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Databases · head to head

Airtable vs BigQuery

Airtable logo

Airtable

Databases

Create apps that perfectly fit your team's needs

From
Free
Rated
-
Full reviewWebsite
BigQuery logo

BigQuery

Databases

Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Airtable hitting a plan limit blocks adding records or attachments entirely until you upgrade, rather than degrading gracefully; BigQuery on-demand billing charges for bytes read from every column a query references, so an unqualified select or a missing partition filter turns a routine query into a large bill, and the cost is discovered after the fact rather than at review time.
  • They diverge on capability: Airtable covers Spreadsheet-database hybrid, BigQuery covers Serverless compute.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Airtable and BigQuery actually diverge.

Attributes where Airtable and BigQuery differ
AttributeAirtableBigQuery
Pricing modelUnknownusage-based
PlatformsWeb, iOS, Android, DesktopWeb, Cloud API
Founded20122008

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Airtable

  • Spreadsheet-database hybrid
  • Custom views
  • Automation
  • Forms
  • Integrations
  • Mobile apps
  • Real-time collaboration
  • API access

Only in BigQuery

  • Serverless compute
  • Separation of storage and compute
  • Two pricing models
  • Partitioning and clustering
  • Materialised views
  • BigQuery ML
  • Storage Write API
  • BI Engine

What people use each for

The jobs each tool is most often brought in to do.

Airtable

  • Structured team databases with grid, calendar and kanban viewsnot BigQuery
  • Lightweight internal tools built on shared recordsnot BigQuery
  • Automations between Airtable and other systemsnot BigQuery
  • Sharing read-only views with collaborators, who are not chargednot BigQuery
  • Collecting submissions through forms without paying for a seatnot BigQuery

BigQuery

  • A warehouse for an organisation already on Google Cloud, where identity, logging and billing are consolidated in the same placenot Airtable
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Airtable
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Airtable
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Airtable

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Airtable

  • Hitting a plan limit blocks adding records or attachments entirely until you upgrade, rather than degrading gracefully
  • Team is $20 per user per month and Business $45, both at the annual rate
  • Automation and API usage are capped by plan
  • Enterprise Scale pricing is not published

BigQuery

  • On-demand billing charges for bytes read from every column a query references, so an unqualified select or a missing partition filter turns a routine query into a large bill, and the cost is discovered after the fact rather than at review time.
  • There is no way to join tables that live in different regions, so a data estate split across regions for residency reasons has to be reconciled with copies and the storage and transfer that implies.
  • It is not built for point lookups; retrieving a single row has latency measured in hundreds of milliseconds or more, so BigQuery cannot serve an application's read path and always needs a second store in front of it.
  • Frequent small mutations run into DML concurrency limits and the cost of rewriting storage blocks, so a workload that updates individual rows continuously behaves badly compared with an append-only design.
  • The compute exists only inside Google Cloud, so while tables can be exported, the accumulated GoogleSQL, scheduled queries, authorised views, ML models and IAM structure do not move, and switching warehouses is a rewrite of the analytical layer.

Pricing, plan by plan

Airtable

Free
  • FreeFree
    • Unlimited bases
    • 1,000 records per base
    • Up to 5 editors
  • Team$20/month per editor annual
    • 50,000 records per base
    • Unlimited automations
    • API access
  • Business$45/month per editor annual
    • 125,000 records per base
    • Advanced permissions
    • Priority support
  • Enterprise Scale$undefined/custom
    • 500,000+ records per base
    • Custom SLA
    • Dedicated support

BigQuery

Free
  • Free TierFree
    • 1TB queries/month
    • 10GB storage/month
    • Standard support
  • On-demand$6.25/TB
    • Pay per query
    • Pay per storage
    • All features

Which should you pick?

Choose Airtable if

  • You need spreadsheet-database hybrid.
  • You want to start without paying.
  • You work on Web, iOS, Android, Desktop.
  • You also want custom views.
Airtable review

Choose BigQuery if

  • You need serverless compute.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want separation of storage and compute.
BigQuery review

Questions people ask

Is Airtable or BigQuery better?
Neither clearly leads. Airtable starts at Free and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Airtable or BigQuery?
Airtable starts at Free and BigQuery at Free.
Does Airtable or BigQuery run on more platforms?
Airtable runs on Web, iOS, Android, Desktop. BigQuery runs on Web, Cloud API.
Can I use Airtable for free?
Both have a free tier, so you can try either at no cost before committing.
What is Airtable best used for?
Airtable is most often used for structured team databases with grid, calendar and kanban views, lightweight internal tools built on shared records, automations between airtable and other systems, sharing read-only views with collaborators, who are not charged. Of those, structured team databases with grid, calendar and kanban views and lightweight internal tools built on shared records are not what BigQuery is typically brought in for.
What can Airtable do that BigQuery cannot?
Airtable covers Spreadsheet-database hybrid, Custom views, Automation, Forms. BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.

Answered from the vendors’ own pages

Airtable: Is there a free Airtable plan and what does it include?

Yes, Airtable's Free plan is indefinite with unlimited bases, 1,000 records per base, up to 5 editors, 1 GB storage per base, 100 automation runs per month, and core features like Interface Designer and mobile apps.

Source
BigQuery: How is BigQuery actually billed?

Storage is billed separately from compute. Compute is either on-demand, priced by the bytes a query reads from the referenced columns, or capacity-based, where you reserve autoscaling slots. Most cost surprises come from on-demand queries that scan more than expected.

Airtable: How does Airtable handle permissions and viewers?

Airtable charges per editor only. Read-only viewers, form submitters, and people accessing share links are free on every plan, making it cost-effective for large viewing audiences.

Source
BigQuery: How do I control query cost?

Partition and cluster tables so queries prune data, select only the columns needed, use materialised views for repeated aggregations, and set maximum bytes billed on queries so a runaway scan fails instead of billing.

Airtable: What are Airtable's record limits?

Free plan has 1,000 records per base, Team plan has 50,000, Business plan has 125,000, and Enterprise Scale has 500,000+ records. Performance degrades past 100,000 records in a single base.

Source
BigQuery: Can I use it without being on Google Cloud?

The service only runs on Google Cloud. BigQuery Omni can query data held in S3 or Azure storage, but the compute is still Google's and the account relationship is still with Google.

Airtable: Can Airtable integrate with other tools like Slack?

Yes, Airtable integrates with Slack via Zapier or Make.com, allowing automation like sending Slack messages when records are created or updated. Airtable also has a native API for direct integrations.

Source
BigQuery: Is it suitable for serving application queries?

No. Latency for single-row reads is far too high. BigQuery is an analytical warehouse and application read paths need a transactional database or a cache in front of it.

BigQuery: When should I move from on-demand to capacity pricing?

When on-demand spend becomes both large and predictable, or when unpredictable spend is a bigger problem than query queueing. The switch trades a variable bill for a fixed one plus contention between workloads.

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