Compare: Your cloud's retrieval, or knowledge any agent can read

ContextNest vs Atlan and Collibra

Their products are infrastructure for engineers to assemble on their cloud. ContextNest is the finished, governed brain your whole business uses, with engineers right in it through the CLI, MCP and open source.

What it is

Atlan and Collibra

Atlan and Collibra extend data governance into context for agents: lineage, glossary, policy over your data estate. ContextNest governs the written knowledge itself.

ContextNest is approved knowledge that any agent, on any cloud, can read.

Sources

Choose Atlan or Collibra when a data governance team already runs a catalog program.

Where Atlan and Collibra wins

Catalog programs
A fit for data governance teams with an existing catalog.
Lineage and policy
Lineage and policy across the data estate.
Certified context
Atlan has people verify and certify context before production, and offers an MCP server.

Where Atlan and Collibra strains

Each one shows up when the same knowledge has to serve many people, many agents and more than one model.

Data assets first
They govern tables, lineage and glossary terms. The written policies and decisions agents act on aren't their focus.
Catalog history
Catalog history records metadata changes. Serving the approved version of a document to an agent is a different job.
Built for data teams
The catalog and glossary are made for data teams. Business owners of written knowledge usually work elsewhere.

Why teams pick us

Why teams pick ContextNest over Atlan and Collibra

Why we built ContextNest →

Runs anywhere. Same nest.: Start with plain files on a laptop with the open-source CLI, self-host the server in Docker, or let us host it. Push the same nest from one to the next, with no migration.
No infrastructure to stand up: No graph database, no vector cluster, no data platform, no ontology pipeline. It starts as plain files, and hosted is free to start.
A product people open every day: A Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest. PromptOwl agents run on top.
Agents that keep it whole: Capture, curator and retriever agents ship in the ContextNest plugin for Claude Code: they keep what's worth keeping, make a correction land everywhere, and answer with citations.
Governed and enterprise-ready: Turn on review and a named owner approves before AI may use it, every version is kept, and every read is recorded. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open where it counts: The CLI, engine and MCP server are open source (AGPL-3.0), with an open spec and free starter vaults. It all runs on a laptop.

Side by side

ContextNest and Atlan and Collibra, on the questions that decide it.

The question	Atlan and Collibra	ContextNest
Who it's built forWho is the product made for?	Data and engineering teams assembling governance on Atlan or Collibra.	The whole business: leaders, teams, engineers and their agents.
What it governsWhich kind of knowledge does it govern for agents?	PartlyMetadata, lineage, glossary and policies over data assets.	YesDocuments, policies, decisions and playbooks: the knowledge agents act on.
Native to what you already runIs it already part of the cloud, tenant or platform you've standardized on?	YesConnects to the data platforms your data team already catalogs.	NoA new vendor in your stack. It connects to your platforms over MCP and APIs.
Tables, metrics and data relationshipsDoes it model structured data for agents to query?	PartlyMetadata, lineage and glossary over data assets.	NoDocuments and decisions, not table or metric modeling. Use it next to your data platform.
Multi-hop relationship reasoningCan agents follow relationships across many entities?	PartlyLineage across assets.	PartlyGraph-aware selectors follow links between documents (ctx query --hops). Not a graph database.
Search across your other appsDoes it search across the apps your company already uses?	PartlySearch across the data estate, not documents in your other apps.	PartlyFull-text and selector search inside the nest, not across your other apps.
A person approves firstDoes a named owner approve knowledge before AI may use it?	YesHumans verify and certify context before production (Atlan).	YesPer-document steward approval. Governed nests serve only approved versions. Turned on per nest.
VersionedCan you rebuild what any version said, and keep old versions out of answers?	PartlyCatalog history. Not document version serving.	YesEvery change is versioned and hash-chained. Rebuild any version (ctx reconstruct).
Record of readsIs there a record of who read what?	PartlyCatalog audit. Collibra AI Agent Registry tracks agents.	YesEvery read is recorded: which person or API key, which document, and when.
What you provision firstWhat has to be set up before it works?	A catalog platform connected to your data estate.	Nothing to stand up: plain files on a laptop, one Docker container on your servers, or hosted, free to start.
Time to first governed answerHow long until an agent answers from approved knowledge?	PartlyAfter the catalog is connected and certified by your data team.	YesMinutes: create a nest, add documents, approve them, connect an agent.
Ready-to-use UI for non-engineersCan people outside engineering read, edit, approve and ask, without a build?	PartlyCatalog and glossary for data teams.	YesA Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest.
Runs local, self-hosted or hostedCan the same knowledge run on a laptop, on your servers and in the cloud?	NoSaaS.	YesThe same nest runs as local files (CLI), self-hosted (Docker) or hosted. Push from one to the next with no migration.
SSOSingle sign-on with your identity provider?	YesEnterprise SSO.	PartlyEvery plan includes Google sign-in. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open source coreIs the core open source, and can you run it without a cloud bill?	NoProprietary.	YesThe CLI, engine and MCP server are open source (AGPL-3.0), with an open spec (Apache 2.0). It runs on a laptop.
Server and UI licenseWhat license covers the server and interface your team uses?	Proprietary SaaS.	The Community server, wiki and read log are commercial: free for up to 10 users, with a free license key.
Ships with agents that maintain the knowledgeDo agents help keep the knowledge consistent as it changes?	PartlyAI suggests metadata. People certify it (Atlan).	YesCapture, curator and retriever agents ship in the ContextNest plugin for Claude Code, plus Hootie in the nest.
Works across models and toolsCan agents on any model, and outside this platform, read it?	YesMCP server (Atlan).	YesClaude, Cursor and any MCP client.
Proven at very large scaleIs it proven in very large enterprise deployments?	YesLarge data-governance programs.	PartlyA newer product with a smaller production footprint than these platforms.
Available todayCan you buy and use it today?	YesShipping.	YesShipping today.

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See the cost comparison: what each stack costs to run →

Last reviewed October 2026. Based on each vendor's public website and documentation, and prices show the month we checked them. Products change quickly, so check the vendor's current documentation before you decide. See something out of date? Tell us and we'll fix it.Product names and logos are trademarks of their owners; used for identification only; no endorsement or affiliation implied.

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