Spreadsheet & Data · head to head
Baserow vs Google Vertex AI

Google Vertex AI
Machine Learning & Data Science
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Only Baserow has a free tier, so it costs nothing to try first.
- Each has a real cost: Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- They diverge on capability: Baserow covers Database tables, Google Vertex AI covers AutoML.
Where they differ
Only the attributes on which Baserow and Google Vertex AI actually diverge.
| Attribute | Baserow | Google Vertex AI |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | freemium | Unknown |
| Free tier | Yes | No |
| Platforms | Web, Api, Self-hosted | Cloud, Web |
| Category | Spreadsheet & Data | Machine Learning & Data Science |
| Founded | 2019 | 2008 |
Identical on both: 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 Baserow
- Database tables
- Multiple views
- Forms
- API access
- Real-time collaboration
- Templates
- Plugins
- Self-hosting
Only in Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Baserow
- Self-hosting an open source alternative to a spreadsheet databasenot Google Vertex AI
- Structured team data with Kanban, calendar and grid viewsnot Google Vertex AI
- Building internal tools on top of a database with an APInot Google Vertex AI
- Sharing data with external app users without giving them full seatsnot Google Vertex AI
Google Vertex AI
- Machine learningnot Baserow
- Data analysisnot Baserow
- Model trainingnot Baserow
- Predictive analyticsnot Baserow
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Baserow
- The free tier is capped at 3,000 rows and 2GB of storage per workspace
- Kanban, calendar and survey views need Premium at $10 per user per month billed yearly
- Role-based permissions, audit logs and SSO require Premium or higher
- Row limits are per workspace rather than per table, so splitting data across bases does not raise the ceiling
- Automation runs are metered as credits, 2,000 a month on free
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
Pricing, plan by plan
Baserow
Free- FreeFree
- Unlimited rows
- Core features
- Community support
- Premium$5/user/month
- Row comments
- Kanban view
- Survey form
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Which should you pick?
Choose Baserow if
- You need database tables.
- You want to start without paying.
- You work on Web, Api, Self-hosted.
- You also want multiple views.
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Questions people ask
- Is Baserow or Google Vertex AI better?
- Neither clearly leads. Baserow starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Baserow or Google Vertex AI?
- Baserow has a free tier; the other does not. Paid plans start at Free for Baserow and On request for Google Vertex AI.
- Does Baserow or Google Vertex AI run on more platforms?
- Baserow runs on Web, Api, Self-hosted. Google Vertex AI runs on Cloud, Web.
- Can I use Baserow for free?
- Yes. Baserow has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- What is Baserow best used for?
- Baserow is most often used for self-hosting an open source alternative to a spreadsheet database, structured team data with kanban, calendar and grid views, building internal tools on top of a database with an api, sharing data with external app users without giving them full seats. Of those, self-hosting an open source alternative to a spreadsheet database and structured team data with kanban, calendar and grid views are not what Google Vertex AI is typically brought in for.
- What can Baserow do that Google Vertex AI cannot?
- Baserow covers Database tables, Multiple views, Forms, API access. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle Web support.
Answered from the vendors’ own pages
Google Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceRelated pages
More on Google Vertex AI
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