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Datadog vs Apache Spark MLlib

Datadog logo

Datadog

Technology

Modern monitoring & security

From
$15/month
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning & Data Science

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: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; 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: Datadog covers Infrastructure monitoring, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Datadog and Apache Spark MLlib differ
AttributeDatadogApache Spark MLlib
Starting price$15/monthFree
Pricing modelUnknownopen-source
Free tierNoYes
PlatformsWeb, Linux, Windows, macOSLinux, macOS, Windows
CategoryTechnologyMachine Learning & Data Science
Founded20101999

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 Datadog

  • Infrastructure monitoring
  • Application performance monitoring
  • Log management
  • Real user monitoring
  • Synthetic monitoring
  • Security monitoring
  • Network monitoring
  • Serverless monitoring

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.

Datadog

  • Infrastructure monitoringnot Apache Spark MLlib
  • Application performancenot Apache Spark MLlib
  • Security monitoringnot Apache Spark MLlib
  • Log analysisnot Apache Spark MLlib
  • Cloud monitoringnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

Datadog

  • Consumption-based pricing model makes costs hard to predict and can scale quickly
  • Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
  • No free tier for production monitoring
  • High costs for organizations with large amounts of log data or high-cardinality metrics

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

Datadog

$15/month
  • Infrastructure Monitoring$15/month
    • Host monitoring
    • Basic dashboards
  • APM$31/month
    • Application performance monitoring
    • Trace collection
  • Log Management$0.1/gb
    • Log indexing
    • Search and filter

Apache Spark MLlib

Free

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

Which should you pick?

Choose Datadog if

  • You need infrastructure monitoring.
  • You work on Web, Linux, Windows, macOS.
  • You also want application performance monitoring.
Datadog 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 Datadog or Apache Spark MLlib better?
Neither clearly leads. Datadog starts at $15/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, Datadog or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Apache Spark MLlib.
Does Datadog or Apache Spark MLlib run on more platforms?
Datadog runs on Web, Linux, Windows, macOS. 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. Datadog starts at $15/month.
What is Datadog best used for?
Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Apache Spark MLlib is typically brought in for.
What can Datadog do that Apache Spark MLlib cannot?
Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Datadog: How is Datadog pricing structured?

Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.

Source
Datadog: Does Datadog offer a free tier?

Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.

Source
Datadog: What integrations does Datadog support?

Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.

Source
Datadog: Can Datadog monitor Kubernetes clusters?

Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.

Source
Datadog: How can I reduce Datadog costs?

Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.

Source
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