# Mangopay vs Sift Comparison
---
## AI Generated Summary
- **G2 reviewers report** that Sift excels in user experience, with many praising its **intuitive interface** and ease of integration. Users appreciate how quickly they can access fraud reports and verify scores, highlighting that the setup process is straightforward and efficient.
- **Users say** that Mangopay offers great flexibility, particularly in handling **payins, payouts, and transfers**. This feature is noted as a significant advantage, especially for businesses looking for a comprehensive payment solution.
- **According to verified reviews** , Sift stands out for its **high-quality support** , with users noting that the platform has been a reliable partner in their business operations. Reviewers specifically mention the ease of use and the helpfulness of the support team during implementation.
- **Reviewers mention** that while Mangopay has a strong automated analysis feature, it faces challenges in **setup and administration**. Users have reported that the initial setup can be more complex compared to Sift, which is often described as user-friendly and quick to implement.
- **Users highlight** that Sift's real-time monitoring capabilities are a significant asset, allowing businesses to stay ahead of potential fraud. The platform's ability to provide immediate alerts and insights is frequently praised, making it a valuable tool for fraud detection.
- **According to recent feedback** , while Mangopay has received positive remarks for its customer service, it still trails behind Sift in overall user satisfaction and performance metrics. Users have expressed a desire for improvements in certain areas, such as **ease of use and setup** , which Sift has successfully addressed.



| | Mangopay | Sift | 
|---|---|---|
| **Star Rating** | 4.5 out of 5 | 4.6 out of 5 | 
| **Total Reviews** | 42 | 610 | 
| **Largest Market Segment** | Small-Business (45.2% of reviews) | Mid-Market (56.8% of reviews) | 
| **Entry Level Price** | No pricing available | $$ | 

---
## Top Pros & Cons

### Mangopay

Pros:
- Ease of Use (2 reviews)
- Easy Payments (2 reviews)

Cons:
- Improvement Needed (2 reviews)
- Poor Customer Support (2 reviews)

### Sift

Pros:
- Ease of Use (71 reviews)
- Fraud Prevention (71 reviews)

Cons:
- Inaccuracy (29 reviews)
- Lack of Clarity (20 reviews)

---
## Ratings Comparison
| Rating | Mangopay | Sift | 
|---|---|---|
  | **Meets Requirements** | 8.3 (32 reviews) | 9.0 (550 reviews) | 
  | **Ease of Use** | 8.7 (34 reviews) | 9.0 (561 reviews) | 
  | **Ease of Setup** | 7.2 (21 reviews) | 9.0 (387 reviews) | 
  | **Ease of Admin** | 7.5 (21 reviews) | 9.0 (193 reviews) | 
  | **Quality of Support** | 9.2 (32 reviews) | 9.0 (502 reviews) | 
  | **Has the product been a good partner in doing business?** | 7.9 (21 reviews) | 8.9 (191 reviews) | 
  | **Product Direction (% positive)** | 7.8 (32 reviews) | 9.4 (534 reviews) | 

---
## Pricing

### Mangopay

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### Sift

#### Entry-Level Pricing

Plan: Volume-based pricing

Price: $$

Description: Volume-based pricing.


[Learn more about Sift](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/reviews)

#### Free Trial

No

---
## Features Comparison By Category

### Fraud Detection

| Product | Score | Reviews |
|---|---|---|
| **Mangopay** | 9.3/10 | 11 |
| **Sift** | 8.8/10 | 475 |

#### Detection

| Feature | Mangopay | Sift | 
|---|---|---|
| **Payment Verification** | 10.0 (6 reviews) | Feature Not Available | 
| **Bot Mitigation** | 8.5 (8 reviews) | Feature Not Available | 
| **Real-Time Monitoring** | 9.6 (8 reviews) | 9.0 (427 reviews) | 
| **Alerts** | 9.4 (9 reviews) | 8.8 (413 reviews) | 

#### Analysis 

| Feature | Mangopay | Sift | 
|---|---|---|
| **ID Analytics** | 9.4 (8 reviews) | 8.9 (416 reviews) | 
| **Intelligence Reporting** | 9.2 (10 reviews) | 8.9 (417 reviews) | 
| **Incident Reports** | 9.6 (8 reviews) | 8.7 (407 reviews) | 

#### Administration

| Feature | Mangopay | Sift | 
|---|---|---|
| **Fraud Markers** | 9.1 (9 reviews) | 9.1 (416 reviews) | 
| **Transaction Scoring** | 9.1 (9 reviews) | 8.9 (419 reviews) | 
| **Blacklisting** | 9.5 (10 reviews) | 8.8 (413 reviews) | 

#### Agentic AI - Fraud Detection

| Feature | Mangopay | Sift | 
|---|---|---|
| **Cross-system Integration** | Not enough data | 8.7 (83 reviews) | 
| **Adaptive Learning** | Not enough data | 8.7 (77 reviews) | 
| **Decision Making** | Not enough data | 9.0 (83 reviews) | 

### Payment Processing

| Product | Score | Reviews |
|---|---|---|
| **Mangopay** | 4.8/10 | 5 |
| **Sift** | N/A | N/A |

#### Payment Processing

| Feature | Mangopay | Sift | 
|---|---|---|
| **Encryption** | Not enough data | Not enough data | 
| **Credit Card Processing** | Not enough data | Not enough data | 
| **Mobile Payments** | Not enough data | Not enough data | 
| **Digital Wallet Integration** | Not enough data | Not enough data | 

#### Administration

| Feature | Mangopay | Sift | 
|---|---|---|
| **Reporting & Analytics** | 2.3 (5 reviews) | Not enough data | 
| **E-commerce Integration** | Not enough data | Not enough data | 
| **Processing Fees** | 7.0 (5 reviews) | Not enough data | 
| **POS Integration** | Feature Not Available | Not enough data | 
| **Omnichannel** | Not enough data | Not enough data | 
| **Levels 1 & 2** | Not enough data | Not enough data | 
| **Level 3** | Feature Not Available | Not enough data | 

#### Payment Options

| Feature | Mangopay | Sift | 
|---|---|---|
| **Multi-Currency** | 5.0 (5 reviews) | Not enough data | 
| **Online payment portal** | Not enough data | Not enough data | 

#### Security

| Feature | Mangopay | Sift | 
|---|---|---|
| **POS Verification** | Feature Not Available | Not enough data | 

#### Platform

| Feature | Mangopay | Sift | 
|---|---|---|
| **Accounting integration** | Feature Not Available | Not enough data | 
| **E-commerce Integration** | Not enough data | Not enough data | 

### Risk-Based Authentication (RBA)

| Product | Score | Reviews |
|---|---|---|
| **Mangopay** | N/A | N/A |
| **Sift** | 9.0/10 | 193 |

#### Administration

| Feature | Mangopay | Sift | 
|---|---|---|
| **Bi-Directional Identity Synchronization** | Not enough data | Feature Not Available | 
| **Policy Management** | Not enough data | 8.9 (174 reviews) | 
| **Cloud Directory** | Not enough data | Feature Not Available | 
| **Application Integrations** | Not enough data | 9.1 (72 reviews) | 

### Accounting & Finance

| Product | Score | Reviews |
|---|---|---|
| **Mangopay** | N/A | N/A |
| **Sift** | N/A | N/A |

#### Agentic AI - Accounting & Finance

| Feature | Mangopay | Sift | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 

### Financial Fraud Prevention

| Product | Score | Reviews |
|---|---|---|
| **Mangopay** | N/A | N/A |
| **Sift** | 8.9/10 | 23 |

#### Transaction Monitoring - Financial Fraud Prevention

| Feature | Mangopay | Sift | 
|---|---|---|
| **Payment monitoring** | Not enough data | 9.1 (18 reviews) | 
| **Real-time risk monitoring** | Not enough data | 9.2 (21 reviews) | 
| **Threshold Management** | Not enough data | 9.0 (16 reviews) | 

#### Identity & Authentication - Financial Fraud Prevention

| Feature | Mangopay | Sift | 
|---|---|---|
| **Identity Verification** | Not enough data | 8.9 (19 reviews) | 
| **MFA** | Not enough data | 9.2 (16 reviews) | 

#### Behavioral & Analytics Detection - Financial Fraud Prevention

| Feature | Mangopay | Sift | 
|---|---|---|
| **Behavioral Analytics** | Not enough data | 8.8 (18 reviews) | 
| **Bot Detection** | Not enough data | 8.6 (16 reviews) | 

#### Audit & Compliance - Financial Fraud Prevention

| Feature | Mangopay | Sift | 
|---|---|---|
| **Audit Trail** | Not enough data | 8.2 (15 reviews) | 
| **Reporting** | Not enough data | 8.7 (19 reviews) | 

### E-commerce Fraud Protection

| Product | Score | Reviews |
|---|---|---|
| **Mangopay** | 8.3/10 | 16 |
| **Sift** | 8.8/10 | 283 |

#### Intelligence

| Feature | Mangopay | Sift | 
|---|---|---|
| **Transaction Scoring** | 8.6 (14 reviews) ✓ Verified | 8.9 (259 reviews) ✓ Verified | 
| **Risk Assessment** | 8.1 (15 reviews) ✓ Verified | 9.0 (265 reviews) ✓ Verified | 
| **Intelligence Reporting** | 8.5 (14 reviews) ✓ Verified | 8.8 (251 reviews) ✓ Verified | 
| **ID Analytics** | 8.1 (14 reviews) ✓ Verified | 8.7 (252 reviews) ✓ Verified | 

#### Detection

| Feature | Mangopay | Sift | 
|---|---|---|
| **Fraud Detection** | 8.6 (14 reviews) ✓ Verified | 9.0 (264 reviews) ✓ Verified | 
| **Alerts** | 8.5 (13 reviews) ✓ Verified | 8.6 (241 reviews) ✓ Verified | 
| **Real-Time Monitoring** | 8.1 (12 reviews) ✓ Verified | 8.9 (257 reviews) ✓ Verified | 

#### Response

| Feature | Mangopay | Sift | 
|---|---|---|
| **Device Tracking** | 7.9 (13 reviews) ✓ Verified | 8.8 (258 reviews) ✓ Verified | 
| **Fraud Markers** | 8.5 (13 reviews) ✓ Verified | 8.9 (255 reviews) ✓ Verified | 
| **Blacklisting** | 8.5 (13 reviews) | 8.8 (249 reviews) ✓ Verified | 
| **Bot Mitigation** | 8.0 (11 reviews) | 8.3 (227 reviews) | 

---
## Categories
**Shared Categories (2):** [Fraud Detection Software](https://www.g2.com/categories/fraud-detection), [E-commerce Fraud Protection Software](https://www.g2.com/categories/e-commerce-fraud-protection)

**Unique to Mangopay (1):** [Payment Processing Software](https://www.g2.com/categories/payment-processing)

**Unique to Sift (2):** [Risk-Based Authentication Software](https://www.g2.com/categories/risk-based-authentication-rba), [Financial Fraud Prevention](https://www.g2.com/categories/financial-fraud-prevention)


---
## Reviewer Demographics

### By Company Size

| Segment | Mangopay | Sift | 
|---|---|---|
| **Small-Business** | 45.2% | 16.0% | 
| **Mid-Market** | 40.5% | 56.8% | 
| **Enterprise** | 14.3% | 27.2% | 

### By Industry

#### Mangopay

- **Financial Services:** 38.1%
- **Retail:** 9.5%
- **Health, Wellness and Fitness:** 7.1%
- **Airlines/Aviation:** 4.8%
- **Apparel & Fashion:** 4.8%
- **Cosmetics:** 4.8%
- **Information Technology and Services:** 4.8%
- **Marketing and Advertising:** 4.8%
- **Internet:** 2.4%
- **Leisure, Travel & Tourism:** 2.4%
- **Other:** 16.7%

#### Sift

- **Financial Services:** 35.4%
- **Information Technology and Services:** 5.8%
- **Consumer Services:** 5.5%
- **Apparel & Fashion:** 4.4%
- **Leisure, Travel & Tourism:** 3.4%
- **Retail:** 3.1%
- **Computer & Network Security:** 2.6%
- **Internet:** 2.4%
- **Banking:** 2.4%
- **Security and Investigations:** 2.4%
- **Other:** 32.7%

---
## Alternatives

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---
## Top Discussions

### Mangopay

No discussions available for this product.

### Sift

- Title: [How does Sift use machine learning to adapt to evolving fraud patterns?](https://www.g2.com/discussions/how-does-sift-use-machine-learning-to-adapt-to-evolving-fraud-patterns) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift’s machine learning approach is built around real-time risk evaluation, network intelligence, and continuous model refinement. Sift uses custom,..."
- Title: [How does Sift help detect and prevent account takeover attempts?](https://www.g2.com/discussions/how-does-sift-help-detect-and-prevent-account-takeover-attempts) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift’s Account Defense solution helps businesses detect and prevent account takeover by analyzing login and account activity with AI-powered insights,..."
- Title: [How does Sift help businesses protect the full customer journey from fraud?](https://www.g2.com/discussions/how-does-sift-help-businesses-protect-the-full-customer-journey-from-fraud) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift protects the full customer journey rather than a single fraud moment in isolation. The Sift platform spans account creation, login, transaction and..."
- Title: [How does Sift help reduce friction for trusted users while maintaining security?](https://www.g2.com/discussions/how-does-sift-help-reduce-friction-for-trusted-users-while-maintaining-security) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift reduces friction for trusted users by applying the right level of intervention based on risk. As users move through the journey, Sift evaluates each..."
- Title: [What is Sift best used for?](https://www.g2.com/discussions/what-is-sift-best-used-for) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift is best used by digital businesses that need to manage fraud across account creation, login, payments, and post-transaction activity in one platform...."

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/nethone-mangopay-vs-sift-s-ai-powered-fraud-decisioning-platform-sift)