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Machine Learning · head to head

Apache Spark MLlib vs Windsurf

Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite
Windsurf logo

Windsurf

Software Development

The agentic IDE

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Windsurf recently rebranded to Devin Desktop, creating product identity confusion
  • They diverge on capability: Apache Spark MLlib covers Classification, Windsurf covers Cascade AI agent.

Where they differ

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

Attributes where Apache Spark MLlib and Windsurf differ
AttributeApache Spark MLlibWindsurf
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
CategoryMachine LearningSoftware Development
Founded19992021

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 Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

Only in Windsurf

  • Cascade AI agent
  • Agentic programming
  • Context-aware assistance
  • Automated command execution
  • Multi-file understanding
  • Intelligent code generation
  • Real-time debugging
  • Integrated terminal

What people use each for

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

Apache Spark MLlib

  • Machine learningnot Windsurf
  • Data sciencenot Windsurf
  • Distributed computingnot Windsurf

Windsurf

  • Agentic developmentnot Apache Spark MLlib
  • AI-assisted codingnot Apache Spark MLlib
  • Complex project managementnot Apache Spark MLlib
  • Automated coding tasksnot Apache Spark MLlib
  • Learning new codebasesnot Apache Spark MLlib

Where each one falls short

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

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.

Windsurf

  • Recently rebranded to Devin Desktop, creating product identity confusion
  • Cascade agent reached end-of-life on July 1, 2026, requiring migration to Devin Local
  • Free tier quota runs out quickly for active developers, within a couple days of coding
  • Pricing increased significantly in March 2026 overhaul, moving from credit-based to daily/weekly quotas
  • OpenAI acquisition raises concerns about long-term product direction diverging from Codeium's vision

Pricing, plan by plan

Apache Spark MLlib

Free

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

Windsurf

Free
  • FreeFree
    • Light daily and weekly quotas
    • Unlimited tab autocomplete
    • Access to Cascade AI agent
  • Pro$20/month
    • Standard quotas
    • Windsurf proprietary SWE model
    • Cloud sessions for background work
  • Max$200/month
    • Heavy daily quotas
    • Long agent sessions
    • Frontier third-party models
  • Teams$40/month-per-user
    • All Pro features
    • Centralized billing
    • Usage analytics

Which should you pick?

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

Choose Windsurf if

  • You need cascade ai agent.
  • You want to start without paying.
  • You work on macOS, Linux, Windows.
  • You also want agentic programming.
Windsurf review

Questions people ask

Is Apache Spark MLlib or Windsurf better?
Neither clearly leads. Apache Spark MLlib starts at Free and Windsurf at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Spark MLlib or Windsurf?
Apache Spark MLlib starts at Free and Windsurf at Free.
Does Apache Spark MLlib or Windsurf run on more platforms?
Apache Spark MLlib runs on Linux, macOS, Windows. Windsurf runs on macOS, Linux, Windows.
Can I use Apache Spark MLlib for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Spark MLlib best used for?
Apache Spark MLlib is most often used for machine learning, data science, distributed computing. Of those, machine learning and data science are not what Windsurf is typically brought in for.
What can Apache Spark MLlib do that Windsurf cannot?
Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. Windsurf covers Cascade AI agent, Agentic programming, Context-aware assistance, Automated command execution.

Answered from the vendors’ own pages

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
Windsurf: Does Windsurf support MCP (Model Context Protocol) integrations?

Yes. Windsurf supports MCP with integrations for 21 third-party tools for extending functionality and connecting to external systems.

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
Windsurf: What is Windsurf's current status as of 2026?

Windsurf rebranded to Devin Desktop in June 2026 and is backed by OpenAI after its 2025 acquisition. Cascade reached end-of-life on July 1, 2026, with Devin Local as the Rust-rewritten successor.

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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