Mastercard Decision Intelligence vs Tazama
Mastercard Decision Intelligence
mastercard.comTazama
tazama.orgSide by side
| Figure | Mastercard Decision Intelligence | Tazama |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Financial Crime Compliance Software | 7.5 (#12) | 8.3 (#3) |
| Spec score · Payment Fraud Detection Software | 7.4 (#18) | 8.3 (#8) |
| Deployment | The Risk Decisioning platform can be deployed in the cloud or on premises and offers millisecond response times. | A Docker Compose stack runs the platform on one machine for evaluation, and production deployment guides cover Kubernetes on premises, EKS, GKE and AKS. |
| Founded | Mastercard was founded as the Interbank Card Association in 1966. | LinkedIn lists Tazama.org as founded in 2024. |
| Purpose | Decision Intelligence is a transaction risk monitoring solution that helps prevent fraud and approve genuine transactions in real time. | Tazama is an open-source, real-time transaction-monitoring platform for detecting fraud and associated money-laundering typologies. |
Plans
Mastercard Decision Intelligence
- Decision Intelligence ProPriced on request
In their own words
Mastercard Decision Intelligence
Mastercard Decision Intelligence has no write-up on Specifiction yet; its figures are above.
Tazama
Tazama is an open-source platform for monitoring transactions in real time for fraud and money-laundering typologies. It evaluates current transaction information together with historical participant behavior, applies configurable rules and thresholds, and can block high-risk payments or send alerts for investigation. Rule Studio gives analysts visual rule building, transaction replay, and review before deployment. Connection Studio and DEMS map and ingest message formats, including ISO 20022 payment messages. Investigators manage alerts through triage, assignment, investigation, filing, and closure in a case system that records decisions. BIAR combines detection and case results in a lakehouse with dashboards and calibration notebooks. Studio changes, case actions, triage decisions, and workflow transitions are audited. Docker Compose supports evaluation on one machine; production guides cover on-premises Kubernetes, EKS, GKE, and AKS. The software has no license charge, but hosting, implementation, and support require resources.