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Spreadsheet & Data · head to head

Metabase vs Apache Spark MLlib

Metabase logo

Metabase

Spreadsheet & Data

Fast analytics with the friendly UX

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: Metabase row and column level permissions and SSO available only in Pro tier and above; 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: Metabase covers No-code Query Builder, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Metabase and Apache Spark MLlib differ
AttributeMetabaseApache Spark MLlib
Pricing modelUnknownopen-source
PlatformsWeb, Self-hosted cloudLinux, macOS, Windows
CategorySpreadsheet & DataMachine Learning & Data Science
Founded20141999

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 Metabase

  • No-code Query Builder
  • SQL Editor
  • Interactive Dashboards
  • Alerts
  • Embedding
  • PostgreSQL
  • MySQL
  • MongoDB

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.

Metabase

  • Business intelligence and data exploration for non-technical usersnot Apache Spark MLlib
  • Embedded analytics for SaaS applicationsnot Apache Spark MLlib
  • Self-service reporting and dashboard creationnot Apache Spark MLlib
  • Integration with 40+ data sources including cloud warehousesnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

Metabase

  • Row and column level permissions and SSO available only in Pro tier and above
  • Advanced analytics features like multi-tenant embedded analytics require Pro tier or higher
  • AI-powered features incur additional usage-based costs: $3.75 per 1M tokens
  • Self-hosted deployment on Free/Open Source tier requires infrastructure management

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

Metabase

Free

No published plan breakdown. See the Metabase review.

Apache Spark MLlib

Free

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

Which should you pick?

Choose Metabase if

  • You need no-code query builder.
  • You want to start without paying.
  • You work on Web, Self-hosted cloud.
  • You also want sql editor.
Metabase 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 Metabase or Apache Spark MLlib better?
Neither clearly leads. Metabase 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, Metabase or Apache Spark MLlib?
Metabase starts at Free and Apache Spark MLlib at Free.
Does Metabase or Apache Spark MLlib run on more platforms?
Metabase runs on Web, Self-hosted cloud. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Metabase for free?
Both have a free tier, so you can try either at no cost before committing.
What is Metabase best used for?
Metabase is most often used for business intelligence and data exploration for non-technical users, embedded analytics for saas applications, self-service reporting and dashboard creation, integration with 40+ data sources including cloud warehouses. Of those, business intelligence and data exploration for non-technical users and embedded analytics for saas applications are not what Apache Spark MLlib is typically brought in for.
What can Metabase do that Apache Spark MLlib cannot?
Metabase covers No-code Query Builder, SQL Editor, Interactive Dashboards, Alerts. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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