
9.1
69
Generative AI
7.7
14
Not enough data
7.3
14
Not enough data
Agentic AI - Email Verification
Not enough data
Not enough data
Platform Basics - Phone Verification
8.8
17
Not enough data
8.2
17
Not enough data
8.6
17
Not enough data
8.6
17
Not enough data
8.8
17
Not enough data
8.8
17
Not enough data
Additional Features - Phone Verification
8.7
17
Not enough data
8.8
17
Not enough data
9.3
17
Not enough data
Agentic AI - Phone Verification
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
9.3
25
8.9
250
|
Verified
9.0
28
9.0
257
|
Verified
9.1
26
8.8
247
|
Verified
9.7
26
8.7
248
|
Verified
Detection
9.5
28
8.9
256
|
Verified
9.5
26
8.6
236
|
Verified
9.5
26
8.9
252
|
Verified
Response
9.4
18
8.8
252
|
Verified
9.2
26
8.9
249
|
Verified
9.3
25
8.8
245
|
Verified
8.9
9
8.3
224
Categories
Categories
Shared Categories
IPQS and Sift are categorized as E-commerce Fraud Protection and Fraud Detection
Unique Categories
Sift is categorized as Risk-Based Authentication (RBA) and Financial Fraud Prevention
Reviews
Reviewers' Company Size
IPQS
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
Information Technology and Services
17.9%
Apparel & Fashion
17.9%
Computer Software
15.2%
Marketing and Advertising
11.6%
Computer & Network Security
4.5%
Other
33.0%
Financial Services
36.7%
Information Technology and Services
5.9%
Consumer Services
5.7%
Apparel & Fashion
4.7%
Retail
3.2%
Other
43.8%
Discussions
IPQS has no discussions with answers
Sift has no discussions with answers
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