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Spreadsheet & Data · head to head

Baserow vs Apache Spark MLlib

Baserow logo

Baserow

Spreadsheet & Data

Open-source no-code database platform

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning & Data Science

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace; 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: Baserow covers Database tables, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Baserow and Apache Spark MLlib differ
AttributeBaserowApache Spark MLlib
Pricing modelfreemiumopen-source
PlatformsWeb, Api, Self-hostedLinux, macOS, Windows
CategorySpreadsheet & DataMachine Learning & Data Science
Founded20191999

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 Baserow

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

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.

Baserow

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

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot Baserow
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot Baserow
  • Clustering with K-means and Gaussian Mixture Modelsnot 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

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

Baserow

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

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib 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.
Baserow 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 Baserow or Apache Spark MLlib better?
Neither clearly leads. Baserow 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, Baserow or Apache Spark MLlib?
Baserow starts at Free and Apache Spark MLlib at Free.
Does Baserow or Apache Spark MLlib run on more platforms?
Baserow runs on Web, Api, Self-hosted. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Baserow for free?
Both have a free tier, so you can try either at no cost before committing.
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 Apache Spark MLlib is typically brought in for.
What can Baserow do that Apache Spark MLlib cannot?
Baserow covers Database tables, Multiple views, Forms, API access. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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