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Databases · head to head

Airtable vs Apache Spark MLlib

Airtable logo

Airtable

Databases

Create apps that perfectly fit your team's needs

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning

Scalable machine learning on Apache Spark

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; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: Airtable covers Spreadsheet-database hybrid, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which Airtable and Apache Spark MLlib actually diverge.

Attributes where Airtable and Apache Spark MLlib differ
AttributeAirtableApache Spark MLlib
Pricing modelUnknownopen-source
PlatformsWeb, iOS, Android, DesktopLinux, macOS, Windows
CategoryDatabasesMachine Learning
Founded20121999

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

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 Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

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 Apache Spark MLlib
  • Lightweight internal tools built on shared recordsnot Apache Spark MLlib
  • Automations between Airtable and other systemsnot Apache Spark MLlib
  • Sharing read-only views with collaborators, who are not chargednot Apache Spark MLlib
  • Collecting submissions through forms without paying for a seatnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot Airtable
  • Data sciencenot Airtable
  • Distributed computingnot 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

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

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

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

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 Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is Airtable or Apache Spark MLlib better?
Neither clearly leads. Airtable starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Airtable or Apache Spark MLlib?
Airtable starts at Free and Apache Spark MLlib at Free.
Does Airtable or Apache Spark MLlib run on more platforms?
Airtable runs on Web, iOS, Android, Desktop. Apache Spark MLlib runs on Linux, macOS, Windows.
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 Apache Spark MLlib is typically brought in for.
What can Airtable do that Apache Spark MLlib cannot?
Airtable covers Spreadsheet-database hybrid, Custom views, Automation, Forms. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

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
Apache Spark MLlib: How much does Apache Spark MLlib cost?

MLlib is completely free and open source, licensed under the Apache License Version 2.0. There are no subscription, licensing, or usage fees.

Source
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
Apache Spark MLlib: What licensing does MLlib use?

MLlib is licensed under Apache License Version 2.0, making it freely available for all users regardless of organization size or use case.

Source
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
Apache Spark MLlib: How do I use MLlib?

MLlib is built into Apache Spark. Download Spark, which includes MLlib as a module, and deploy on your choice of infrastructure including Hadoop, Mesos, Kubernetes, standalone, or cloud.

Source
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
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