Databases · head to head
Airtable vs Dataiku
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; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Airtable covers Spreadsheet-database hybrid, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Airtable and Dataiku actually diverge.
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
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 Dataiku
- Lightweight internal tools built on shared recordsnot Dataiku
- Automations between Airtable and other systemsnot Dataiku
- Sharing read-only views with collaborators, who are not chargednot Dataiku
- Collecting submissions through forms without paying for a seatnot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot Airtable
- Giving analysts and data scientists a shared visual and code environmentnot 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
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
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.
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Questions people ask
- Is Airtable or Dataiku better?
- Neither clearly leads. Airtable starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Airtable or Dataiku?
- Airtable starts at Free and Dataiku at Free.
- Does Airtable or Dataiku run on more platforms?
- Airtable runs on Web, iOS, Android, Desktop. Dataiku runs on Linux, Mac, Windows, Web.
- 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 Dataiku is typically brought in for.
- What can Airtable do that Dataiku cannot?
- Airtable covers Spreadsheet-database hybrid, Custom views, Automation, Forms. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
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.
SourceDataiku: What are Dataiku pricing tiers and costs?
Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.
SourceAirtable: 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.
SourceDataiku: Does Dataiku offer a free tier or trial?
Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.
SourceAirtable: 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.
SourceAirtable: 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.
SourceRelated pages
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- Dataiku vs Apache Kafka
- Dataiku vs PlanetScale
- Dataiku vs Meilisearch
- Dataiku vs Turso
- Dataiku vs Azure SQL
- Dataiku vs ClickHouse
- Dataiku vs Couchbase
- Dataiku vs DuckDB
- Dataiku vs MariaDB
- Dataiku vs Oracle Database
- Dataiku vs DataGrip
- Dataiku vs Firebolt
- Dataiku vs Google Cloud SQL
- Dataiku vs MotherDuck
- Dataiku vs AWS SageMaker
- Dataiku vs Google Vertex AI
- Dataiku vs Azure Machine Learning
- Dataiku vs DataRobot
- Dataiku vs MLflow
- Dataiku vs Snowflake
- Dataiku vs TensorFlow
- Dataiku vs Comet ML
- Dataiku vs Jupyter
- Dataiku vs LangChain
- Dataiku vs Pinecone
- Dataiku vs Python
- Dataiku vs PyTorch
- Dataiku vs scikit-learn
- Dataiku vs Apache Spark MLlib
- Dataiku vs Weaviate
- Dataiku vs Weights & Biases
- Dataiku vs Alteryx


