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Baserow Review: A No-Code Database With a Local-AI Field

·11 min read·By Hans Kuepper · Founder of PromptQuorum · Discovery engine for open-weight & open-source AI
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Baserow is a free, open-source (MIT-licensed core), no-code database and application builder — an Airtable alternative — whose AI field can connect to a self-hosted Ollama endpoint on top of cloud providers like OpenAI, Anthropic, Mistral, and OpenRouter. It ships as a hosted cloud product (baserow.io) or as a self-hosted Docker deployment; there is no native desktop app. The AI field itself is a Premium-tier feature, on cloud or self-hosted, so using it with a local Ollama model still requires a paid Baserow license — Ollama support removes the requirement to send AI-field prompts to a cloud provider, it does not make the AI field free.

Baserow (baserow.io, source code at github.com/baserow/baserow) is an open-source, no-code database and application builder positioned as an Airtable alternative. It earns a place in a local-AI directory because of one specific feature: on a self-hosted instance, its AI field can call a local Ollama endpoint instead of only OpenAI or Anthropic, so an AI-generated summary or classification never has to leave your own infrastructure. This review covers what Baserow actually is, how the AI field and its Ollama support work, deployment and pricing, and who it fits.

Key Takeaways

  • Baserow (baserow.io) is an open-source, no-code database and application builder positioned as an Airtable alternative
  • Core is MIT-licensed; the premium/ and enterprise/ directories in the same repository ship under their own separate license files, confirmed via the repository's own LICENSE file
  • Self-hosted deployment via Docker, Docker Compose, Helm/Kubernetes, or Cloudron; no native desktop app exists as of this review
  • The AI field supports OpenAI, Anthropic, Ollama, OpenRouter, and Mistral on self-hosted instances, configured via environment variables or the admin panel — Ollama support lets AI-field prompts run entirely on your own hardware
  • The AI field is gated behind a Premium plan (cloud, from $10/user/month billed yearly) or a purchased self-hosted Premium/Enterprise license — it is not part of the free MIT edition
  • 5,933 GitHub stars as of this review (github.com/baserow/baserow, verified via GitHub API)
  • Developed by Baserow B.V.; per Baserow's own marketing, over 150,000 users rely on the platform — this review could not independently verify that figure

📍 In One Sentence

Baserow is an open-source (MIT-core), no-code database and application builder, an Airtable alternative, whose AI field — a Premium-tier feature on both cloud and self-hosted instances — can be pointed at a self-hosted Ollama endpoint instead of only OpenAI, Anthropic, Mistral, or OpenRouter.

💬 In Plain Terms

Baserow is a spreadsheet-like database you build apps on top of, without writing code. Its AI field can fill in a cell — a summary, a category, an extracted value — using an AI model. If you self-host Baserow and have a Premium license, you can point that AI field at your own local Ollama server instead of sending the prompt to OpenAI or Anthropic, so the data stays on your own infrastructure.

What Is Baserow?

Baserow is a no-code database and application builder: a spreadsheet-like grid that also functions as a relational database, with views, automations, and app-building on top. Its own GitHub description calls it a platform to "build databases, automations, apps & agents with AI — no code," positioning it as "the best Airtable alternative."

  • Product type: a web application — cloud-hosted at baserow.io, or self-hosted on your own infrastructure via Docker
  • Company: Baserow B.V.
  • Repository: github.com/baserow/baserow, 5,933 stars as of this review, verified via GitHub API
  • License: MIT for the core "Baserow Open Source Edition," per the repository's own LICENSE file; the premium/ and enterprise/ directories inside the same repository are covered by their own separate license files, not MIT
  • Documentation: the docs/ directory is licensed separately under Creative Commons CC BY-SA 4.0
  • Why it is in a local-AI directory: the AI field, on a self-hosted instance, can call a local Ollama model instead of a cloud provider — the specific feature this review focuses on

Baserow's Project History and Version Milestones

Baserow's GitHub repository carries a copyright notice dating to 2019, and the project has shipped continuously since, expanding from a database grid into automations, an application builder, and — most recently — AI fields and an AI assistant ("Kuma") for building bases from natural-language instructions.

  1. 1
    Early releases (2019–2021): Core grid database
    Why it matters: Baserow launched as an open-source, self-hostable alternative to Airtable, focused on a spreadsheet-like grid database with a REST API.
  2. 2
    Views expansion: Gallery, Kanban, Calendar, Form, Timeline
    Why it matters: Added multiple ways to visualize the same underlying data, a core differentiator from a plain spreadsheet.
  3. 3
    Automations introduced
    Why it matters: Added native workflows with triggers, branches, conditions, and loops, moving Baserow from a database into a lightweight workflow tool.
  4. 4
    Application builder introduced
    Why it matters: Let users build front-end apps on top of a Baserow database without writing code, extending the product beyond data storage.
  5. 5
    AI field and Kuma AI assistant introduced
    Why it matters: Added the AI field (per-cell AI generation, classification, and extraction) and Kuma, a natural-language assistant for building bases and automations — both gated to Premium and above.
  6. 6
    v2.3.4 — current stable Docker tag as of this review
    Why it matters: The `baserow/baserow:latest` Docker Hub tag pointed to 2.3.4 at the time of this review's research, with the image actively re-pushed within days — check [Docker Hub](https://hub.docker.com/r/baserow/baserow/tags) directly for the current tag before deploying.

What Can You Do With Baserow?

Baserow's feature set centers on a relational database with multiple views, extended by automations, a no-code application builder, and — the reason it is covered here — an AI field that can run against a local model.

  • Multiple views on one dataset — Grid, Gallery, Kanban, Calendar, Timeline, Form, and Survey views over the same underlying table, per Baserow's own product pages
  • AI field — a field type that generates text (summaries, descriptions, drafts), classifies rows into predefined categories, or extracts values from referenced documents and images (PDF, Word, Markdown, PNG — files up to 10 MB) using a configured AI provider
  • Ollama support in the AI field — on self-hosted instances, an admin can point the AI field at a local Ollama server by host URL, alongside or instead of OpenAI, Anthropic, Mistral, and OpenRouter, so AI-field prompts run on infrastructure you control
  • Kuma AI assistant — a natural-language assistant, available on Premium and above, that Baserow describes as building databases, automations, and applications from a text prompt
  • Application builder — build a front-end app (forms, pages, buttons wired to database actions) on top of a Baserow database without writing code
  • Automations — native workflows with triggers, branches, conditions, and loops, consuming "automation credits" that scale with the pricing tier
  • Dashboards — charts and summary views built from table data
  • Integrations — connects to Postgres, Jira, GitLab, GitHub, and imports CSV, XML, JSON, and Excel files, per Baserow's own integrations documentation

Usage Examples: Three Ways to Use Baserow's Local AI Field

These are concrete workflows built from Baserow's documented AI field behavior — not hypothetical use cases.

Classify support tickets with a local model, no data leaving your network

In a self-hosted Baserow instance with a Premium license and Ollama configured as an AI provider, add an AI field to a support-ticket table that classifies each row into categories like "billing," "bug," or "feature request." Because the provider is your own Ollama server, ticket text — which may include customer PII — never reaches an external API.

Summarize long-form notes referencing an uploaded document

Attach a PDF or Word file to a row, then add an AI field that references that file and asks the configured model to produce a one-paragraph summary. With Ollama as the provider, this works entirely on local compute; the file itself still needs to stay under the field's 10 MB limit.

Use Kuma to scaffold a base, then swap the AI field to Ollama afterward

Use the Kuma AI assistant (which, per Baserow's own positioning, uses a cloud-configured model to interpret your natural-language request) to scaffold a new base's tables and views quickly, then reconfigure any AI fields inside that base to point at your self-hosted Ollama endpoint for ongoing, local-only use.

Baserow Pricing: What Does the AI Field Actually Cost?

Baserow's core database is free and open source, but the AI field — including its Ollama support — requires a Premium plan or higher, on cloud or self-hosted. Pricing below is for Baserow Cloud, per baserow.io/pricing as reviewed for this article; self-hosted Premium/Enterprise licensing is sold separately and was not listed with a fixed public price at the time of this review — contact Baserow directly for a self-hosted license quote.

  • Even on a self-hosted instance with a Premium license, you must still supply your own AI provider credentials — an API key for a cloud provider, or a reachable Ollama host URL — Baserow does not bundle free cloud AI usage into a self-hosted license
  • Baserow Cloud's Free tier includes no AI field access at any usage level
  • Automations, application-builder actions, and Kuma AI assistant requests all draw from a shared "automation credits" pool that scales by plan

Free

Cloud price:
$0/month — 3,000 rows, 2 GB storage per workspace
AI field included?:
No

Premium

Cloud price:
$10/user/month billed yearly ($12/month billed monthly)
AI field included?:
Yes

Advanced

Cloud price:
$18/user/month billed yearly ($22/month billed monthly)
AI field included?:
Yes, plus AI agent nodes

Enterprise

Cloud price:
Custom pricing, contact sales
AI field included?:
Yes, plus SSO and audit logs

This review treats the AI field's Ollama support as the headline local-AI feature, but it is worth being explicit: local-model support here reduces where your data is sent, not what Baserow charges for the feature itself. Budget for a Premium license in addition to whatever hardware runs your Ollama server.

Baserow vs. Airtable

Baserow and Airtable solve the same basic problem — a spreadsheet-like database with views and automations — but differ sharply on self-hosting, licensing, and AI-provider choice. Airtable is the more established, cloud-only product; Baserow is the open-source option with a self-hosted path.

Self-hosting

Baserow:
Yes — Docker, Compose, Helm, Cloudron
Airtable:
No, cloud-only

Source availability

Baserow:
Core is MIT-licensed and open source
Airtable:
Closed source

Local/self-hosted AI model support

Baserow:
Yes, via Ollama on self-hosted instances
Airtable:
No local-model option found

Free tier

Baserow:
3,000 rows/workspace, no AI field
Airtable:
Free tier exists; verify current limits on airtable.com

Native desktop app

Baserow:
No — web only
Airtable:
No — web and mobile apps, no desktop client either

If keeping AI-field prompts off a cloud provider's servers matters to your compliance posture, Baserow's self-hosted-plus-Ollama path is the differentiator; Airtable has no equivalent local-inference option that this review could find. If you do not need self-hosting or local-model support, Airtable's longer track record and larger integration ecosystem are worth weighing directly against Baserow's feature set — verify current details on each product's own site before deciding.

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Who Should Use Baserow?

Whether Baserow fits depends on whether you need a self-hostable, no-code database, and specifically whether keeping AI-field prompts on local infrastructure via Ollama matters to you.

Use Baserow if you

  • Want a no-code database and app builder you can self-host, rather than a cloud-only product
  • Need the AI field's text generation, classification, or document extraction to run against a local model instead of a cloud API, for data-residency or privacy reasons
  • Are already budgeting for a Premium (or higher) license and are comfortable also operating your own Ollama server
  • Want multiple views (Grid, Kanban, Calendar, Gallery, Form) over the same relational data, plus lightweight automations
  • Value an MIT-licensed core over a fully closed-source product, even though premium AI features sit outside that MIT core

Look elsewhere if you

  • Need AI-field functionality on the free tier — it is not available at any usage level without a Premium license or higher
  • Want a native desktop application — Baserow is web-only, with a desktop app described by its own team as a long-considered, not-yet-scheduled feature
  • Need a general-purpose workflow-automation tool with a local LLM node rather than an AI-augmented database — see the competitors section below for dedicated workflow tools
  • Require independently audited GDPR/HIPAA/SOC 2 certification documents before deployment — verify Baserow's current compliance status directly rather than relying on marketing copy

Competitors and Alternatives

Within workflow and no-code tools that can run against a local model, Baserow is most directly comparable to n8n and the Self-Hosted AI Starter Kit — both let you keep AI processing on your own infrastructure, but as workflow-automation tools rather than a database-first product.

Self-Hosted AI Starter Kit

Best known for:
One Docker Compose stack bundling n8n, Ollama, and Qdrant for local AI workflows
Link:
Self-Hosted AI Starter Kit Review

This is not an exhaustive list of no-code or workflow tools with local-AI options — see the Local LLM Software Directory for the full, regularly updated catalog, including Baserow's own directory entry.

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Common Mistakes When Evaluating Baserow

Most confusion about Baserow comes from assuming the AI field is a free MIT-core feature, or assuming a desktop app exists.

Mistake 1: Assuming self-hosting Baserow unlocks the AI field for free

Self-hosting removes the need to pay Baserow Cloud subscription fees for hosting, but the AI field is still gated behind a purchased Premium or Enterprise license key, even on a self-hosted instance. Ollama support avoids sending prompts to a cloud AI provider — it does not remove the license requirement.

Mistake 2: Expecting a native desktop app

Baserow is a web application, accessed via browser whether cloud-hosted or self-hosted. Baserow's own team has described a desktop app as a long-considered feature request, not something currently in active development — verify current status on the Baserow community forum before assuming one exists.

Mistake 3: Assuming Baserow Cloud supports the same AI providers as self-hosted

Baserow Cloud defaults to OpenAI for the AI field. The wider provider list — OpenAI, Anthropic, Ollama, OpenRouter, Mistral — applies to self-hosted instances, where an admin configures provider credentials directly.

Mistake 4: Treating Baserow's compliance claims as independently audited

Baserow's own marketing references GDPR, HIPAA, and SOC 2 Type II. This review did not independently verify current audit status — request Baserow's own compliance documentation directly if this matters for a regulated deployment.

Frequently Asked Questions

What is Baserow?

Baserow (baserow.io) is an open-source, no-code database and application builder positioned as an Airtable alternative, with a self-hosted deployment option and an AI field that can run against local or cloud AI models.

Does Baserow support local AI models like Ollama?

Yes, on self-hosted instances with a Premium license or higher. The AI field can be configured to call a local Ollama server instead of, or alongside, OpenAI, Anthropic, Mistral, or OpenRouter.

Is Baserow free?

The core "Baserow Open Source Edition" is free and MIT-licensed. The AI field, Kuma AI assistant, and other Premium-tier features require a paid plan — $10/user/month billed yearly on Baserow Cloud, or a separately purchased license for self-hosted Premium/Enterprise.

Does self-hosting Baserow make the AI field free?

No. Self-hosting avoids Baserow Cloud subscription fees for hosting, but the AI field still requires a purchased Premium or Enterprise license key even on a self-hosted instance.

How do I install Baserow for self-hosting?

Per Baserow's own documentation, the simplest method is Docker: docker run -v baserow_data:/baserow/data -p 80:80 -p 443:443 baserow/baserow:2.3.4. Docker Compose, Helm/Kubernetes, and Cloudron are also officially supported — verify the current recommended Docker tag on Docker Hub before deploying.

Is there a Baserow desktop app?

No. Baserow is a web application only. Its own team has described a native desktop app as a long-considered but not actively developed feature request, per the Baserow community forum.

What can the AI field actually do?

It can generate text (summaries, descriptions, drafts), classify a row into predefined categories, or extract values from referenced documents and images (PDF, Word, Markdown, PNG, up to 10 MB), using whichever AI provider is configured for that field.

What license is Baserow under?

The core "Baserow Open Source Edition" is MIT-licensed, per the repository's own LICENSE file. The premium/ and enterprise/ directories in the same repository ship under their own separate, non-MIT license files, and the docs/ directory is under Creative Commons CC BY-SA 4.0.

How many GitHub stars does Baserow have?

5,933 stars as of this review (github.com/baserow/baserow), verified via GitHub API.

Has PromptQuorum independently tested Baserow's claims?

This review is based on Baserow's own site, documentation, GitHub repository, and community forum, rather than hands-on load-testing or compliance auditing by PromptQuorum.

Sources

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