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CloudWatch vs Apache Spark MLlib

CloudWatch logo

CloudWatch

Logging

AWS Monitoring and Observability

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: CloudWatch the free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB; 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: CloudWatch covers Metrics collection, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where CloudWatch and Apache Spark MLlib differ
AttributeCloudWatchApache Spark MLlib
Pricing modelusage-basedopen-source
PlatformsWeb, ApiLinux, macOS, Windows
CategoryLoggingMachine Learning
Founded20061999

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 CloudWatch

  • Metrics collection
  • Log aggregation
  • Dashboards
  • Alarms and notifications
  • 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.

CloudWatch

  • Metrics and log collection for AWS workloadsnot Apache Spark MLlib
  • Alarming on thresholds across AWS servicesnot Apache Spark MLlib
  • Querying logs with Logs Insightsnot Apache Spark MLlib
  • Live tailing logs during an incidentnot Apache Spark MLlib
  • Distributed tracing alongside X-Raynot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot CloudWatch
  • Data sciencenot CloudWatch
  • Distributed computingnot CloudWatch

Where each one falls short

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

CloudWatch

  • The free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB
  • Custom metrics are $0.30 each for the first 10,000, so instrumenting broadly gets expensive before volume discounts apply
  • Each custom dashboard beyond the free three is $3 a month
  • Alarms are billed at $0.10 per alarm metric a month, with high-resolution alarms costing more
  • Log storage beyond the free 5 GB is $0.03 per GB per month on top of the ingestion charge

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

CloudWatch

Free
  • Pay-as-you-goFree
    • Logs ingestion: $0.50/GB (first 5GB free), down to $0.05/GB at scale
    • Logs storage: $0.03/GB/month
    • Live Tail: $0.01/minute after 1,800 free minutes
  • Free tierFree
    • 5GB logs ingestion per month
    • 10 custom metrics
    • 3 custom dashboards

Apache Spark MLlib

Free

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

Which should you pick?

Choose CloudWatch if

  • You need metrics collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want log aggregation.
CloudWatch 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 CloudWatch or Apache Spark MLlib better?
Neither clearly leads. CloudWatch 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, CloudWatch or Apache Spark MLlib?
CloudWatch starts at Free and Apache Spark MLlib at Free.
Does CloudWatch or Apache Spark MLlib run on more platforms?
CloudWatch runs on Web, Api. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use CloudWatch for free?
Both have a free tier, so you can try either at no cost before committing.
What is CloudWatch best used for?
CloudWatch is most often used for metrics and log collection for aws workloads, alarming on thresholds across aws services, querying logs with logs insights, live tailing logs during an incident. Of those, metrics and log collection for aws workloads and alarming on thresholds across aws services are not what Apache Spark MLlib is typically brought in for.
What can CloudWatch do that Apache Spark MLlib cannot?
CloudWatch covers Metrics collection, Log aggregation, Dashboards, Alarms and notifications. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

CloudWatch: How much does Amazon CloudWatch cost?

CloudWatch uses pay-as-you-go pricing with no upfront commitment. Logs ingestion costs $0.50/GB (first 5GB free), logs storage is $0.03/GB/month, custom metrics cost $0.30/metric/month (first 10,000), custom dashboards are $3/month, and standard alarms are $0.10/metric/month.

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
CloudWatch: Does CloudWatch offer a free tier?

Yes, CloudWatch free tier includes 5GB logs ingestion, 10 custom metrics, 3 custom dashboards, and 10 alarm metrics per month at no charge. Usage beyond these limits incurs pay-as-you-go fees.

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
CloudWatch: What are CloudWatch's pricing tiers for high-volume usage?

CloudWatch offers tiered pricing with volume discounts: logs ingestion starts at $0.50/GB and decreases to $0.05/GB at higher volumes; custom metrics start at $0.30/metric/month and decline to $0.05 at higher volumes; Application Signals cost $1.50 per million traces initially, declining to $0.30.

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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