Domino Data Lab vs Apache Spark MLlib

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.

What people use each for

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

Where each one falls short

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

Pricing, plan by plan

Which should you pick?

Questions people ask

Is Domino Data Lab or Apache Spark MLlib better?

Neither clearly leads. Domino Data Lab 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, Domino Data Lab or Apache Spark MLlib?

Domino Data Lab starts at Free and Apache Spark MLlib at Free.

Does Domino Data Lab or Apache Spark MLlib run on more platforms?

Domino Data Lab runs on Web. Apache Spark MLlib runs on Linux, macOS, Windows.

Can I use Domino Data Lab for free?

Both have a free tier, so you can try either at no cost before committing.

What is Domino Data Lab best used for?

Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what Apache Spark MLlib is typically brought in for.

What can Domino Data Lab do that Apache Spark MLlib cannot?

Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.