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Augment Code vs Apache Spark MLlib

Augment Code logo

Augment Code

Software Development

Agentic software development at organizational scale

From
$100/month
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: Augment Code enterprise requires custom pricing negotiation; 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 Augment Code and Apache Spark MLlib actually diverge.

Attributes where Augment Code and Apache Spark MLlib differ
AttributeAugment CodeApache Spark MLlib
Starting price$100/monthFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsWebLinux, 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 Augment Code

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.

Augment Code

  • AI-powered code completionnot Apache Spark MLlib
  • Development tool integrationnot Apache Spark MLlib
  • Enterprise software developmentnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot Augment Code
  • Data sciencenot Augment Code
  • Distributed computingnot Augment Code

Where each one falls short

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

Augment Code

  • Enterprise requires custom pricing negotiation
  • Usage allowance only covers $100/month; overages charge 40% service fee on provider rates

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

Augment Code

$100/month
  • Business$100/month
    • Up to 50 seats
    • $100 monthly usage allowance
    • Cosmos access
  • Enterprise$null/month
    • Custom pricing
    • Custom user pricing and usage limits
    • Unlimited concurrent sessions

Apache Spark MLlib

Free

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

Which should you pick?

Choose Augment Code if

Nothing in the data separates Augment Code from Apache Spark MLlib on the points above - pick on price and on how each one feels to use.

Augment Code 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 Augment Code or Apache Spark MLlib better?
Neither clearly leads. Augment Code starts at $100/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, Augment Code or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at $100/month for Augment Code and Free for Apache Spark MLlib.
Does Augment Code or Apache Spark MLlib run on more platforms?
Augment Code runs on 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. Augment Code starts at $100/month.
What is Augment Code best used for?
Augment Code is most often used for ai-powered code completion, development tool integration, enterprise software development. Of those, ai-powered code completion and development tool integration are not what Apache Spark MLlib is typically brought in for.
What can Augment Code do that Apache Spark MLlib cannot?
Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Augment Code: How much does Augment Code Business plan cost?

Augment Code Business plan is $100 per month with no per-seat charges, includes up to 50 seats, and provides $100 in monthly usage allowance pooled across the team.

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
Augment Code: How does Augment Code usage billing work?

The Business plan includes $100 monthly usage measured in dollars across LLM inference (billed at provider rates plus 40% service fee) and compute time. Usage is pooled across the entire team. Top-ups expire 12 months after purchase.

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
Augment Code: What does Augment Code Enterprise include?

Enterprise plan includes all Business features plus custom user pricing, bespoke usage limits, volume-based annual discounts, unlimited concurrent sessions, multi-region compute, custom compute size, SSO/OIDC/SCIM support, and CMEK and ISO 42001 compliance.

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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