What users are saying about
Top Rated
312 Ratings
34 Ratings
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Score 8.2 out of 100
Top Rated
312 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.9 out of 100

Feature Set Ratings

    Platform-as-a-Service

    Amazon SageMaker

    Feature Set Not Supported
    N/A
    8.6

    AWS Lambda

    86%
    AWS Lambda ranks higher in 11/11 features

    Ease of building user interfaces

    N/A
    0 Ratings
    7.9
    79%
    24 Ratings

    Scalability

    N/A
    0 Ratings
    9.3
    93%
    48 Ratings

    Platform management overhead

    N/A
    0 Ratings
    8.7
    87%
    44 Ratings

    Workflow engine capability

    N/A
    0 Ratings
    8.6
    86%
    40 Ratings

    Platform access control

    N/A
    0 Ratings
    8.1
    81%
    43 Ratings

    Services-enabled integration

    N/A
    0 Ratings
    8.9
    89%
    47 Ratings

    Development environment creation

    N/A
    0 Ratings
    8.5
    85%
    42 Ratings

    Development environment replication

    N/A
    0 Ratings
    8.5
    85%
    40 Ratings

    Issue monitoring and notification

    N/A
    0 Ratings
    8.6
    86%
    44 Ratings

    Issue recovery

    N/A
    0 Ratings
    8.6
    86%
    36 Ratings

    Upgrades and platform fixes

    N/A
    0 Ratings
    9.0
    90%
    37 Ratings

    Attribute Ratings

    • Amazon SageMaker is rated higher in 1 area: Likelihood to Recommend

    Likelihood to Recommend

    9.3

    Amazon SageMaker

    93%
    6 Ratings
    8.9

    AWS Lambda

    89%
    48 Ratings

    Usability

    Amazon SageMaker

    N/A
    0 Ratings
    9.0

    AWS Lambda

    90%
    13 Ratings

    Support Rating

    Amazon SageMaker

    N/A
    0 Ratings
    8.6

    AWS Lambda

    86%
    33 Ratings

    Likelihood to Recommend

    Amazon SageMaker

    Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
    Thomas Young | TrustRadius Reviewer

    AWS Lambda

    [AWS Lambda] is very well suited for the projects that doesn't have any infra but needs it where short running processes are required. But if your application need to run continuously than this might not be the very apt tool for you.
    Ojas Elawadhi | TrustRadius Reviewer

    Pros

    Amazon SageMaker

    • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
    • Customization and easy to alter and change.
    • If you already are an Amazon user, you do not need to transition over to another software.
    Anonymous | TrustRadius Reviewer

    AWS Lambda

    • Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
    • The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
    • Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.
    Michael Jenkins | TrustRadius Reviewer

    Cons

    Amazon SageMaker

    • The UI can be eased up a bit for use by business analysts and non technical users
    • For huge amount of data pull from legacy solutions, the platform lags a bit
    • Considering ML is an emerging topic and would be used by most of the organizations in future, the pipeline integrations can be optimized
    Anonymous | TrustRadius Reviewer

    AWS Lambda

    • Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
    • While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
    • AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.
    Benjamin Plotkin | TrustRadius Reviewer

    Pricing Details

    Amazon SageMaker

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    Amazon SageMaker Editions & Modules

    Additional Pricing Details

    AWS Lambda

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $2.1e-9 Per 1 ms

    AWS Lambda Editions & Modules

    Edition
    128 MB$0.00000000211
    1024 MB$0.00000001671
    10240 MB$0.00000016671
    1. Per 1 ms
    Additional Pricing Details

    Usability

    Amazon SageMaker

    No score
    No answers yet
    No answers on this topic

    AWS Lambda

    AWS Lambda 9.0
    Based on 13 answers
    I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
    Anonymous | TrustRadius Reviewer

    Support Rating

    Amazon SageMaker

    No score
    No answers yet
    No answers on this topic

    AWS Lambda

    AWS Lambda 8.6
    Based on 33 answers
    I have not needed support for AWS Lambda, since it is already using Python, which has resources all over the internet. AWS blog posts have information about how to install some libraries, which is necessary for some more complex operations, but this is available online and didn't require specific customer support for.
    Anonymous | TrustRadius Reviewer

    Alternatives Considered

    Amazon SageMaker

    Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you use it, so it becomes less costly compared to others.
    Anonymous | TrustRadius Reviewer

    AWS Lambda

    Azure Functions is another product that provides lambda functionality, but the documentation for some of Azure's products is quite hard to read. Additionally, AWS Lambda was one of the first cloud computing products on a large cloud service that implemented lambda functions, so they have had the most time to develop the product, increase the quality of service, and extend functionality to more languages. Amazon, by far, has the best service for Lambda that I know.
    Fedor Paretsky | TrustRadius Reviewer

    Return on Investment

    Amazon SageMaker

    • 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.
    Gavin Hackeling | TrustRadius Reviewer

    AWS Lambda

    • I was able to perform a lot of processing on data delivered from my website and little or no cost. This was a big plus to me.
    • Programming AWS Lambda is quite easy once you understand the time limits to the functions.
    • AWS Lambda has really good integration with the AWS S3 storage system. This a very good method of delivering data to be processed and a good place to pick it up after processing.
    Anonymous | TrustRadius Reviewer

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