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FireHydrant vs Apache Spark MLlib

FireHydrant logo

FireHydrant

Logging

All-in-one incident management for alerting, on-call, and response

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: FireHydrant free tier has limited functionality with only 2 runbooks; 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: FireHydrant covers Automated runbooks, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where FireHydrant and Apache Spark MLlib differ
AttributeFireHydrantApache Spark MLlib
Pricing modelsubscriptionopen-source
PlatformsWeb, Slack, Microsoft Teams, MobileLinux, macOS, Windows
CategoryLoggingMachine Learning
Founded20181999

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 FireHydrant

  • Automated runbooks
  • On-call management
  • Service catalog
  • Incident response collaboration
  • AI incident insights
  • Status pages
  • AI retrospectives

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.

FireHydrant

  • Manage incidents directly from Slack or Teamsnot Apache Spark MLlib
  • Automate incident response with runbooksnot Apache Spark MLlib
  • Triage incidents and track ownershipnot Apache Spark MLlib
  • Run post-incident retrospectivesnot Apache Spark MLlib
  • Communicate incidents to customers automaticallynot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot FireHydrant
  • Data sciencenot FireHydrant
  • Distributed computingnot FireHydrant

Where each one falls short

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

FireHydrant

  • Free tier has limited functionality with only 2 runbooks
  • Pro plan billing is annual-only (no monthly option)
  • AI features concentrated in Enterprise tier
  • Pricing per responder can increase with team size

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

FireHydrant

Free
  • FreeFree
    • Up to 10 responders
    • 2 runbooks
    • Slack and Teams chatbot
  • Pro$25/responder-month
    • 5 runbooks
    • Slack and Teams chatbot
    • 1 retrospective template
  • Enterprise$undefined/custom
    • Everything in Pro plus
    • Viewer licenses
    • Unlimited runbooks

Apache Spark MLlib

Free

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

Which should you pick?

Choose FireHydrant if

  • You need automated runbooks.
  • You want to start without paying.
  • You work on Web, Slack, Microsoft Teams, Mobile.
  • You also want on-call management.
FireHydrant 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 FireHydrant or Apache Spark MLlib better?
Neither clearly leads. FireHydrant 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, FireHydrant or Apache Spark MLlib?
FireHydrant starts at Free and Apache Spark MLlib at Free.
Does FireHydrant or Apache Spark MLlib run on more platforms?
FireHydrant runs on Web, Slack, Microsoft Teams, Mobile. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use FireHydrant for free?
Both have a free tier, so you can try either at no cost before committing.
What is FireHydrant best used for?
FireHydrant is most often used for manage incidents directly from slack or teams, automate incident response with runbooks, triage incidents and track ownership, run post-incident retrospectives. Of those, manage incidents directly from slack or teams and automate incident response with runbooks are not what Apache Spark MLlib is typically brought in for.
What can FireHydrant do that Apache Spark MLlib cannot?
FireHydrant covers Automated runbooks, On-call management, Service catalog, Incident response collaboration. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

FireHydrant: What is included in the free FireHydrant plan?

The free plan supports up to 10 responders, includes 2 runbooks, Slack and Teams chatbot, 1 public status page, and basic integrations (3).

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
FireHydrant: How much does FireHydrant Pro cost?

FireHydrant Pro costs $25 per responder per month, billed annually. This includes 5 runbooks, unlimited status pages, and all core incident management features.

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
FireHydrant: Can I pay monthly for FireHydrant Pro?

No, the Pro plan requires annual billing to get the $25/responder/month rate. Contact sales for enterprise monthly billing options.

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
FireHydrant: What AI features does FireHydrant offer?

FireHydrant AI is available in Enterprise plan and includes automated incident summaries, status page updates, live video transcription from Zoom and Google Meet, and triage assistance.

Source
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