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AppDynamics vs Apache Spark MLlib

AppDynamics logo

AppDynamics

Logging

Enterprise Application Performance Management

From
$6/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: AppDynamics appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics; 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: AppDynamics covers Application performance monitoring, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where AppDynamics and Apache Spark MLlib differ
AttributeAppDynamicsApache Spark MLlib
Starting price$6/monthFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsWeb, ApiLinux, macOS, Windows
CategoryLoggingMachine Learning
Founded20081999

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 AppDynamics

  • Application performance monitoring
  • Distributed tracing
  • Real-time analytics
  • Alert management
  • API
  • Webhooks
  • REST
  • Web support

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.

AppDynamics

  • Application performance monitoring for Java, .NET and other enterprise application stacksnot Apache Spark MLlib
  • Business transaction tracing across distributed application tiersnot Apache Spark MLlib
  • Infrastructure monitoring priced per vCPUnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot AppDynamics
  • Data sciencenot AppDynamics
  • Distributed computingnot AppDynamics

Where each one falls short

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

AppDynamics

  • appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics
  • Infrastructure Edition starts at $6 per vCPU per month billed annually, so cost scales with core count rather than host count
  • Premium Edition starts at $33 per host per month and Enterprise Edition at $50 per host per month, both billed annually
  • The published figures are starting prices only, with volume pricing requiring a sales quote

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

AppDynamics

$6/month
  • Infrastructure Edition$6/month
    • Infrastructure monitoring
  • Premium Edition$33/month
    • Infrastructure monitoring
    • Applications
    • APM
  • Enterprise Edition$50/month
    • Premium Edition features
    • Business Analytics

Apache Spark MLlib

Free

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

Which should you pick?

Choose AppDynamics if

  • You need application performance monitoring.
  • You work on Web, Api.
  • You also want distributed tracing.
AppDynamics 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 AppDynamics or Apache Spark MLlib better?
Neither clearly leads. AppDynamics starts at $6/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, AppDynamics or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at $6/month for AppDynamics and Free for Apache Spark MLlib.
Does AppDynamics or Apache Spark MLlib run on more platforms?
AppDynamics runs on Web, Api. 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. AppDynamics starts at $6/month.
What is AppDynamics best used for?
AppDynamics is most often used for application performance monitoring for java, .net and other enterprise application stacks, business transaction tracing across distributed application tiers, infrastructure monitoring priced per vcpu. Of those, application performance monitoring for java, .net and other enterprise application stacks and business transaction tracing across distributed application tiers are not what Apache Spark MLlib is typically brought in for.
What can AppDynamics do that Apache Spark MLlib cannot?
AppDynamics covers Application performance monitoring, Distributed tracing, Real-time analytics, Alert management. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

AppDynamics: How is AppDynamics priced?

AppDynamics uses a subscription model based on vCPU usage, billed annually. Infrastructure Edition starts at $6 per vCPU/month, Premium Edition at $33 per vCPU/month, and Enterprise Edition at $50 per vCPU/month. Additional capabilities like Secure Application, Real User Monitoring, and Synthetics have separate per-unit pricing.

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
AppDynamics: What add-on costs does AppDynamics charge?

Secure Application costs $13.75 per CPU core per month (billed annually). Real User Monitoring is $0.06 per 1000 tokens per month. Browser Synthetics costs $12 per test location per month. SAP Solutions monitoring is $95 per CPU core per month.

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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