Airtable vs Make
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentAirtable compared with Make
Make sits between Zapier and n8n on price and complexity, with a visual scenario builder and operation-based billing. Its Airtable module set is thorough, including search, upsert, and bulk operations, so it is a natural pairing when a workflow is too branching for Airtable's own automations but you do not want to self-host. As with the other engines, the question is not Make or Airtable but whether Airtable's bundled automations already cover the chain.
Choose Airtable if
Small go-to-market and operations teams that need a shared, structured, permissioned place to hold pipeline data between automated steps, with a usable review interface on top and enough API surface to sit in the middle of a custom prospecting or enrichment workflow.
Choose Make if
Visually-minded builders and cost-conscious teams who need real workflow logic, branching, iteration, error handling, without writing code, especially agencies and SMBs whose per-month automation budget is closer to $20 than $200.
Side by side
13 attributes| Attribute | Airtable | Make |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free for up to 5 editors and 1,000 records per base; paid plans from $20 per seat per month billed annually (free plan available) | $9/mo (Core, 10,000 operations, annual billing) (free plan available) |
| Pricing model | Per-editor seat subscription, billed monthly or annually, with plan tiers that gate records per base, attachment storage, automation runs, revision history depth, sync capability, AI credits, and administrative controls. Only collaborators with edit or creator permission are billed; commenters, read-only viewers, and form submitters are free. AI usage is metered in credits bundled per seat. | Freemium with operations-based metering: every module execution consumes one operation from a monthly allowance. Tiers scale the allowance, minimum scheduling interval, and team features; operations can be topped up, and unused allowance policies vary by tier. Prices quoted for annual billing; monthly billing runs higher. |
| Free plan | Unlimited bases, 1,000 records per base, 1 GB attachments per base, 100 automation runs per month, up to 5 editors, and two weeks of revision history | 1,000 operations/month, two active scenarios, 15-minute minimum interval |
| Free trial | 14-day trial of the Team plan, plus a permanent free plan | Free plan serves as the trial; paid features preview via plan upgrades |
| Best for | Small go-to-market and operations teams that need a shared, structured, permissioned place to hold pipeline data between automated steps, with a usable review interface on top and enough API surface to sit in the middle of a custom prospecting or enrichment workflow. | Visually-minded builders and cost-conscious teams who need real workflow logic, branching, iteration, error handling, without writing code, especially agencies and SMBs whose per-month automation budget is closer to $20 than $200. |
| Setup time | Minutes to a working base, an afternoon to a real one. Importing a spreadsheet and setting field types is immediate; designing the table relationships properly is the part that takes thought, and getting it wrong is the most common reason a base becomes unmanageable six months later. | Under an hour to a first live scenario for anyone who has used any automation tool; the template library shortcuts common patterns. Complex scenarios with error handling are a day of iterative building, made faster by per-module test runs. |
| Learning curve | Low to start, moderate to do well. Anyone comfortable with a spreadsheet can use a grid view on day one. The concepts that take longer are linked records, rollups, and the discipline of one table per entity rather than one tab per topic. Automations and the scripting step assume some technical comfort. | Moderate: the canvas and mapping panel are intuitive within hours, while iterators, aggregators, and error-handler semantics reward a deliberate afternoon with the docs. Sits clearly between Zapier's near-zero curve and n8n's technical one. |
| Platforms | Web app, iOS, Android, macOS and Windows desktop apps, Slack and Microsoft Teams surfaces | Web app, REST API, Developer platform (custom apps) |
| Compliance | GDPR, CCPA, SOC 2 Type II, ISO 27001, HIPAA (Enterprise Scale, under a BAA) | SOC 2, GDPR, ISO 27001 |
| Founded | 2012 | 2016 |
| Headquarters | San Francisco, California, United States | Prague, Czech Republic |
| Ownership | Venture-backed; definitive agreement announced August 2026 to be acquired by Bending Spoons for an enterprise value of $1.285 billion, expected to close in late 2026 | Subsidiary of Celonis (acquired 2020) |
Strengths and limitations
Airtable
Strengths
- A genuinely relational model that non-technical people can build and maintain, which is rarer than the crowded no-code market suggests.
- Interface Designer removes the usual reason a small team abandons a spreadsheet workflow: there is a clean, permissioned screen for the people who should not see the schema.
- A well-documented, stable REST API and webhooks make it a first-class citizen in every automation engine, so it slots into a custom pipeline without adapters.
- Native automations with a JavaScript scripting step cover the awkward middle steps without a second vendor.
Limitations
- Per-base record ceilings are hard: 1,000 on Free, 50,000 on Team, 125,000 on Business, 500,000 on Enterprise Scale. Hitting one means splitting the base or moving off the product, not paying an overage.
- The API rate limit of 5 requests per second per base applies on every plan including Enterprise, which caps throughput regardless of spend.
- Interface and grid performance degrades noticeably on wide bases with many formula, rollup, and lookup fields well before the record limit is reached, particularly on views with heavy grouping.
- There is no SQL access and no arbitrary joins; queries are filters over one table plus its links, so genuinely analytical work has to be exported or synced elsewhere.
Make
Strengths
- The best power-per-dollar in mainstream automation: full logic primitives on a $9 tier, and a genuinely usable free plan.
- The visual canvas makes complex flows legible; routers, iterators, aggregators, and error handlers are native drag-and-drop, not workarounds.
- Operations pricing is transparent while you build: the editor shows what each run costs, making optimization a visible activity.
- Deep per-app modules: integrations typically expose many actions and searches, not token connectors.
Limitations
- Per-operation metering still bills every step, so Make loses the long-pipeline economics contest to n8n's per-execution model at scale.
- The ~2,000-app catalog covers the mainstream but concedes the long tail; niche-tool buyers routinely end up on Zapier anyway.
- The canvas intimidates true beginners relative to Zapier's guided linear editor, and error-handler semantics take study to use well.
- No self-hosted option; EU region processing exists but the platform is cloud-only.
Pricing compared
Airtable
Per-editor seat subscription, billed monthly or annually, with plan tiers that gate records per base, attachment storage, automation runs, revision history depth, sync capability, AI credits, and administrative controls. Only collaborators with edit or creator permission are billed; commenters, read-only viewers, and form submitters are free. AI usage is metered in credits bundled per seat.
- Free$0
- Team$20 per seat
- Business$45 per seat
- Enterprise ScaleCustom
As a database, Airtable is expensive per unit of data and cheap per unit of usability. Nobody buys 125,000 records for $45 a seat; they buy the fact that a non-technical colleague can be given a filtered, permissioned screen over live pipeline data in an afternoon, and that the same data is one REST call away from every other tool in the stack. Judged as the state layer of a homemade GTM system, a two or three seat Team plan at $40 to $60 a month is reasonable next to the automation engine and enrichment API sitting beside it. Judged as a general-purpose application backend, it is poor value: the per-base record ceilings, the fixed API rate limit, and per-editor billing all push against scale. The honest rule is that Airtable earns its price where humans look at the data, and loses to Postgres or a cheaper table store everywhere they do not.
Make
Freemium with operations-based metering: every module execution consumes one operation from a monthly allowance. Tiers scale the allowance, minimum scheduling interval, and team features; operations can be topped up, and unused allowance policies vary by tier. Prices quoted for annual billing; monthly billing runs higher.
- Free$0
- CoreFrom $9
- ProFrom $16
- TeamsFrom $29
- EnterpriseCustom
Make's claim to Best Value is straightforward arithmetic plus real capability: routers, iterators, and error handlers, the features that gate 'serious' automation elsewhere, are included from the free tier up, and the per-operation price at entry undercuts every comparable rival. For most SMB workloads (moderate volume, moderately complex scenarios) it delivers 90% of what either neighbor offers at clearly the lowest bill. The value case weakens at the two edges: long-tail app coverage (Zapier's game) and very long high-volume pipelines, where per-execution n8n beats any per-step meter, Make's included.
Editorial verdict on each
Airtable
Airtable is the default answer to a specific question: where does the data live between the automated steps, and how does a human look at it. That is a narrower job than the marketing suggests, and it is a job Airtable does better than anything at its price. The relational model is real, the API is stable enough to build on, and Interface Designer solves the problem that kills most homemade workflows, which is that non-technical colleagues will not work inside a raw table. The costs are equally clear: per-editor billing that scales with headcount rather than value, hard per-base record ceilings, a 5 requests per second API limit that no amount of money removes, and no SQL when the analysis gets serious. Buy it as the state and review layer of a go-to-market stack, size the seat count honestly before committing, and keep an export script running, because the Bending Spoons acquisition announced in August 2026 makes the pricing trajectory over the next two years a genuine open question rather than a safe assumption.
Read the full Airtable profileMake
Best ValueMake is the category's honest bargain: the logic primitives that make automation genuinely programmatic, branching, iteration, aggregation, error handling, delivered visually, included at every tier, and priced beneath everyone. For the typical SMB workload it does 90% of what either neighbor does at clearly the lowest bill, with an EU-residency option nobody else offers self-serve. Its concessions are the catalog's long tail (Zapier's) and long-pipeline unit economics plus AI-agent depth (n8n's), which mark the two exits power users eventually take. Between those edges sits most of the market, and for it, Make is the value pick without much argument.
Read the full Make profileAirtable profile last reviewed 2026-08-23; Make last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.