Feedzai vs Tazama
Feedzai
feedzai.comTazama
tazama.orgSide by side
| Figure | Feedzai | Tazama |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Financial Crime Compliance Software | 7.2 (#17) | 8.3 (#3) |
| Spec score · Payment Fraud Detection Software | 7.2 (#20) | 8.3 (#8) |
| Founded | 2011 | LinkedIn lists Tazama.org as founded in 2024. |
| Intended users | Feedzai describes its platform as serving financial institutions including banks, payment processors, and merchant acquirers. | Tazama identifies central banks, payment services advisors, banks, government agencies and financial institutions as target customers. |
| Purpose | Feedzai provides AI-powered fraud prevention and financial crime solutions for financial institutions. | Tazama is an open-source, real-time transaction-monitoring platform for detecting fraud and associated money-laundering typologies. |
| Support | Feedzai provides a support portal with a knowledge base, documentation access, training resources, and ticket requests. | Users can seek help through community Slack, GitHub issues, user manuals and implementation partners offering delivery and support contracts. |
Plans
In their own words
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.