Featurespace vs Sift
payment fraud & risk head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Quote-based | Subscription tiered on transaction volume |
| Deployment | Cloud, On-premise | Cloud |
| Company size | Enterprise | Mid-market, Enterprise |
| Stated ERP integrations | None listed | None listed |
| Vendor | Featurespace | Sift |
Our take
Where Featurespace leads
- Stronger evidenced coverage on 8 of the 16 capabilities where they differ (led by combined fraud + aml detection (framl) and aml transaction monitoring).
Where Sift leads
- Stronger evidenced coverage on 8 of the 16 capabilities where they differ (led by cross-institution network intelligence and account takeover (ato) detection).
Where they differ
The 16 capabilities (of 51 in the payment fraud & risk taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Cross-institution network intelligenceTransaction & Payment Fraud Detection | Not evidenced | Core strength Global network intelligence drawn from cross-customer event data |
| Combined fraud + AML detection (FRAML)AML Transaction Monitoring & Compliance | Core strength Combined fraud + AML detection (FRAML) | Not evidenced |
| Account takeover (ATO) detectionAccount Protection & Abuse Prevention | Not evidenced | Core strength Account takeover detection with login/auth risk scoring |
| Custom risk-scoring APIRisk Intelligence & Analytics | Not evidenced | Core strength Sift Score API for custom risk models |
| Public API & webhooksPlatform, Deployment & Integrations | Not evidenced | Core strength Real-time event and decision webhooks plus Score API |
| Card-testing & stolen-card detectionTransaction & Payment Fraud Detection | Not evidenced | Supported Stolen-card and card-testing fraud detection |
| AML transaction monitoringAML Transaction Monitoring & Compliance | Supported Real-time AML alerting | Not evidenced |
| Suspicious activity / SAR-STR reportingAML Transaction Monitoring & Compliance | Supported Suspicious activity pattern recognition with automated case creation | Not evidenced |
| Fake / new-account fraud detectionAccount Protection & Abuse Prevention | Not evidenced | Supported Fake account / account-creation abuse prevention |
| Risk-based alert prioritizationCase Management & Investigation | Supported Alert assignment across multiple customers/entities | Not evidenced |
| Pre-built dashboards & reportingRisk Intelligence & Analytics | Not evidenced | Supported Reporting on fraud losses and approval rates |
| Model transparency / explainabilityRisk Intelligence & Analytics | Not evidenced | Supported "Clearbox" model transparency into signals behind a score |
| SaaS / cloud deploymentPlatform, Deployment & Integrations | Supported SaaS (cloud) deployment, PCI-DSS compliant | Not evidenced |
| On-premise deployment optionPlatform, Deployment & Integrations | Supported | Not evidenced |
| Multi-tenant architecturePlatform, Deployment & Integrations | Supported | Not evidenced |
| Adaptive machine-learning risk modelsTransaction & Payment Fraud Detection | Core strength Adaptive Behavioral Analytics + Automated Deep Behavioral Networks | Supported |
Both grade identically on the other 35 capabilities — see each product's full profile: Featurespace, Sift.
Featurespace vs Sift — FAQs
Is Featurespace or Sift better for ERP integration?
They state different ERP coverage: Featurespace lists no ERP integrations publicly; Sift lists no ERP integrations publicly.
Which is cheaper, Featurespace or Sift?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what Featurespace and Sift should each cost you — and whether a third option belongs on your shortlist.