Compare · Kintari vs Notion

All-in-one in the cloud vs. all-in-one at home.

Notion is the established industry standard for workspaces: documents, databases, wikis, projects, and AI in one surface, for teams in the cloud. Kintari aims at the same breadth — but in an encrypted vault on your machine, with model choice per task and without a cloud requirement. Your data is yours.

local workspace Markdown-native model choice per task €99 once
Chapter I · What Notion is built for

Team knowledge, live shared.

Notion has a very clear ambition and pulls it off well: one tool for the whole company, where wiki, documentation, tables, project board, and notes live together. Multiple people write in the same document, comments stay attached to blocks, databases link flexibly to one another.

On top of that, Notion has taken a big step into AI in recent years: "Ask Notion" and "Research Mode" search the whole workspace and connected apps (Slack, Google Drive, GitHub, Jira), with the underlying models (GPT-5, Claude Opus, OpenAI o3) selectable. Notion 3.0 added autonomous agents; the 2026 Workers can even run code directly in the workspace.

What Notion brings is a mature platform with a huge community, thousands of templates, and 8,000+ integrations via Zapier and friends. For many teams it is the right tool — Kintari doesn\'t try to beat Notion on its home turf.

When Notion
  • — Multiple people write the same documents at once.
  • — You need wiki, databases, and projects in one tool.
  • — Cloud processing is OK for your content.
  • — You want a large template and plugin ecosystem.
  • — Mobile-first (full iOS/Android parity).
Chapter II · Where Kintari takes a different path

Four axes, moved.

I.

Vault rather than cloud workspace

Notion stores your workspace in AWS data centres in the US — EU data residency is available only at the Enterprise tier. Kintari keeps your knowledge in an encrypted file on your machine. A stolen laptop gives nothing away as long as the vault passphrase isn\'t with it; no data- processing agreement is needed, because there is no processor.

For professional confidentiality (lawyer, tax adviser, notary, medical practice), that is a qualitative difference, not a tier detail.

II.

Local models possible, not cloud-only

Notion AI runs on OpenAI and Anthropic models in Notion\'s cloud. Your workspace content goes to those providers. Kintari lets you choose per task: a local open-source model via Ollama (Qwen, Mistral, Llama, DeepSeek) — or a cloud model of your choice with your own API key.

Sensitive research on the local model, general brainstorming on a cloud model — visibly separated in the UI, not gated behind pricing tiers.

III.

Markdown-native, no vendor lock-in

Notion content lives in proprietary block structures. On Markdown export, callouts, toggles, synced blocks, embedded media, and database views get lost or transformed. What you get out is a rough approximation.

Kintari content is Markdown files in your filesystem, plus an encrypted index around them for search and the knowledge graph. If Kintari ever stops being the right tool, your notes still are what they always were: readable text files.

IV.

Consistently fluid, agent-friendly

Notion gets sticky at scale — thousands of database entries mean noticeable load times, because every query is a cloud round-trip. Kintari runs locally: full-text, semantic search, and knowledge graph stay smooth as the knowledge base grows.

Add to that external CLI agents — Claude Code, Gemini CLI, OpenCode, Aider — talking to your workspace in the same session. Research with the built-in agent, code refactors with Claude Code, all through the same approval queue.

Chapter III · Side-by-side

Axis by axis.

Axis Notion Kintari
Data locationNotion cloud (AWS US, EU only on Enterprise)encrypted vault, local
Self-hostingnot availablenative — runs on your device
Formatproprietary blocks, lossy exportMarkdown + encrypted index
AI modelsGPT-5, Claude, o3 in Notion\'s cloudcloud models of your choice + local via Ollama
Real-time collaborationyes, multi-user livesingle-user; shared vault sequential
Performance at scalecloud-bound, slows downconsistently local
CLI agent bridgevia Workers (cloud sandbox)Claude Code, Gemini CLI, others, local
TelemetrySOC 2 / ISO, but server-sidenone
PricePlus $10 · Business $20 · Enterprise custom€99 once · cloud tokens separate
Chapter IV · Where Notion wins

What we don\'t promise.

If you work with five, ten, or a hundred colleagues on the same documents at once, Notion gives you something we deliberately don\'t build: real-time multiplayer with per-block comment threads, live cursors, mention pipelines. That is Notion\'s home turf.

On top of that, the mature enterprise features (SCIM, SAML SSO, audit logs, SOC 2 Type II, ISO 27001), an enormous template gallery, full-feature mobile apps, and a connector universe with thousands of pre-built integrations via Zapier and native bridges.

Kintari is the right choice when your knowledge workplace has to stay local, when Markdown portability matters to you, and when you want model choice per task. For a team wiki with live collaboration, Notion is and remains an unusually good tool.

Questions we hear

FAQ — Notion and Kintari.

Can I continue using my Notion content in Kintari?
Partly. Notion exports to Markdown, HTML, and PDF — those files you open and index in Kintari like any other. What is lost on export stays lost: callouts, toggles, synced blocks become raw HTML, database views flatten, embedded media gets partly discarded. We help with migration — it is not a 1:1 conversion, but a deliberate transfer of the content you actually want to keep.
Does Kintari have real-time collaboration like Notion?
Honestly, no. Kintari is a single-user workplace with a local vault. If your team writes the same documents at the same time, Notion is the right tool. Kintari solves a different problem: knowledge and AI work that must not leave the house. Multi-person organisations share the workspace via a folder on an organisation-owned, encrypted share — sequentially, not live.
Notion AI also has built-in knowledge AI — what is the difference?
Notion AI runs on OpenAI and Anthropic models in Notion's cloud. Your workspace content goes to the cloud providers as a matter of necessity. Kintari lets you decide per task: a local model via Ollama when content cannot leave the house — or a cloud model with your own API key when that fits. Data sovereignty here is not a pricing feature, it is an architectural decision.
What about EU data residency? Notion offers that.
Yes — but only on the Enterprise tier. On Plus or Business, your data still lives in US data centres. In Kintari, "data residency" is your hard disk; the question of tier doesn't arise. And for European professional confidentiality (lawyers, tax advisers, notaries), "on your machine" is architecturally cleaner than "on AWS Frankfurt under an Enterprise contract".
Large knowledge bases slow Notion down — how does Kintari behave?
Notion shows noticeable load times with thousands of database entries, because every query is a cloud round-trip. Kintari runs locally: full-text search, knowledge graph, and the agent all work on your hardware without network latency. A knowledge base with tens of thousands of notes stays fluid as long as the box behind it keeps up.
Kintari is €99 once, Notion is $20 per user per month — how does that compare?
For a single person using Notion Business for a year: $240. Kintari, €99 once. From year two onward, Kintari runs without further licence cost; cloud tokens you only pay if you use cloud models. For teams with genuine collaboration needs, Notion may still be the right choice — the calculation is not just a price question, it is an application question.
Getting started

Workspace yes — cloud optional.

If Notion almost fits but the cloud requirement or the model choice gets in the way, a 30-minute call usually clarifies whether Kintari carries your workflow.

Book a demo call Kintari home