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Sketch vs Apache Spark MLlib

Sketch logo

Sketch

Software

The digital design toolkit

From
$12/month
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

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: Sketch macOS-only for editing, blocking Windows and Linux users from accessing design features; 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: Sketch covers Vector editing, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Sketch and Apache Spark MLlib differ
AttributeSketchApache Spark MLlib
Starting price$12/monthFree
Pricing modelUnknownopen-source
Free tierNoYes
PlatformsmacOS, Web, iOS, iPadLinux, macOS, Windows
Founded20101999

Identical on both: user rating (Not yet rated), category (Unknown).

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 Sketch

  • Vector editing
  • Symbols & components
  • Prototyping
  • Real-time collaboration
  • Developer handoff
  • Plugins ecosystem
  • Cloud sync
  • Version history

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.

Sketch

  • UI designnot Apache Spark MLlib
  • Mobile app designnot Apache Spark MLlib
  • Web designnot Apache Spark MLlib
  • Design systemsnot Apache Spark MLlib
  • Prototypingnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

Sketch

  • macOS-only for editing, blocking Windows and Linux users from accessing design features
  • Real-time collaboration feels less seamless than Figma with occasional sync delays
  • Limited built-in image editing capabilities, requiring external software for bitmap work
  • Subscription required for cloud features and collaboration, losing access if subscription lapses

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

Sketch

$12/month
  • Standard$12/month
    • Real-time collaboration
    • Unlimited documents
    • Unlimited free viewers
  • Professional$24/month
    • Everything in Standard
    • Single Sign-On (SSO)
    • Project archiving
  • Enterprise$44/month
    • Everything in Professional
    • SCIM provisioning
    • BYOK encryption
  • Mac-only License$120/perpetual
    • Native Mac app
    • Offline access
    • Local file saving

Apache Spark MLlib

Free

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

Which should you pick?

Choose Sketch if

  • You need vector editing.
  • You work on macOS, Web, iOS, iPad.
  • You also want symbols & components.
Sketch 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 Sketch or Apache Spark MLlib better?
Neither clearly leads. Sketch starts at $12/month and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sketch or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at $12/month for Sketch and Free for Apache Spark MLlib.
Does Sketch or Apache Spark MLlib run on more platforms?
Sketch runs on macOS, Web, iOS, iPad. 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. Sketch starts at $12/month.
What is Sketch best used for?
Sketch is most often used for ui design, mobile app design, web design, design systems. Of those, ui design and mobile app design are not what Apache Spark MLlib is typically brought in for.
What can Sketch do that Apache Spark MLlib cannot?
Sketch covers Vector editing, Symbols & components, Prototyping, Real-time collaboration. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Sketch: Is Sketch available for Windows or Linux?

No. Sketch is macOS-only for the design and prototyping features. Web and mobile apps provide viewing and collaboration, but editing requires macOS 14.0 or later.

Source
Sketch: Does Sketch offer a free trial?

Yes. Sketch provides a 30-day free trial with no credit card required. You can also purchase a one-time Mac-only license for $120 per seat instead of subscribing.

Source
Sketch: What collaboration features does Sketch include?

Sketch supports real-time collaboration, unlimited document sharing, unlimited viewers, and version history on all paid subscription plans (Standard $12/month, Professional $24/month, Enterprise $44/month).

Source
Sketch: Can I use Sketch offline?

Yes. The one-time Mac-only license ($120) allows you to use Sketch offline and save files locally, but it excludes cloud collaboration and iOS previewing features.

Source
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