How Trinitis Is Different

If you're evaluating data governance, you'll find a capable field of established solutions. Most of them are genuinely good — and most are built for large enterprises: heavy to roll out, sold through long sales cycles, and priced for organizations with dedicated governance teams and enterprise budgets. Some also sit directly in your query path, acting as a proxy your users and applications must route through.

Trinitis takes a different shape. Here's where we fit — and where we don't.

We orchestrate; we don't intercept.

Define your access policies once, in plain terms, and Trinitis translates them into each platform's own native controls. The platform enforces them, and Trinitis keeps verifying that live access still matches your policy. We're not a proxy — your queries and your data never route through Trinitis, so there's no added latency and nothing new in your path that can fail.

Your data stays yours — we never store it.

Adopting Trinitis doesn't create a new copy of your sensitive data or a new place for it to be exposed. Your data stays in your platforms. Trinitis stores only governance metadata — policies, grants, group memberships, and access records — never the contents of your tables. For a governance tool, that's the point: we shrink your risk surface instead of adding to it.

Built to adopt in minutes, not months.

Connect a platform and Trinitis reads your existing access controls, then drafts equivalent policies for your review — approve, modify, or reject. You start from your real, current state instead of a blank slate, and you're governing in minutes. No implementation project, no professional-services engagement.

The same rules for people and AI agents.

Your RAG pipelines, LLM assistants, and ML jobs reach into your data too. Trinitis governs them with the same groups and tags you use for people — add a service account to a group and it inherits exactly that access, nothing more.

One tool across your whole stack.

Snowflake, Databricks, BigQuery, Redshift, and PostgreSQL — governed from one place, with one policy model and one audit trail. S3/Iceberg is supported today for discovery and visibility, with enforcement on the way.

How the approaches compare

Who Trinitis is for — and who it isn't.

If you're standardizing an entire enterprise's data intelligence — catalog, lineage, quality, and governance together — with the budget and timeline that implies, a large platform may be the right call, and Trinitis can sit alongside it as your access layer. But if you need cross-platform access governance you can turn on yourself, quickly and affordably, without adopting a whole platform or routing your data through a proxy — that's exactly what we built Trinitis for.