The trick Airtable pulled off was making a database feel like a spreadsheet: typed columns, linked records, and a grid that flips into kanban, calendar, or gallery without anyone designing a schema. The bill is where it stops being comfortable, because pricing is per seat and the plan tiers gate record counts and automation runs, so a base that began as a clever side project climbs every time you add a collaborator or cross a row threshold. The open source alternatives below rebuild that spreadsheet-database hybrid on infrastructure you run. Your records sit in a real database you can query and back up directly, seats stop being a meter, and your row count no longer sets your price.
NocoDB turns an existing database into a spreadsheet-style workspace for building databases online. Teams create, read, update, and organize records across grid, gallery, form, kanban, and calendar views without writing a custom app.
Budibase is an open-source operations platform for building agents, apps, and automations that run internal business processes. It is aimed at handling requests, approvals, issues, and workflow work without stitching together multiple tools.
Teable is a spreadsheet-like interface for creating database applications. It is built for teams that want to manage data, collaborate in real time, and turn tables into apps without starting from a traditional database UI.
APITable is an open-source low-code platform for building collaborative apps around a visual database and spreadsheet interface. It is built for teams that need shared data entry, app-like workflows, and an API-first way to organize tables, forms, dashboards, and permissions.
ILLA Builder is an open source low-code platform for developers building internal tools such as dashboards, CRUD apps, admin panels, CRM, and CMS tools. It helps teams assemble business apps from components and actions instead of writing every screen and data interaction from scratch.
Grist is a modern relational spreadsheet for organizing data in tables that behave like spreadsheets but keep database-like columns and references. It is meant for people who need spreadsheet workflows with more structure for records, formulas, and shared data.
Baserow is an open source platform for building databases, applications, automations, and AI agents without code. It combines a spreadsheet-style interface with database structure so teams can organize data, build internal tools, and create custom dashboards. It runs as a cloud service or self-hosted for full data control.
undb is an open source no-code database that doubles as a Backend as a Service (BaaS). Built on SQLite, it ships a UI for table management and follows a private, local-first approach for managing your own data.
Corteza is a low-code platform for building CRM, business process, and other structured data apps. It ships with a CRM application out of the box and lets teams iterate on the data model and screens without writing a full application from scratch.
Saltcorn is an open source no-code database application builder for building web and mobile database applications without writing code. It is meant for people who want to model data and create apps without assembling a custom stack from scratch.
Part-DB is an open source inventory management system for electronic components. It runs on a web server and is used from any browser without extra software, giving hobbyists, maker spaces, small companies, and universities one place to track parts, locations, prices, and datasheets.
Bordful is open-source job board software built with Next.js, Tailwind CSS, and Airtable. It lets you stand up a branded job board with listings, search, and filters, while managing jobs through an Airtable base that acts as the admin and content store.
Pick by whether you need a spreadsheet, a database, or the backend for an internal tool.
Closest spreadsheet-database match: Teable Teable gives you a spreadsheet-like interface over a real PostgreSQL database, with Grid, Form, Kanban, Gallery, and Calendar views, formulas, filtering, and real-time collaboration. It exposes SQL query access and supports import and export, so the base stays queryable and portable. The Community Edition is free to self-host under the AGPL, with a hosted option available too.
For spreadsheet power users: Grist Grist is a relational spreadsheet that runs full Python formulas alongside Excel functions, with charts, card views, and a calendar widget. Each document is stored as a portable SQLite file, and it can run as a server, a local desktop app, or fully in-browser. A REST API and webhooks connect it to other systems.
For building internal tools: Baserow Baserow pairs a spreadsheet-database hybrid with an application builder that publishes apps and portals on your own domain, plus automations and dashboards. It is headless and API-first on PostgreSQL, and non-premium features are MIT-licensed with no storage limits when self-hosted, which fits teams using the base as an app backend.
Spreadsheet UI over your own database: NocoDB NocoDB turns a new or existing SQLite or PostgreSQL database into a spreadsheet-style workspace, with grid, gallery, form, kanban, and calendar views plus links, lookups, rollups, and formulas. Role-based access controls sharing, and REST APIs and an SDK expose the data. Because it can sit on a database you already run, your records stay in a store you query and back up directly.
The question that decides an Airtable migration is which of its three jobs you actually depend on: a relational database, a spreadsheet-style work surface for non-technical users, or a lightweight builder for internal apps and forms. Airtable does all three at once, so a tool that stores relational data well can still feel wrong if your team cannot create views, edit fields, or filter records without help. NocoDB, Teable, Baserow, and APITable lean toward the full app-and-database experience, while Grist and undb emphasize a closer spreadsheet feel with real formulas.
Weigh the details that carry your daily work. Check how each tool handles linked records, field types, forms, and calendar or kanban views, and where permissions are defined: workspace, base, table, view, or row. Grist runs Python formulas and stores each document as a portable SQLite file, which suits people who want spreadsheet logic they can reason about and move. Teable and Baserow are built on PostgreSQL with REST APIs, better fits when the base is really the backend for an internal tool. APITable adds row and column permissions and a query language for teams that need finer access control.
Treat the move as rebuilding an application, not importing a file. Export each table as CSV or pull records through the Airtable API, and expect plain text, numbers, dates, selects, and checkboxes to transfer while relationships, formulas, rollups, attachments, automations, and permissions need reconstruction. Preserve original record IDs in a staging field so links can be remapped after import, load parent tables first, then rebuild the connections. Run one real base end to end and compare record counts before freezing changes for the final cutover.
It depends on how your team uses Airtable. If people mostly edit rows, filter views, and relate records, a spreadsheet-style database like Teable or Grist maps closely. If Airtable is powering forms, approval flows, or internal apps, a broader platform like Baserow, with its application builder, fits better. Start by mapping your heaviest base rather than your simplest one, because that is where the gaps show up.
A CSV export does not preserve Airtable's relational structure in a way another system can reconstruct automatically; linked records often appear as displayed values rather than durable foreign keys. For a reliable migration, export or fetch the original record IDs, keep them in staging fields, import parent tables first, then rebuild links using those IDs. Test many-to-many relationships specifically before committing to the cutover.
Usually not. Formula syntax, available functions, date handling, lookup behavior, and rollup semantics differ between tools, and an exported CSV contains computed results, not reusable logic. Document your formulas in Airtable before migrating, then rebuild them in the target and compare outputs on real records. Grist's Python formulas are powerful but are a rewrite, not a paste, so pay attention to blanks, time zones, and conditional expressions.
Inventory each automation by trigger, conditions, actions, credentials, and failure behavior first. Some rebuild natively in tools that ship automation, such as Baserow or APITable, which connects to engines like n8n and Zapier. Others belong in an external workflow engine, a scheduled script, or your application code. Do not migrate automations blindly, since many bases accumulate old rules that still fire but no longer have a clear owner.
Attachments need deliberate handling. A table export may include attachment links or metadata, but you should not treat those links as a permanent archive. Use the API or a controlled export to download the files, store them in your chosen object storage or file system, then reattach them to imported records. Check filename collisions, size limits, permissions, and whether previews need regenerating in the new tool before you rely on them.
Sometimes, but this is where details bite. Airtable users may lean on workspace roles, base sharing, read-only links, form access, interface access, and view-specific collaboration. A replacement might offer simpler role-based permissions or stronger database-level controls instead. APITable's row and column permissions help, but before migrating, list every shared view, external collaborator, and public form so you do not accidentally broaden access.
Not always self-host. Several of these tools offer hosted editions from their maintainers alongside the open source release: Teable, APITable, Grist, and Baserow all have cloud options, while any of them can run on your own server. Self-hosting gives you control over network access, backups, and data location but makes uptime your job, so a managed open source plan is often the more practical first step for a small team.
