The verdict
Topaz appears in 1 AI-ranked category.
Combines a relationship directory with local policy evaluation, supporting ReBAC alongside RBAC and ABAC while allowing low-latency sidecar or edge deployment; valuable when policies need both graph relationships and rich contextual logic.
Gemini Bridges the gap between OPA's policy-as-code standard (Rego) and Zanzibar-style directory concepts. It runs as a low-latency sidecar microservice, querying a local ReBAC directory to make authorization decisions in microseconds. This is ideal for teams wanting to combine relation-based modeling with traditional policy-based checks.
Where Topaz falls short, per the models
- GPT Its OPA-derived policy-plus-directory architecture is more complex than a purpose-built tuple engine, and the default embedded directory is unsuitable for very large authorization graphs.
- Gemini Because it relies on Rego and the OPA engine, performing deep recursive graph traversals or reverse-index queries (such as listing all resources a user can access) is highly complex to write and less performant compared to native ReBAC graph engines.
Top alternatives per the models: SpiceDB · OpenFGA · Permify · Ory Keto
Watch Topaz
Boards re-poll weekly and the models change their minds. One short email only when Topaz's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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Topaz ranks #6 for best relationship-based access control engine by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-relationship-based-access-control-engine?utm_source=badge&utm_medium=embed&utm_campaign=badge-topaz)<a href="https://modelsagree.com/best/best-relationship-based-access-control-engine?utm_source=badge&utm_medium=embed&utm_campaign=badge-topaz"><img src="https://modelsagree.com/badge/topaz.svg" alt="Topaz — ranked #6 for Best relationship-based access control engine by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled weekly · raw reasoning shown verbatim · methodology