Baserow vs NocoDB 2026: Open-Source Airtable

TL;DR

Baserow and NocoDB are both serious open-source Airtable alternatives you can self-host for free. The defining difference: NocoDB connects to your existing databases (PostgreSQL, MySQL, SQLite, MariaDB) and gives you a spreadsheet interface on top of them — your data stays in your database. Baserow creates its own database (Django + PostgreSQL) and is purpose-built as a collaborative table tool with a polished UI and plugin system. If you have existing database infrastructure, NocoDB wins on data ownership. If you're starting fresh and want the closest Airtable replacement UX, Baserow is the stronger choice.

Quick Comparison

	Baserow	NocoDB
License	MIT	AGPL v3
Backend	Django + PostgreSQL	Node.js (connects to any SQL DB)
Data storage	Own PostgreSQL database	Your existing DB (Postgres/MySQL/SQLite)
Self-host	Docker (multi-service)	Docker (single container)
Cloud free tier	3,000 rows, unlimited tables	5,000 rows
Cloud paid	$5/user/mo (Premium)	$9/user/mo (Team)
REST API	Auto-generated, OpenAPI 3.0	Auto-generated + GraphQL
Automations	Row event triggers, webhook actions	Row triggers, Slack/webhook/email
Plugin system	Yes (custom field types, views)	Limited
Formula engine	Excel-like syntax	SQL expression-based

Data Architecture: The Core Distinction

This is the most important architectural difference and often the decision-maker.

NocoDB wraps your existing databases. You connect it to a PostgreSQL, MySQL, SQLite, or MariaDB database — one you already own — and NocoDB generates a spreadsheet UI on top of the existing schema. Tables in your database become tables in NocoDB. Columns become fields. Your data never leaves your infrastructure, your ORM models still work, and your existing database tooling (migrations, backups, monitoring) continues uninterrupted. For engineering teams that already have a Postgres database and want to give non-technical colleagues a UI to view and edit data without writing SQL, NocoDB is purpose-built for this.

Baserow manages its own PostgreSQL database. When you self-host Baserow, it manages its own Postgres instance internally. You get a clean, purpose-built database with Airtable-like fields (text, number, date, file attachment, link to table, formula, rollup, lookup), but your data isn't stored in your existing infrastructure — it's in Baserow's managed schema. This is simpler to set up for new projects but requires a separate data migration path if you need data alongside other services.

The practical implication: teams with existing relational databases that want a no-code UI layer should go NocoDB without much debate. Teams starting greenfield projects with non-technical stakeholders who need to manage data collaboratively will find Baserow's all-in-one experience cleaner and more polished.

Feature Depth: Views, Fields, and Collaboration

Both tools cover the Airtable feature baseline: grid, gallery, kanban, calendar, and form views; rich field types; row permissions; and team collaboration. The differences emerge in the details.

Baserow's field system is comprehensive and Excel-like in its formulas. Fields include single/multi-select, file attachments, rating, URL, phone, count of linked rows, lookup, rollup, and formula. Baserow's formula editor is accessible to non-developers — it uses Excel-style function names rather than SQL syntax. The plugin system is Baserow's unique advantage: developers can build custom field types and view plugins that extend the platform, making it extensible in ways NocoDB isn't.

NocoDB's formula engine is SQL-based under the hood. Technical users can write SQL expressions as formulas, which is more powerful but less accessible to non-developers. Where NocoDB stands out on features is field-level permissions — you can hide or lock specific columns per role, which Baserow doesn't support without workarounds. NocoDB also added a map view using Mapbox for geospatial data, and its GraphQL API is a meaningful differentiator for developer teams that prefer graph-based queries over REST.

On collaboration, both offer real-time editing, row comments, and role-based access control. Baserow's @mentions and audit log (on the Advanced tier) are slightly more mature. NocoDB's granular field-level permissions make it more suitable for scenarios where different user roles need access to different subsets of columns in the same table.

Self-Hosting Experience

Both tools are Docker-first with actively maintained official images.

NocoDB is the easier self-hosting target — a single Docker container is sufficient for a working deployment. It can even run with SQLite as its metadata store for zero-dependency setups, making it extremely accessible for quick deployments or dev environments.

docker run -d \
  --name nocodb \
  -e NC_DB="pg://host:5432?u=user&p=password&d=dbname" \
  -p 8080:8080 \
  nocodb/nocodb:latest

Baserow requires more services — backend, frontend, Celery worker, and database — which translates to a more involved docker-compose setup. The documentation is thorough and the configuration is well-documented, but it's more infrastructure to maintain than NocoDB's single container.

docker run -d \
  --name baserow \
  -e SECRET_KEY=yoursecretkey \
  -v baserow_data:/baserow/data \
  -p 80:80 \
  baserow/baserow:latest

Baserow does offer a single all-in-one image (shown above) that bundles all services, which simplifies smaller deployments. For production, both tools recommend external PostgreSQL and a reverse proxy.

Resource footprint: NocoDB runs comfortably on 512 MB RAM; Baserow needs 2 GB minimum for its multi-service stack. For cost-constrained VPS hosting, NocoDB is the lighter option.

Both projects are actively maintained on GitHub. Baserow releases on a regular monthly cadence; NocoDB has a large open-source contributor community with frequent releases. NocoDB passed 50 million Docker pulls in 2025, indicating strong community adoption and deployment prevalence.

API and Developer Integration

Both Baserow and NocoDB expose REST APIs for all CRUD operations, making them viable backends for lightweight applications where non-developers manage data through the UI while developers integrate the data programmatically.

Baserow's API is auto-generated from your table schema and documented at /api/docs/ on any Baserow instance (OpenAPI 3.0 spec). Authentication uses either JWT tokens or a simpler API token. Every table gets its own set of endpoints: list rows with filtering/sorting/pagination, create row, update row, delete row, and bulk operations. The API documentation is polished and includes example requests, making it accessible for developers who aren't building full-time. Baserow also supports websocket connections for real-time updates — useful if you're building a live dashboard or a collaborative editing interface on top of the data.

NocoDB's API auto-generates both REST and GraphQL endpoints from your connected database schema. The GraphQL support is a meaningful differentiator: for applications that need to query multiple related tables efficiently in a single request, GraphQL reduces network round-trips compared to sequential REST calls. NocoDB also provides a Swagger UI for REST API exploration and token-based authentication with granular API key scoping — you can create tokens that only have read access, or tokens scoped to specific bases. For developer teams building internal tools on top of NocoDB, the GraphQL layer and fine-grained token control are genuinely useful.

Both tools rate-limit their APIs on cloud plans; self-hosted instances have no API rate limits by default — another advantage for developer teams building data-intensive integrations.

Pricing: Cloud vs. Self-Hosted Economics

For teams evaluating cloud hosting, pricing differs meaningfully between the two tools.

Baserow Cloud:

• Free: 1 workspace, 3,000 rows per table, unlimited tables and collaborators
• Premium ($5/user/mo): Unlimited rows, additional views, row comments, premium field types
• Advanced ($10/user/mo): SAML SSO, audit log, priority support
• Self-hosted Community: Fully free, all features equivalent to Premium tier

NocoDB Cloud:

• Free: 1 workspace, 5,000 rows, 1 external database connection
• Team ($9/user/mo): Unlimited rows, multiple external database connections, 10,000 automation runs/month
• Business ($19/user/mo): SSO, audit logs, advanced security controls
• Self-hosted: Fully free, all features including unlimited automations

The self-hosted economics strongly favor both tools over Airtable — Airtable Business at $20/user/month compares to $0 for either Baserow or NocoDB self-hosted on your own infrastructure. For a 10-person team, the annual savings over Airtable Business are $2,400. The infrastructure cost of running either tool (a basic VPS at $10–20/month) pays for itself within the first month.

For teams on cloud plans, Baserow is cheaper per user ($5 vs. $9) but NocoDB's free tier is more generous (5,000 vs. 3,000 rows). Teams with larger data volumes on a budget get more runway from NocoDB's free tier before needing to upgrade.

When to Use Which

Choose NocoDB when:

• You already have PostgreSQL, MySQL, or SQLite databases and want a no-code UI on top
• Your engineering team needs the data to remain in your own database schema
• You want field-level column permissions across different user roles
• GraphQL API support is a requirement for your integration layer
• Minimal Docker footprint (512 MB RAM, single container) is a priority

Choose Baserow when:

• You're starting a new project with no existing database
• Non-technical users need to manage and input data collaboratively
• You want an Excel-like formula experience accessible to non-developers
• A plugin ecosystem for extending field types and views matters
• MIT license is required (NocoDB is AGPL v3, which has stronger copyleft requirements)

Both tools are strong Airtable replacements that eliminate significant recurring costs — Airtable Business runs $20+/user/month. See our Airtable alternatives roundup 2026 for a broader comparison including Notion and Coda. For the workflow automation layer that connects to either tool, Zapier alternatives 2026 covers the integration options. And if your team needs internal tooling built on the same data sources, Retool vs Appsmith vs Budibase 2026 compares the low-code internal tools landscape.

The decision usually comes down to one question: does your data already live in a relational database? If yes, NocoDB. If not, Baserow.