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Machine Learning & Data Science · head to head

AWS SageMaker vs Baserow

AWS SageMaker logo

AWS SageMaker

Machine Learning & Data Science

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Baserow logo

Baserow

Spreadsheet & Data

Open-source no-code database platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Baserow covers Database tables.

Where they differ

Only the attributes on which AWS SageMaker and Baserow actually diverge.

Attributes where AWS SageMaker and Baserow differ
AttributeAWS SageMakerBaserow
Pricing modelUnknownfreemium
PlatformsWebWeb, Api, Self-hosted
CategoryMachine Learning & Data ScienceSpreadsheet & Data
Founded20062019

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in Baserow

  • Database tables
  • Multiple views
  • Forms
  • API access
  • Real-time collaboration
  • Templates
  • Plugins
  • Self-hosting

Both cover

  • Web support

What people use each for

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

AWS SageMaker

  • Machine learningnot Baserow
  • Data analysisnot Baserow
  • Model trainingnot Baserow
  • Predictive analyticsnot Baserow

Baserow

  • Self-hosting an open source alternative to a spreadsheet databasenot AWS SageMaker
  • Structured team data with Kanban, calendar and grid viewsnot AWS SageMaker
  • Building internal tools on top of a database with an APInot AWS SageMaker
  • Sharing data with external app users without giving them full seatsnot AWS SageMaker

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

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

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Baserow

Free
  • FreeFree
    • Unlimited rows
    • Core features
    • Community support
  • Premium$5/user/month
    • Row comments
    • Kanban view
    • Survey form

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

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.
Baserow review

Questions people ask

Is AWS SageMaker or Baserow better?
Neither clearly leads. AWS SageMaker starts at Free and Baserow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Baserow?
AWS SageMaker starts at Free and Baserow at Free.
Does AWS SageMaker or Baserow run on more platforms?
AWS SageMaker runs on Web. Baserow runs on Web, Api, Self-hosted.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Baserow is typically brought in for.
What can AWS SageMaker do that Baserow cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Baserow covers Database tables, Multiple views, Forms, API access. Both handle Web support.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

Source
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

Source
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
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