Compare Sift and iDenfy

At a Glance
Sift
Sift
Star Rating
(573)4.6 out of 5
Market Segments
Mid-Market (56.4% of reviews)
Information
Pros & Cons
Entry-Level Pricing
$$
Learn more about Sift
iDenfy
iDenfy
Star Rating
(226)4.9 out of 5
Market Segments
Small-Business (64.5% of reviews)
Information
Pros & Cons
Entry-Level Pricing
$1.35 100 Verification Per Month
Free Trial is available
Browse all 4 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • G2 reviewers report that Sift excels in its ability to adapt to evolving fraud tactics, utilizing machine learning to effectively combat various types of fraud, including payment fraud and account takeovers. Users appreciate how this adaptability is crucial in the fast-paced world of fraud prevention.
  • Users say that iDenfy shines in its user-friendly integration process, with clear API documentation that has saved teams significant time during setup. Reviewers highlight that the straightforward integration of document verification into their applications has been a game-changer for onboarding processes.
  • According to verified reviews, Sift has a higher overall satisfaction score, indicating that users find it to be a more robust solution for comprehensive fraud detection. Many users commend its efficiency in simplifying investigations, making it a preferred choice for businesses needing reliable fraud prevention.
  • Reviewers mention that iDenfy's focus on small businesses is reflected in its pricing and ease of use, with many users noting that the average verification time has significantly decreased since implementing their solutions. This efficiency is particularly beneficial for smaller companies looking to streamline their onboarding processes.
  • G2 reviewers highlight that while Sift has a strong market presence and a wealth of user feedback, its higher entry-level price may be a barrier for some smaller businesses. In contrast, iDenfy offers a more accessible pricing model, making it an attractive option for startups and smaller enterprises.
  • Users report that both platforms provide quality support, but iDenfy stands out with higher ratings in customer service and responsiveness. Reviewers appreciate the proactive assistance they receive, which enhances their overall experience and satisfaction with the product.
Pricing
Entry-Level Pricing
Sift
Volume-based pricing
$$
Learn more about Sift
iDenfy
Basic
$1.35
100 Verification Per Month
Browse all 4 pricing plans
Free Trial
Sift
No trial information available
iDenfy
Free Trial is available
Ratings
Meets Requirements
8.9
523
9.5
170
Ease of Use
9.0
533
9.7
190
Ease of Setup
9.0
359
9.6
166
Ease of Admin
9.0
192
9.5
40
Quality of Support
8.9
476
9.6
170
Has the product been a good partner in doing business?
8.9
190
9.7
36
Product Direction (% positive)
9.4
513
10.0
169
Features by Category
8.8
450
9.1
103
Detection
Feature Not Available
9.3
84
Feature Not Available
9.3
84
9.0
418
9.4
80
8.8
405
9.2
81
Analysis
8.8
405
9.4
78
8.9
406
9.4
72
8.7
399
9.3
76
Administration
9.1
412
9.3
61
8.9
412
9.2
56
8.8
410
9.3
62
Agentic AI - Fraud Detection
8.5
70
8.9
9
8.7
72
8.7
9
8.9
75
8.5
10
Biometric AuthenticationHide 7 FeaturesShow 7 Features
Not enough data
9.4
74
Integration
Not enough data
9.3
51
Not enough data
9.3
48
Not enough data
9.4
42
Not enough data
9.5
39
Administration
Not enough data
9.5
39
Not enough data
9.3
38
Not enough data
9.6
38
Risk-Based Authentication (RBA)Hide 4 FeaturesShow 4 Features
9.0
189
Not enough data
Administration
Feature Not Available
Not enough data
8.9
170
Not enough data
Feature Not Available
Not enough data
9.1
68
Not enough data
Digital Customer OnboardingHide 8 FeaturesShow 8 Features
Not enough data
9.2
64
Process Automation
Not enough data
9.4
34
Not enough data
8.9
32
Not enough data
9.2
35
Not enough data
9.3
34
Identity Verification
Not enough data
9.5
41
Not enough data
9.5
41
Not enough data
9.3
33
Agentic AI - Digital Customer Onboarding
Not enough data
8.9
11
Anti-Money Laundering (AML)Hide 20 FeaturesShow 20 Features
Not enough data
9.4
56
Fraud Detection
Not enough data
9.6
37
Not enough data
9.5
35
Not enough data
9.2
31
Not enough data
Feature Not Available
Not enough data
9.5
25
Compliance
Not enough data
9.7
32
Not enough data
9.7
29
Not enough data
9.6
23
Monitoring
Not enough data
9.3
28
Not enough data
9.3
20
Not enough data
9.1
25
Not enough data
9.3
28
Not enough data
9.4
25
Reporting
Not enough data
9.4
27
Not enough data
9.4
24
Not enough data
9.3
23
Generative AI - Anti Money Laundering
Not enough data
9.5
7
Not enough data
Not enough data
Agentic AI - Anti Money Laundering
Not enough data
Not enough data
Not enough data
Not enough data
Accounting & FinanceHide 1 FeatureShow 1 Feature
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Financial Fraud PreventionHide 9 FeaturesShow 9 Features
8.7
18
Not enough data
Transaction Monitoring - Financial Fraud Prevention
8.9
15
Not enough data
9.0
17
Not enough data
8.8
13
Not enough data
Identity & Authentication - Financial Fraud Prevention
8.8
17
Not enough data
9.0
14
Not enough data
Behavioral & Analytics Detection - Financial Fraud Prevention
8.8
16
Not enough data
8.6
15
Not enough data
Audit & Compliance - Financial Fraud Prevention
8.2
14
Not enough data
8.4
16
Not enough data
Not enough data
8.8
29
Identity Verification Functions - Identity Verification
Not enough data
9.1
13
Not enough data
8.5
12
Not enough data
8.5
13
Not enough data
9.2
16
Not enough data
9.4
16
Risk & Fraud Prevention - Identity Verification
Not enough data
8.5
9
Not enough data
8.3
12
Not enough data
8.3
12
Compliance & Governance - Identity Verification
Not enough data
8.6
11
Not enough data
9.2
13
Not enough data
9.2
14
E-commerce Fraud ProtectionHide 11 FeaturesShow 11 Features
8.8
271
Not enough data
Intelligence
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
Not enough data
Detection
8.9
255
|
Verified
Not enough data
8.5
235
|
Verified
Not enough data
8.9
251
|
Verified
Not enough data
Response
8.8
251
|
Verified
Not enough data
8.9
248
|
Verified
Not enough data
8.8
244
|
Verified
Not enough data
8.3
223
Not enough data
Categories
Categories
Shared Categories
Sift
Sift
iDenfy
iDenfy
Sift and iDenfy are categorized as Fraud Detection
Reviews
Reviewers' Company Size
Sift
Sift
Small-Business(50 or fewer emp.)
16.1%
Mid-Market(51-1000 emp.)
56.4%
Enterprise(> 1000 emp.)
27.5%
iDenfy
iDenfy
Small-Business(50 or fewer emp.)
64.5%
Mid-Market(51-1000 emp.)
26.4%
Enterprise(> 1000 emp.)
9.1%
Reviewers' Industry
Sift
Sift
Financial Services
36.5%
Information Technology and Services
5.9%
Consumer Services
5.7%
Apparel & Fashion
4.7%
Retail
3.2%
Other
44.0%
iDenfy
iDenfy
Financial Services
49.1%
Information Technology and Services
11.8%
Marketing and Advertising
2.7%
Gambling & Casinos
2.3%
Banking
2.3%
Other
31.8%
Alternatives
Sift
Sift Alternatives
Kount
Kount
Add Kount
SEON
SEON
Add SEON
Signifyd
Signifyd
Add Signifyd
Riskified
Riskified
Add Riskified
iDenfy
iDenfy Alternatives
Entrust IDV, formerly Onfido
Entrust IDV, formerly Onfido
Add Entrust IDV, formerly Onfido
Sumsub
Sumsub
Add Sumsub
Lightico
Lightico
Add Lightico
SEON
SEON
Add SEON
Discussions
Sift
Sift Discussions
Monty the Mongoose crying
Sift has no discussions with answers
iDenfy
iDenfy Discussions
What is iDenfy used for?
1 Comment
Indrek V.
IV
We use iDenfy for the AML, sanctions, and adverse media checks when we onboard our customers. And for the customers' portfolio monitoring after they are...Read more
Monty the Mongoose crying
iDenfy has no more discussions with answers
Sift
Sift
Optimized for quick response
iDenfy
iDenfy
Optimized for quick response