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Machine Learning · head to head

AWS SageMaker vs Elastic Stack

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Elastic Stack logo

Elastic Stack

Logging

Search, Observability, and Security Solutions

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Elastic Stack self-managed deployment requires licensing based on node count and RAM usage
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Elastic Stack covers Full-text search.

Where they differ

Only the attributes on which AWS SageMaker and Elastic Stack actually diverge.

Attributes where AWS SageMaker and Elastic Stack differ
AttributeAWS SageMakerElastic Stack
Starting priceFreeOn request
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsWebCloud-hosted, Self-managed, Docker, Kubernetes (ECK)
CategoryMachine LearningLogging
Founded20062011

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in Elastic Stack

  • Full-text search
  • Log analytics
  • Security monitoring
  • Alerting
  • API
  • Webhooks
  • REST
  • Api support

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

AWS SageMaker

  • Machine learningnot Elastic Stack
  • Data analysisnot Elastic Stack
  • Model trainingnot Elastic Stack
  • Predictive analyticsnot Elastic Stack

Elastic Stack

  • Distributed search and analytics engine for production-scale workloadsnot AWS SageMaker
  • Full-text search and vector search with approximate nearest neighbour supportnot AWS SageMaker
  • Security event tracking with field-level and document-level access controlnot AWS SageMaker
  • Machine learning capabilities including anomaly detection and forecastingnot AWS SageMaker

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

Elastic Stack

  • Self-managed deployment requires licensing based on node count and RAM usage
  • Serverless option has pending features including traffic filtering and bring-your-own-key encryption
  • Hosted deployment requires custom resource configuration for cluster management
  • Pricing models differ significantly across Hosted, Serverless, and Self-managed options

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Elastic Stack

On request

No published plan breakdown. See the Elastic Stack review.

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose Elastic Stack if

  • You need full-text search.
  • You work on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK).
  • You also want log analytics.
Elastic Stack review

Questions people ask

Is AWS SageMaker or Elastic Stack better?
Neither clearly leads. AWS SageMaker starts at Free and Elastic Stack at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Elastic Stack?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and On request for Elastic Stack.
Does AWS SageMaker or Elastic Stack run on more platforms?
AWS SageMaker runs on Web. Elastic Stack runs on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK).
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Elastic Stack starts at On request.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Elastic Stack is typically brought in for.
What can AWS SageMaker do that Elastic Stack cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Elastic Stack covers Full-text search, Log analytics, Security monitoring, Alerting. Both handle Web support.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

Source
Elastic Stack: How much does Elastic Stack cost?

Elastic does not publish specific pricing on the Elastic Stack product page. Users can start a 14-day free trial with no credit card required, but ongoing subscription pricing requires contacting their sales team.

Source
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

Source
Elastic Stack: What deployment options are available for Elastic Stack?

Users can deploy Elastic Stack on Elastic Cloud (hosted on AWS, Google Cloud, or Azure) or download it for self-managed deployment. Pricing for managed cloud hosting must be obtained by starting a trial or contacting sales.

Source
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
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