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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon SageMaker

    Score8.3 out of 10
    N/AAmazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.N/A

    AWS Fargate

    Score9.3 out of 10
    N/AAWS Fargate is a compute engine for Amazon ECS that allows the user to run containers without having to manage servers or clusters. With AWS Fargate there is no need to provision, configure, and scale clusters of virtual machines to run containers.

    $0

    *per hour

    Pricing
    Amazon SageMakerAWS Fargate
    Editions & Modules
    No answers on this topic
    Fargate Spot per GB
    $0.00138679
    *per hour
    per GB
    $0.004445
    *per hour
    Fargate Spot per vCPU
    $0.01262932
    *per hour
    per vCPU
    $0.04048
    *per hour
    Offerings
    Pricing Offerings
    Amazon SageMakerAWS Fargate
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—*based on US East rates. Price varies region to region.
    More Pricing Information
    Features
    Amazon SageMakerAWS Fargate
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Amazon SageMaker and AWS Fargate
    Feature
    Amazon SageMaker
    -
    Ratings
    AWS Fargate
    8.9
    2 Ratings
    10% above category average
    Service-level Agreement (SLA) uptime00 Ratings10.02 Ratings
    Dynamic scaling00 Ratings10.02 Ratings
    Elastic load balancing00 Ratings10.02 Ratings
    Pre-configured templates00 Ratings7.02 Ratings
    Monitoring tools00 Ratings10.02 Ratings
    Pre-defined machine images00 Ratings8.01 Ratings
    Operating system support00 Ratings8.02 Ratings
    Security controls00 Ratings8.02 Ratings
    Automation00 Ratings9.02 Ratings
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    User Ratings
    Amazon SageMakerAWS Fargate
    Likelihood to Recommend
    9.0
    (5 ratings)
    10.0
    (2 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Amazon SageMakerAWS Fargate
    Likelihood to Recommend
    Amazon AWS
    It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
    Incentivized
    Read full review
    Amazon AWS
    If you need to deploy Docker containers, Amazon Fargate is a very good fit. It integrates very well with other AWS services like RDS, EFS, and Secrets manager. You can have a very robust application using those services. In case you have many containers to deploy, it is however more expensive
    that if you use other services like ECS or EKS, since they allow you to
    share the same infrastructure to deploy multiple containers.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • Machine Learning at scale by deploying huge amount of training data
    • Accelerated data processing for faster outputs and learnings
    • Kubernetes integration for containerized deployments
    • Creating API endpoints for use by technical users
    Incentivized
    Read full review
    Amazon AWS
    • scalability
    • ease of use
    • agility to up or downsize
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
    • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
    Incentivized
    Read full review
    Amazon AWS
    • can't think of any
    Incentivized
    Read full review
    Usability
    Amazon AWS
    No answers on this topic
    Amazon AWS
    It's a very practical service to use. If you need to deploy any application with a Database, disk storage, you're pretty much set.
    Everything around that can be taken care of using other AWS services. Like secrets manager, certificate manager, RDS ...
    And the CI/CD part is also very easy to setup, you only need on AWS CLI command to trigger a deployment, and done !
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    No answers on this topic
    Amazon AWS
    AWS provides different support tiers. They are usually very reactive and are able to help solve the issues very quickly.
    As for everything, the higher the support tier you get, the better and faster support you get.
    If you're also a part of big company, you probably have solution architects at your disposal to help you with any inqueries.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
    Incentivized
    Read full review
    Amazon AWS
    We found the extra cost saved us frustration and time and ultimately money in the long run
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Amazon AWS
    No answers on this topic
    Amazon AWS
    Pricing and billing of AWS Fargate is loosely tied to your exisiting AWS billing. You're unlikely to only use Fargate in your AWS subscription, so you get billed for everything alltoghter.
    Fargate is naturally a bit more expensive that usuel docker services, but with careful planning and architecturing, you can have a very manageable cost.
    You can also rely on Saving plans to reduce your bill.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
    • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
    • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
    Incentivized
    Read full review
    Amazon AWS
    • easier to optimize our computer costs
    • transition from server to serverless was easier once we decided to adopt Fargate
    Incentivized
    Read full review
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