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Compare DataVisor and Sift 
Featured Products
At a Glance
Market Segments
Enterprise (48.0% of reviews)
Mid-Market (56.4% of reviews)
Entry-Level Pricing
No pricing available
$$
DataVisor
Star Rating
(26)4.4 out of 5
Market Segments
Enterprise (48.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about DataVisorSift
Star Rating
(569)4.6 out of 5
Market Segments
Mid-Market (56.4% of reviews)
Pros & Cons
Entry-Level Pricing
$$
Learn more about SiftSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Sift excels in user experience, with an intuitive and easy-to-navigate dashboard that simplifies access to critical information. Users appreciate the platform's powerful search and filtering capabilities, which enhance their ability to conduct in-depth fraud investigations.
- Users say that DataVisor offers impressive customization options, allowing teams to build and tune their own rules and scoring logic. This flexibility is particularly valued by data scientists and ML engineers, who can rapidly develop complex features and A/B test strategies in real time.
- According to verified reviews, Sift stands out for its quick implementation process, with many users highlighting the straightforward onboarding experience that minimizes the learning curve. This ease of setup is a significant advantage for teams looking to get started quickly.
- Reviewers mention that while DataVisor provides robust support for rule configuration, some users find that it can be less user-friendly compared to Sift. The complexity of setting up certain features may pose challenges for teams without dedicated technical resources.
- G2 reviewers highlight that Sift's real-time monitoring and alerting features are highly effective, with users noting that they receive clear, actionable insights into user behavior. This capability allows businesses to respond swiftly to potential fraud threats.
- Users appreciate DataVisor's strong fraud detection capabilities, with many praising its ability to customize and adapt to specific business needs. However, the overall user satisfaction is lower compared to Sift, which may influence decisions for those prioritizing a seamless user experience.
Pricing
Entry-Level Pricing
DataVisor
No pricing availableFree Trial
DataVisor
Free Trial is available
Sift
No trial information availableRatings
Meets Requirements
8.9
25
8.9
519
Ease of Use
8.1
25
8.9
529
Ease of Setup
7.4
22
9.0
356
Ease of Admin
8.1
8
9.0
186
Quality of Support
9.0
24
8.9
472
Has the product been a good partner in doing business?
8.5
8
8.9
185
Product Direction (% positive)
9.5
25
9.4
509
Features by Category
Detection
7.6
15
Feature Not Available
7.6
15
Feature Not Available
9.0
17
9.0
415
8.5
16
8.8
408
Analysis
8.2
15
8.8
406
8.1
16
8.9
410
8.1
15
8.6
402
Administration
8.2
16
9.1
413
8.5
17
8.9
413
8.4
17
8.8
412
Agentic AI - Fraud Detection
Not enough data
8.4
70
Not enough data
8.5
69
Not enough data
8.7
70
Administration
Not enough data
Feature Not Available
Not enough data
8.9
174
Not enough data
Feature Not Available
Not enough data
9.0
71
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Transaction Monitoring - Financial Fraud Prevention
Not enough data
8.9
15
Not enough data
8.9
15
Not enough data
8.9
14
Identity & Authentication - Financial Fraud Prevention
Not enough data
8.7
15
Not enough data
9.1
15
Behavioral & Analytics Detection - Financial Fraud Prevention
Not enough data
8.6
15
Not enough data
8.6
15
Audit & Compliance - Financial Fraud Prevention
Not enough data
8.2
15
Not enough data
8.3
15
Intelligence
8.8
7
8.9
254
|
Verified
9.3
7
9.0
260
|
Verified
9.0
7
8.8
251
|
Verified
9.2
6
8.6
252
|
Verified
Detection
9.3
7
8.9
259
|
Verified
9.3
7
8.6
241
|
Verified
9.3
7
8.9
255
|
Verified
Response
9.2
6
8.8
256
|
Verified
9.2
6
8.9
253
|
Verified
9.3
7
8.8
250
|
Verified
9.2
6
8.3
229
Categories
Categories
Shared Categories
DataVisor and Sift are categorized as Fraud Detection and E-commerce Fraud Protection
Unique Categories
DataVisor has no unique categories
Sift is categorized as Risk-Based Authentication (RBA) and Financial Fraud Prevention
Reviews
Reviewers' Company Size
DataVisor
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
44.0%
Banking
16.0%
Leisure, Travel & Tourism
8.0%
Higher Education
4.0%
Consumer Services
4.0%
Other
24.0%
Financial Services
37.5%
Consumer Services
5.8%
Information Technology and Services
5.2%
Apparel & Fashion
4.7%
Retail
3.2%
Other
43.6%
Alternatives
Discussions
DataVisor has no discussions with answers
Sift has no discussions with answers
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