NocoDB vs Baserow vs Grist (2026)

Airtable's Cost Problem

Airtable's Team plan costs $20/user/month ($240/user/year). Business is $45/user/month ($540/user/year). For a 10-person team, Business runs $5,400/year.

Airtable fills a gap between spreadsheets and databases — you get tables with types, views, formulas, and collaboration, without needing database expertise. But the pricing scales quickly.

Three open source alternatives cover this space: NocoDB as a spreadsheet UI over any database, Baserow as the cleanest collaborative database builder, and Grist as the most spreadsheet-like experience with formula power.

TL;DR

• NocoDB (62K+ stars): Best for developers who want a GUI on top of an existing database. Connect MySQL/PostgreSQL and get an Airtable-style interface immediately.
• Baserow (GitLab hosted, 1K+ GitLab stars): Best for teams building collaborative databases and apps without existing database infrastructure. Cleanest UI, unlimited rows when self-hosted.
• Grist (10K+ stars): Best for spreadsheet-familiar teams. Excel/Google Sheets feel with relational database power and Python formulas.

Quick Comparison

Feature	NocoDB	Baserow	Grist
GitHub Stars	62K+	1K+ (GitLab)	10K+
Connect existing DB	Yes (core feature)	No	No
Unlimited rows (self-hosted)	Yes	Yes	Yes
Python formulas	No	No	Yes
Custom views	Yes	Yes	Yes
Kanban view	Yes	Yes	No
Gallery view	Yes	Yes	No
Calendar view	Yes	Yes	No
API	Yes	Yes	Yes
Automations	Yes	Yes	Limited
License	AGPL-3.0	MIT	Apache 2.0

NocoDB — Best for Developers with Existing Databases

NocoDB (62K+ GitHub stars) solves a specific problem: you have a MySQL, PostgreSQL, SQLite, or other SQL database, and you want to give non-technical team members a spreadsheet-like interface to view and edit the data.

Connect NocoDB to your existing database, and it instantly generates a user-friendly interface for every table — no migration required.

What Makes It Stand Out

Connect to existing databases: This is NocoDB's defining feature. Instead of moving your data to a new tool, NocoDB adds a visual layer on top of what you already have:

• MySQL
• PostgreSQL
• SQLite
• MariaDB
• Microsoft SQL Server

Your data stays in your existing database. NocoDB just provides the interface.

Multiple views per table: Create Grid, Gallery, Kanban, Calendar, and Form views for the same underlying data. Different team members use the view that fits their workflow.

Formulas: Add calculated fields with NocoDB's formula engine.

Automations: Trigger webhooks, send emails, or run scripts when records are created or updated.

API: Every table gets an auto-generated REST API with OpenAPI spec documentation.

Team collaboration: Multiple users with granular permissions (viewer, commenter, editor, creator, owner) per base or table.

Self-Hosting

docker run -d \
  --name nocodb \
  -p 8080:8080 \
  -v /opt/nocodb:/usr/app/data \
  nocodb/nocodb:latest

Single container, SQLite by default. Connect to external PostgreSQL for production:

docker run -d \
  -e DB_QUERY_LIMIT_DEFAULT=25 \
  -e NC_DB="pg://host:5432?u=user&p=password&d=database" \
  nocodb/nocodb:latest

Best for: Development teams who want to give non-technical stakeholders a GUI to view/edit data in their existing database.

Baserow — Best for Team Collaborative Databases

Baserow provides the most polished and clean collaborative database experience. It's designed from the ground up as a team tool — not as a wrapper for existing databases, but as a standalone database builder.

What Makes It Stand Out

Clean interface: Baserow has the most polished UI of the three tools. The spreadsheet-like interface feels professional and is quick for teams to adopt.

Unlimited rows: Self-hosted Baserow has no row limits. Airtable's free tier limits 1,000 records per base; Baserow self-hosted doesn't cap you.

Field types: 20+ field types including files, URLs, formulas, lookups, rollups, and links between tables.

Views: Grid, Gallery, Kanban, Calendar, and Form views. The Form view creates embeddable forms from table fields — collect data directly into your database.

Application builder: A newer feature in Baserow that lets you build simple data entry applications with custom layouts on top of your databases.

Workflows: Conditional automation when records are created or changed.

GitLab-hosted: Baserow's code is on GitLab (gitlab.com/baserow/baserow) rather than GitHub, which is why it doesn't appear in GitHub star counts.

Self-Hosting

docker run -d \
  --name baserow \
  -p 80:80 \
  -p 443:443 \
  -v baserow_data:/baserow/data \
  baserow/baserow:latest

Single container (includes all services internally). One of the easiest self-hosting setups — genuinely single-container with no external dependencies.

Premium features: Some Baserow features (premium row coloring, advanced export, etc.) require a license. The Community Edition is comprehensive for most teams.

Best for: Teams building collaborative databases from scratch who want the cleanest UI and don't need to connect to existing databases.

Grist — Best for Spreadsheet-Familiar Teams

Grist (10K+ GitHub stars) is the most spreadsheet-like of the three. If your team thinks in Excel or Google Sheets — named columns, formulas everywhere, keyboard shortcuts — Grist has the lowest adoption friction.

What Makes It Stand Out

Familiar spreadsheet UX: Tab-based table navigation, Excel-like keyboard shortcuts, formula bar, and formula syntax that Google Sheets users already know.

Python formulas: Grist formulas run Python, enabling complex calculations that Excel's formula language can't express. Import Python libraries, run data transformations, call APIs.

Linked views: The key Grist concept that goes beyond spreadsheets — link a detail view to a list view so selecting a row in one table filters data in another. Build dashboard-like layouts without coding.

Custom widgets: Embed custom JavaScript widgets that interact with your table data. Build charts, maps, and custom visualizations.

Access rules: Column-level and row-level access control. Different users see different columns or rows based on their identity.

Version history: Row-level history — see what changed, when, and by whom.

Self-Hosting

docker run -p 8484:8484 \
  -v grist_data:/persist \
  -it gristlabs/grist

Single container. Simple deployment.

GRIST_DOMAIN configuration: For team access, configure the domain and authentication.

Best for: Analysts and spreadsheet-heavy teams who want to transition from Excel/Sheets to a database without abandoning familiar patterns.

Real-World Use Cases

Project Tracking

Winner: Baserow (cleanest kanban + calendar), NocoDB (if you have existing data)

Inventory Management

Winner: NocoDB (connect to your inventory DB), Baserow (start from scratch)

Data Analysis and Reports

Winner: Grist (Python formulas, linked views for dashboards)

CRM-lite

Winner: Baserow (clean UI for non-technical salespeople), NocoDB (if data already in DB)

Developer Prototyping

Winner: NocoDB (instant interface on any SQL database)

Cost Comparison

Airtable Annual Costs (10 Users)

Plan	Monthly	Annual
Team	$20/user	$2,400
Business	$45/user	$5,400

Self-Hosted

Tool	Server	Annual
NocoDB (Hetzner CPX21)	$6.50/mo	$78
Baserow (Hetzner CPX21)	$6.50/mo	$78
Grist (Hetzner CAX11)	$4/mo	$48

Which One Should You Choose?

You have existing databases to expose → NocoDB

You want the best team collaboration UX → Baserow

Your team lives in spreadsheets → Grist

You need Python formula power → Grist

You need unlimited rows from a single container → Baserow

Spreadsheet-Database Hybrid: What "No-Code Database" Actually Means

The category "no-code database" is genuinely novel — it didn't exist as a coherent product category before Airtable popularized it in 2017. Understanding what it actually provides (and doesn't provide) helps set appropriate expectations.

Traditional databases (PostgreSQL, MySQL) store and retrieve data efficiently but require SQL knowledge to interact with. The data is not directly accessible to non-technical users — someone must build a query interface, a report, or an application on top of the database. Traditional spreadsheets (Excel, Google Sheets) are accessible to everyone but lack the structured data model, relationships between tables, and scalability that databases provide. The no-code database occupies the space between: structured, relational data with a spreadsheet-like interface that non-technical users can navigate without SQL.

The "no-code" label means different things in different tools. NocoDB is genuinely no-code for data interaction — connecting to an existing PostgreSQL database and browsing its tables requires zero coding. But building useful views and automations benefits from understanding NocoDB's formula syntax. Baserow is no-code for table creation and basic form building. Grist includes Python for custom formulas, making it more "low-code" than the other two. None of these tools are no-code for their deployment — self-hosting requires Docker and basic Linux knowledge.

The relationship model is where these tools earn the "database" label. Unlike a spreadsheet where relationships are manual (a cell references another cell by coordinate), no-code databases have proper relational fields — a record in a "Customers" table can link to multiple records in an "Orders" table, and both tables maintain referential integrity. This is what enables Airtable/NocoDB/Baserow to replace Access databases and simple CRMs: the data stays consistent as you navigate related records.

Migration from Airtable to NocoDB/Baserow

Airtable migration is one of the most common reasons teams evaluate NocoDB and Baserow. Airtable's pricing changes (removal of the free tier for teams, price increases on paid plans) have driven significant migration interest.

Airtable's export capabilities are limited by design — the platform wants to minimize data portability. The primary export format is CSV (per table, per view), which exports flat records without preserving link fields. Attachment files require separate download. The link-between-tables relationship structure does not survive CSV export — you get flat data with relationship IDs that need to be reconnected in the target tool.

NocoDB provides a direct Airtable import feature (Settings → Import → Airtable) that accepts your Airtable API key and workspace ID. The importer reads your Airtable schema via API and recreates tables, fields, and views in NocoDB. Link fields are reconnected based on the relationship data. This approach preserves structure better than manual CSV import, but requires your Airtable account to have API access (paid plans). After import, validate link fields and formula fields — Airtable's formula syntax differs from NocoDB's, requiring manual rewriting of complex formulas.

Baserow's import is primarily CSV-based. The importer creates tables from CSV files and infers field types from the data. After initial import, you manually configure field types (text to phone number, text to URL, ID columns to link fields), which is labor-intensive for bases with many complex field types. Baserow compensates for the more manual import with a cleaner resulting schema — because you're explicitly configuring each field, the structure reflects deliberate decisions rather than potentially incorrect automatic inference. Grist's migration path is similar to Baserow's CSV approach; its Python formula engine also requires translating Airtable formulas manually.

For a self-hostable Airtable alternative with a more modern interface, see How to Self-Host Teable: Modern Airtable Alternative 2026. For the broader Airtable alternative landscape, see Best Open Source Alternatives to Airtable 2026. For overlapping use cases in the Notion/document-database space, see Best Open Source Alternatives to Notion 2026.

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