Best relationship-based access control engine
4 models · updated 2026-07-16
The verdict
SpiceDB leads — All 4 models rank SpiceDB the top pick.
As of 2026-07-16, ChatGPT, Claude, Gemini, Grok collectively rank SpiceDB first for relationship-based access control engine on modelsagree.com.
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Combined ranking
- 1GPT #1Claude #1Gemini #1Grok #1
The strongest all-around Zanzibar-style engine: expressive ReBAC schemas, conditional caveats, mature graph APIs, excellent observability, multiple production datastores, and unusually rigorous per-request consistency controls that prevent stale-permission “new enemy” failures.
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GPT The strongest all-around Zanzibar-style engine: expressive ReBAC schemas, conditional caveats, mature graph APIs, excellent observability, multiple production datastores, and unusually rigorous per-request consistency controls that prevent stale-permission “new enemy” failures.
Claude The most faithful and battle-tested open-source Zanzibar implementation — consistency guarantees via Zookies/ZedTokens actually solve the "new enemy" problem rather than hand-waving it, its schema language handles deep nesting, caveats, and wildcard/public relations cleanly, and AuthZed's managed and dedicated offerings give a real production path with proven scale at large customers; the richest tooling ecosystem (zed CLI, playground, import/export, watch API) of any ReBAC engine.
Gemini The gold standard for Zanzibar-faithful ReBAC. It is highly optimized for scale and performance, and natively enforces strict consistency guarantees via ZedTokens to prevent the "New Enemy" race condition. Its robust schema language (Zed) and first-class integrations with distributed datastores like CockroachDB and Spanner make it the top choice for mission-critical enterprise workloads. [Near-tie with OpenFGA, which offers superior DevEx but lacks SpiceDB's out-of-the-box strict consistency controls].
Grok Most faithful open-source Zanzibar implementation with proven massive scale (billions of relationships, millions of checks/sec, used by OpenAI/ChatGPT Enterprise), strong consistency via ZedTokens, schema language for complex hierarchies/relationships, caveated relationships for hybrid ReBAC+ABAC, excellent tooling (zed CLI, Watch API), and production battle-testing for collaborative/multi-tenant apps; assumption: typical practitioner values correctness, low-latency graph traversal, and real-world reliability over pure ease-of-use.
Where it falls shortper GPT Operating and correctly tuning a distributed permissions database—including schema migrations, caching, datastore behavior, and ZedTokens—is substantial infrastructure work.
per Claude Operationally the heaviest choice — self-hosting the dispatch cluster plus a serious datastore (CockroachDB/Postgres/Spanner) demands real infra expertise, and small teams often end up paying for AuthZed cloud to avoid it.
per Gemini High operational complexity. Deploying and managing a distributed, infrastructure-heavy standalone service is excessive overhead for small to mid-sized applications or teams without dedicated platform engineers.
- 2GPT #2Claude #2Gemini #2Grok #2
A near-tie with SpiceDB for most teams, with CNCF governance, an approachable modeling language, strong SDKs and tooling, contextual tuples, conditions, and capable check/list APIs; especially attractive when portability and straightforward adoption outweigh maximum consistency sophistication.
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GPT A near-tie with SpiceDB for most teams, with CNCF governance, an approachable modeling language, strong SDKs and tooling, contextual tuples, conditions, and capable check/list APIs; especially attractive when portability and straightforward adoption outweigh maximum consistency sophistication.
Claude CNCF-backed (sandbox→incubating trajectory) with Okta/Auth0 behind it, so it pairs vendor neutrality with commercial support via Auth0 FGA; the modeling DSL is the easiest to learn in the category, SDK coverage is broad, contextual tuples and conditions cover most ABAC-hybrid needs, and single-binary deployment on plain Postgres/MySQL makes it far cheaper to run than SpiceDB — a near-tie with #1 for most teams that don't need Zanzibar-grade consistency semantics.
Gemini Offers outstanding developer experience (DevEx) with a visual playground, excellent modeling SDKs, and backing from the CNCF and Okta. Its support for contextual tuples allows developers to evaluate dynamic runtime attributes alongside relation graphs. This flexibility makes it the easiest and most practical choice for typical SaaS authorization needs. [Near-tie with SpiceDB, but ranked second because it requires custom logic to match SpiceDB's strict Zanzibar consistency guarantees].
Grok Mature CNCF Sandbox Zanzibar-style engine with excellent developer experience, strong performance/caching, conditions for contextual checks, broad adoption/neutrality (originated at Auth0/Okta), easy modeling/visualization, and seamless managed options (Auth0 FGA); delivers high value for collaborative apps needing hierarchies/sharing without SpiceDB's full complexity.
Where it falls shortper GPT Its consistency model remains less precise than SpiceDB’s token-based causal consistency, making permission revocation and immediate read-after-write behavior harder to guarantee efficiently.
per Claude Weaker consistency story than SpiceDB (no full Zookie equivalent; you manage staleness yourself), and very deep or recursive relation graphs can hit performance and modeling limits sooner.
per Gemini Does not strictly enforce Zanzibar's bounded consistency tokens out of the box, exposing distributed applications to potential transient consistency bugs (the "New Enemy" problem) unless custom caching and token forwarding are implemented.
- 3GPT #4Claude #3Gemini #4Grok #3
Fast-moving open-source Zanzibar-style engine that deliberately blends ReBAC with attribute-based rules in one schema, has a good playground and data-sync tooling for keeping relationships current from existing databases, and offers a lighter operational footprint than SpiceDB while supporting tenancy natively — strong value for mid-size teams wanting self-hosted FGA without a cluster.
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Claude Fast-moving open-source Zanzibar-style engine that deliberately blends ReBAC with attribute-based rules in one schema, has a good playground and data-sync tooling for keeping relationships current from existing databases, and offers a lighter operational footprint than SpiceDB while supporting tenancy natively — strong value for mid-size teams wanting self-hosted FGA without a cluster.
Grok Solid OSS Zanzibar implementation with growing real-world adoption, strong multi-tenant focus, good performance, and developer-friendly design that balances fidelity to the model with practicality for SaaS teams.
GPT A practical open-source ReBAC engine with readable modeling, native multi-tenancy, contextual tuples, schema versioning, testing support, and useful RBAC/ABAC combinations; particularly compelling for multi-tenant SaaS teams wanting strong capabilities without adopting the largest platforms.
Gemini A developer-centric open-source engine with an elegant YAML-based schema modeler, built-in multi-tenancy support, and pluggable database backends (Postgres, MySQL, CockroachDB). It offers a lighter operational footprint than SpiceDB, making it an excellent middle-ground option for rapidly iterating teams.
Where it falls shortper GPT It has less production validation, ecosystem depth, operational documentation, and managed-service maturity than the leaders.
per Claude Much smaller community and production track record than SpiceDB/OpenFGA, and the commercial company behind it is young — a real bet on longevity for a system this load-bearing.
per Gemini Lacks the deep enterprise adoption, large-scale community ecosystem, and extensive client SDK catalog offered by OpenFGA or SpiceDB, resulting in a higher integration burden.
- 4GPT #3Claude #4Gemini —Grok —
A capable ReBAC-first Zanzibar implementation with REST and gRPC APIs, transitive graph evaluation, broad SDK coverage, straightforward SQL-backed self-hosting, and a credible managed path through Ory Network; a strong fit when authorization sits alongside Ory’s identity stack.
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GPT A capable ReBAC-first Zanzibar implementation with REST and gRPC APIs, transitive graph evaluation, broad SDK coverage, straightforward SQL-backed self-hosting, and a credible managed path through Ory Network; a strong fit when authorization sits alongside Ory’s identity stack.
Claude The original open-source Zanzibar interpretation, integrates naturally if you're already on the Ory stack (Kratos/Hydra/Oathkeeper) or Ory Network, with the Ory Permission Language (OPL, TypeScript-flavored) making models approachable to app developers; solid, simple, and proven for straightforward relationship models.
Where it falls shortper GPT Its greatest value is tied to the broader Ory ecosystem, while standalone users get a smaller tooling and community footprint than SpiceDB or OpenFGA.
per Claude Development pace and feature depth have lagged the category — no caveats/conditions comparable to SpiceDB or OpenFGA, and it's mostly compelling as part of the Ory suite rather than as a standalone best-of-breed pick.
- 5GPT —Claude —Gemini #3Grok —
A highly pragmatically designed hybrid service that seamlessly blends ReBAC, RBAC, and ABAC. It allows developers to evaluate permissions using a mix of centralized relational graphs and localized application data via its Polar policy engine, bypassing the need to sync every piece of application state to a secondary database.
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Gemini A highly pragmatically designed hybrid service that seamlessly blends ReBAC, RBAC, and ABAC. It allows developers to evaluate permissions using a mix of centralized relational graphs and localized application data via its Polar policy engine, bypassing the need to sync every piece of application state to a secondary database.
Where it falls shortper Gemini Not an open-source engine, forcing a hard vendor lock-in to Oso's proprietary SaaS platform (Oso Cloud) for production-grade scale, distributed multi-region sync, and SLA guarantees.
- 6GPT #5Claude —Gemini #5Grok —
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.
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GPT 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 it falls shortper 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.
per 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.
- 7GPT —Claude #5Gemini —Grok —
The former Warrant engine under WorkOS, now the strongest fully-managed, zero-ops ReBAC option for product teams that want Zanzibar-style checks (plus query/list endpoints and warrant tokens for consistency) without running anything; pricing and DX aimed squarely at B2B SaaS builders already using WorkOS for SSO/SCIM.
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Claude The former Warrant engine under WorkOS, now the strongest fully-managed, zero-ops ReBAC option for product teams that want Zanzibar-style checks (plus query/list endpoints and warrant tokens for consistency) without running anything; pricing and DX aimed squarely at B2B SaaS builders already using WorkOS for SSO/SCIM.
Where it falls shortper Claude Proprietary and hosted-only — no self-hosting or open-source escape hatch, so you accept vendor lock-in and data-residency constraints that the open engines don't impose.
Just missed the top 5
GPT WorkOS FGA — excellent identity-suite integration, but its substantially re-architected 2026 generation is too new and narrower than the mature general-purpose engines · Cerbos PDP — strong stateless RBAC/ABAC policy engine, but ReBAC is not its primary native architecture
Claude Oso — Oso Cloud's Polar language elegantly unifies ReBAC+ABAC and its local authorization/data-filtering story is excellent, but it's policy-language-first rather than a pure relationship-graph engine, and the deprecated open-source library left migration scars
Gemini Ory Keto — Slower feature velocity and lack of modern developer tooling like schema migration helpers or a visual editor make it less appealing compared to OpenFGA and SpiceDB, unless already deeply invested in the Ory ecosystem · Warrant — Development as a standalone general-purpose ReBAC engine has ceased following its acquisition by Clerk
Grok Auth0 FGA — strong managed OpenFGA option but tied to Auth0 ecosystem/less flexible for non-Okta users
By model
ChatGPT
- 1.SpiceDB
- 2.OpenFGA
- 3.Ory Keto
- 4.Permify
- 5.Topaz
Claude
- 1.SpiceDB
- 2.OpenFGA
- 3.Permify
- 4.Ory Keto
- 5.WorkOS FGA
Gemini
- 1.SpiceDB
- 2.OpenFGA
- 3.Oso Cloud
- 4.Permify
- 5.Topaz
Grok
- 1.SpiceDB
- 2.OpenFGA
- 3.Permify
Common questions
What is the best relationship-based access control engine according to AI models?
SpiceDB leads. All 4 models rank SpiceDB the top pick. The current top 3: SpiceDB, OpenFGA, Permify. Ranked by asking ChatGPT, Claude, Gemini, Grok the same buying question and merging their top-5 picks, updated 2026-07-16. Source: modelsagree.com.
Which relationship-based access control engine did each AI model pick first?
ChatGPT: SpiceDB. Claude: SpiceDB. Gemini: SpiceDB. Grok: SpiceDB.
How is this relationship-based access control engine ranking made?
ChatGPT, Claude, Gemini, Grok are each asked the same buying question in a fresh session with no system steering. Their top-5 answers are merged (rank 1 = 5 pts … rank 5 = 1 pt) into the consensus ranking, re-polled weekly and tracked over time.
More on how polling works: full methodology →
This ranking moves
We re-poll all four models weekly. Get one short email when a #1 flips.
Cite this ranking
ModelsAgree, “Best relationship-based access control engine” — merged ranking from ChatGPT, Claude, Gemini & Grok, polled 2026-07-16. https://modelsagree.com/best/best-relationship-based-access-control-engine (CC BY 4.0)
Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled weekly