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Cursor vs Apache Spark MLlib

Cursor logo

Cursor

Software Development

The AI-first code editor

From
Free
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

  • Each has a real cost: Cursor cannot work fully offline; AI features require internet connection; 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: Cursor covers AI code completion, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Cursor and Apache Spark MLlib differ
AttributeCursorApache Spark MLlib
Pricing modelUnknownopen-source
PlatformsWindows, Macos, LinuxLinux, macOS, Windows
CategorySoftware DevelopmentMachine Learning
Founded20221999

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 Cursor

  • AI code completion
  • Natural language editing
  • Codebase chat
  • Multi-file editing
  • Code generation
  • Bug fixing assistance
  • Refactoring suggestions
  • AI pair programming

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.

Cursor

  • AI-assisted codingnot Apache Spark MLlib
  • Code generationnot Apache Spark MLlib
  • Bug fixingnot Apache Spark MLlib
  • Refactoringnot Apache Spark MLlib
  • Learning new codebasesnot Apache Spark MLlib
  • Rapid prototypingnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot Cursor
  • Data sciencenot Cursor
  • Distributed computingnot Cursor

Where each one falls short

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

Cursor

  • Cannot work fully offline; AI features require internet connection
  • Local models require requests to route through Cursor's backend, not true localhost support
  • Free tier capped at 2,000 completions per month
  • Codebase indexing uploads code chunks to compute embeddings, with file caching handled server-side

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

Cursor

Free
  • HobbyFree
    • 2,000 completions/month
    • 50 slow premium requests
    • Basic autocomplete
  • Pro$20/month
    • Unlimited completions
    • 500 fast premium requests
    • Composer multi-file editor
  • Pro+$60/month
    • 3x Pro limits on Agent requests
    • Priority feature access
  • Teams Standard$40/user/month
    • All Individual Pro features
    • Centralized billing
    • SAML/OIDC SSO

Apache Spark MLlib

Free

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

Which should you pick?

Choose Cursor if

  • You need ai code completion.
  • You want to start without paying.
  • You work on Windows, Macos, Linux.
  • You also want natural language editing.
Cursor 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 Cursor or Apache Spark MLlib better?
Neither clearly leads. Cursor 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, Cursor or Apache Spark MLlib?
Cursor starts at Free and Apache Spark MLlib at Free.
Does Cursor or Apache Spark MLlib run on more platforms?
Cursor runs on Windows, Macos, Linux. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Cursor for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cursor best used for?
Cursor is most often used for ai-assisted coding, code generation, bug fixing, refactoring. Of those, ai-assisted coding and code generation are not what Apache Spark MLlib is typically brought in for.
What can Cursor do that Apache Spark MLlib cannot?
Cursor covers AI code completion, Natural language editing, Codebase chat, Multi-file editing. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Cursor: What's included in Cursor's free tier and what are its limits?

The free Hobby plan provides 2,000 completions per month and 50 slow premium requests, with access to basic autocomplete features. Codebase-wide indexing and the Composer multi-file editor are not available on the free plan.

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
Cursor: Does Cursor require an internet connection to edit code?

While Cursor can open and edit files locally, its AI features including autocomplete, chat, agents, and codebase-aware reasoning require internet access to cloud-hosted models.

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
Cursor: Can I use Cursor with local models running on my machine?

Cursor can integrate with local models, but requests still route through Cursor's backend for prompt building. True localhost mode without external endpoints is not supported. The paid plan ($20+/month) is required to use local models.

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
Cursor: What privacy controls does Cursor offer?

Cursor offers Privacy Mode (enabled on paid Team plans) which prevents customer data from being used for model training, with zero data retention agreements with all AI providers. When disabled, Cursor may use codebase data to improve features.

Source
Cursor: What are the differences between Pro and Pro+ plans?

Pro ($20/month) includes unlimited completions and 500 fast premium requests, while Pro+ ($60/month) provides 3x those request limits, priority feature access, and extended Agent capabilities.

Source
Cursor: Does Cursor support SSO and on which plan?

SSO with SAML/OIDC is included on Teams Standard ($40/user/month) and higher plans, with full team administration and audit logs.

Source
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