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Software Development · head to head

Devin vs Apache Spark MLlib

Devin logo

Devin

Software Development

Autonomous AI software engineer planning and executing code in its own environment

From
On request
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Apache Spark MLlib has a free tier, so it costs nothing to try first.
  • Each has a real cost: Devin pricing not published; specific costs and plan tiers require signup or contact with sales; 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.

Where they differ

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

Attributes where Devin and Apache Spark MLlib differ
AttributeDevinApache Spark MLlib
Starting priceOn requestFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsDesktop, Windsurf integration, WebLinux, macOS, Windows
CategorySoftware DevelopmentMachine Learning
FoundedUnknown1999

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 Devin

Nothing recorded that Apache Spark MLlib does not also cover.

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.

Devin

  • Feature implementation and ticket resolution in established codebasesnot Apache Spark MLlib
  • Code migrations and refactoring at scale across repositoriesnot Apache Spark MLlib
  • Bug fixing and debugging with test-driven verificationnot Apache Spark MLlib
  • Rapid prototyping and proof-of-concept developmentnot Apache Spark MLlib
  • Repetitive implementation tasks freeing human engineers for complex designnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot Devin
  • Data sciencenot Devin
  • Distributed computingnot Devin

Where each one falls short

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

Devin

  • Pricing not published; specific costs and plan tiers require signup or contact with sales
  • Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
  • Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
  • Requires human oversight and integration into existing workflows; not fully autonomous

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

Devin

On request

No published plan breakdown. See the Devin review.

Apache Spark MLlib

Free

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

Which should you pick?

Choose Devin if

  • You work on Desktop, Windsurf integration, Web.
Devin 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 Devin or Apache Spark MLlib better?
Neither clearly leads. Devin starts at On request and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Devin or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at On request for Devin and Free for Apache Spark MLlib.
Does Devin or Apache Spark MLlib run on more platforms?
Devin runs on Desktop, Windsurf integration, Web. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Apache Spark MLlib for free?
Yes. Apache Spark MLlib has a free tier, so you can try it without paying. Devin starts at On request.
What is Devin best used for?
Devin is most often used for feature implementation and ticket resolution in established codebases, code migrations and refactoring at scale across repositories, bug fixing and debugging with test-driven verification, rapid prototyping and proof-of-concept development. Of those, feature implementation and ticket resolution in established codebases and code migrations and refactoring at scale across repositories are not what Apache Spark MLlib is typically brought in for.
What can Devin do that Apache Spark MLlib cannot?
Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Devin: What does Devin cost?

Devin's pricing is not publicly listed on their website. Interested parties must request a demo to discuss pricing and availability.

Source
Apache Spark MLlib: How much does Apache Spark MLlib cost?

MLlib is completely free and open source, licensed under the Apache License Version 2.0. There are no subscription, licensing, or usage fees.

Source
Devin: How do I get access to Devin?

Devin is accessed by requesting a demo. There is no information about self-service signup, trial, or pricing on the public website.

Source
Apache Spark MLlib: What licensing does MLlib use?

MLlib is licensed under Apache License Version 2.0, making it freely available for all users regardless of organization size or use case.

Source
Apache Spark MLlib: How do I use MLlib?

MLlib is built into Apache Spark. Download Spark, which includes MLlib as a module, and deploy on your choice of infrastructure including Hadoop, Mesos, Kubernetes, standalone, or cloud.

Source
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