Project Management

Migrate your Airtable data

A spreadsheet-database hybrid that non-developers use to build flexible relational apps without code. Teams adopt it for its low floor and relational model, then hit its ceiling when data volume, pricing, and automation caps force a rethink.

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In its favor

Why people choose Airtable

The signal that keeps Airtable on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Non-developers can build working relational systems without code—once they understand linked records, lookups, and formulas, the platform feels like a real database.

The flexible base structure adapts to nearly any workflow: CRM, project tracking, content planning, HR pipelines, and inventory management all fit inside the same tool.

Multiple view types (grid, kanban, calendar, gallery, Gantt) let different team members consume the same data in their preferred format without duplication.

Pre-built templates for common use cases reduce initial setup time and let teams validate the tool before committing to a custom schema design.

Integrations with Zapier, Make.com, Slack, and Google Workspace extend automation without requiring developer resources.

Per-editor pricing scales poorly—organizations with many view-only users must either pay for Creator seats or accept that collaborators cannot access the data they need to do their jobs.

Performance degrades at 50,000+ records per table despite plan limits reaching 125,000–500,000 on higher tiers, making large datasets feel slow and unresponsive.

Data output is a recurring pain point—exporting to CSV flattens linked records, formulas lose their definitions, and attachment files require a separate download step.

Billing changes have surprised long-term customers, including sudden plan restructuring and opaque per-user calculations that do not match initial expectations.

The platform straddles spreadsheet and database without fully committing to either—complex teams eventually outgrow it and move to purpose-built tools.

Reasons to switch

Why people leave Airtable

The recurring reasons buyers give for replacing Airtable. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Airtable fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Fully flexible schema—no predefined object types means any data model can be built from scratch.Multiple simultaneous view types let diverse users consume the same base in their preferred format.Generous free tier with up to 1,000 records per base and 5 editor seats for initial evaluation.Linked records and lookup/rollup fields enable relational data modeling without SQL.Rich template library covering CRM, project management, content planning, and HR use cases.

Weaknesses

5 req/s API rate limit is a hard cap across all tiers, including Enterprise—no way to purchase higher throughput.Performance degrades at 50,000–100,000 records per table despite higher plan limits, per user reports.Formula fields, interfaces, and automations have no export path and are lost in any standard migration out.Per-editor pricing combined with record and automation run caps makes the total cost hard to predict as teams grow.Linked record exports flatten to text or require complex denormalization at the destination.

Where it works

Small to mid-sized teams (under 50 people) that need relational database capabilities without requiring SQL knowledge or developer resources.Organizations with multiple stakeholder roles requiring different data views—kanban for marketers, grid for ops, calendar for schedulers—on the same dataset.Non-technical teams building internal tools for CRM, HR tracking, content planning, or inventory management where the flexible schema reduces upfront modeling commitment.Teams already embedded in the Zapier/Make.com ecosystem who need to connect a structured data layer to external tools without custom API work.Solo operators or small agencies evaluating a workflow tool before investing in a purpose-built system, using the free tier to validate fit.

Where it struggles

Data-intensive workloads exceeding 50,000–100,000 records per table—performance degrades despite plan limits allowing higher record counts.Organizations with many read-only or viewer collaborators forced into per-editor seat pricing, making broad internal distribution economically unjustifiable.Integrations requiring high API throughput—the 5 requests per second per base cap applies universally including Enterprise and cannot be increased.Environments needing compliance controls (audit logs, SCIM provisioning, federated identity) that require Business or Enterprise plans with significant cost jumps.Teams with complex, evolving base structures—poor schema design compounds quickly and manually migrating changes between environments lacks tooling.

Pricing tiers

Airtable pricing overview

Airtable charges per editor seat (viewers and commenters are free on all plans). Record count, automation runs, and attachment storage are all tier-gated. The most significant cost jump is between Team and Business, where you gain admin controls, SAML SSO, unlimited API, and two-way sync. Enterprise Scale adds compliance features and custom limits at a negotiated price.

Free

Tier 1 of 4

$0

What's included

1,000 records per base, 5 editor seats100 automation runs/month, 1 GB attachment storage/base2 weeks revision history, no admin panel1,000 API calls per workspace/month (very limited for integrations)

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Pricing is informational. FlitStack AI does not bill on Airtable's schedule — see our quote-based pricing →

What gets migrated

Airtable object support

Object-by-object support for Airtable migrations. Per-pair details surface during scoping.

Bases

Fully supported

Bases are the top-level container in Airtable. Each base has its own API endpoint and rate limit of 5 req/s. We export bases one at a time, preserving the base name and settings. Base-level permissions and sharing links are not carried forward automatically in a migration.

Tables

Fully supported

Tables map directly to destination objects or flat tables. We extract the full table list from the base schema and create matching destination tables before populating records. Table-level permissions do not transfer and must be reconfigured at the destination.

Records

Fully supported

Records are the core data unit. We paginate through them using Airtable's offset-based pagination (100 records per page), respecting the 5 req/s rate limit per base. Deleted or archived records require an explicit include flag since they are excluded by default.

Fields (standard types)

Fully supported

Standard field types—text, number, currency, date, checkbox, single/multi select, URL, email, phone, rating, rollup, count, and lookup—map cleanly to their destination equivalents. We preserve field configuration including required flags and default values.

Fields (attachment, collaborator, formula)

Mapping required

Attachment fields export as URL strings pointing to Airtable's CDN, not as files. We flag these and recommend a separate attachment bundle export. Collaborator fields export as user email/name pairs and require user provisioning at the destination. Formula fields lose their definitions on export and land as plain text values.

Views

Mapping required

Views (Grid, Kanban, Calendar, Gallery, Timeline, Gantt) are Airtable's presentation layer and do not exist in most destination platforms. We export view filters, sorts, groupings, and column order as metadata notes. Users must rebuild views from scratch at the destination.

Workspaces

Mapping required

Workspaces group bases and set high-level permission boundaries. Airtable's workspace model varies by plan. We map Workspace structure to the closest organizational unit available at the destination, typically folders or projects, noting that nested workspace hierarchies flatten in most migrations.

Automations

Not in this platform

Airtable automations (triggers and actions built inside Airtable) are not accessible via the public API. We do not migrate automations. Teams should audit their automations before migration and re-implement critical ones using the destination platform's native automation tools or an integration layer like Zapier.

Interfaces and Portals

Not in this platform

Airtable Interfaces and Portals are front-end presentation layers with no exportable data through the API. These are discarded in any migration out of Airtable. Client-facing portals must be rebuilt in the destination tool or a dedicated frontend platform.

Attachments

Mapping required

Attachment files are stored on Airtable's CDN and referenced by signed URLs. During export, we extract all attachment URLs and bundle them for download. Files must be re-uploaded to the destination's storage. We flag any attachment that exceeds 50 MB (Airtable's per-file limit) for special handling.

Linked records

Mapping required

Linked records represent relationships between tables and export as arrays of record IDs. When the destination platform does not have a native linked-record concept, we denormalize these into stored ID fields or comma-separated text. We reconstruct foreign-key relationships in the destination where the data model supports it.

Custom fields

Fully supported

Custom fields are the norm in Airtable, not the exception. Every field beyond the standard set is user-defined. We preserve field names, types, options (for select fields), and descriptions. Cross-base custom fields require individual field-level mapping.

Gotchas

What to watch for in Airtable migrations

Issues we've hit on past Airtable migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

Hard API rate limit of 5 req/s per base applies at every tier

High

Formula fields export as static text values, not as formulas

High

Automations and Interfaces are not accessible via the API

Medium

Record count limits and row-level billing create scope surprises

Medium

Attachment files export as CDN URLs, not as downloadable files

How a Airtable migration works

Four steps, Airtable-specific

Connect

Personal access tokens (scoped) or OAuth 2.0 for end-user apps into Airtable. Scopes limited to read-only on the data we move.

Map

We translate Airtable-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Airtable quirks before production.

Migrate

Full migration with Airtable rate-limit handling. Rollback available throughout.

FAQ

Airtable migration FAQ

Answers to the questions buyers ask most during Airtable migration scoping. Not seeing yours? Book a call.

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Most Airtable migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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