Softwr

AI · head to head

Amazon Q Developer vs AWS SageMaker

Amazon Q Developer logo

Amazon Q Developer

AI

Generative AI assistant for coding, testing, and AWS development

From
Free
Rated
-
AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-

The short version

  • Each has a real cost: Amazon Q Developer deepest value and AWS-specific expertise is tied to the AWS ecosystem, less compelling for non-AWS shops; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • They diverge on capability: Amazon Q Developer covers Code generation, AWS SageMaker covers Jupyter notebooks.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Amazon Q Developer and AWS SageMaker actually diverge.

Attributes where Amazon Q Developer and AWS SageMaker differ
AttributeAmazon Q DeveloperAWS SageMaker
Pricing modelfreemiumUnknown
Platformsweb, windows, mac, linux, apiWeb
CategoryAIMachine Learning
FoundedUnknown2006

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 Amazon Q Developer

  • Code generation
  • Agentic task automation
  • Security scanning
  • Application transformation
  • AWS expertise
  • Private code customization
  • Admin governance dashboard
  • IP indemnity protection

Only in AWS SageMaker

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

What people use each for

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

Amazon Q Developer

  • AI-assisted code completion in an IDEnot AWS SageMaker
  • Automating Java and .NET application upgradesnot AWS SageMaker
  • Scanning codebases for security vulnerabilitiesnot AWS SageMaker
  • Getting AWS architecture guidance while codingnot AWS SageMaker
  • Automating feature implementation via agentsnot AWS SageMaker

AWS SageMaker

  • Machine learningnot Amazon Q Developer
  • Data analysisnot Amazon Q Developer
  • Model trainingnot Amazon Q Developer
  • Predictive analyticsnot Amazon Q Developer

Where each one falls short

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

Amazon Q Developer

  • Deepest value and AWS-specific expertise is tied to the AWS ecosystem, less compelling for non-AWS shops
  • Free tier caps agentic requests at 50 per month, which can be exhausted quickly on larger tasks
  • Additional transformation usage beyond plan limits is billed per line of code, adding unpredictable costs
  • GitHub and Eclipse integrations are still in preview, indicating incomplete platform coverage

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

Pricing, plan by plan

Amazon Q Developer

Free
  • FreeFree
    • 50 agentic requests per month
    • Access to latest Claude models
    • IDE and CLI use
  • Pro$19/month
    • Expanded agentic request limits
    • 4,000 lines of code per month per user for transformation, pooled at account level
    • Admin dashboard with user and policy management

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Which should you pick?

Choose Amazon Q Developer if

  • You need code generation.
  • You want to start without paying.
  • You work on web, windows, mac, linux, api.
  • You also want agentic task automation.

Choose AWS SageMaker if

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

Questions people ask

Is Amazon Q Developer or AWS SageMaker better?
Neither clearly leads. Amazon Q Developer starts at Free and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Q Developer or AWS SageMaker?
Amazon Q Developer starts at Free and AWS SageMaker at Free.
Does Amazon Q Developer or AWS SageMaker run on more platforms?
Amazon Q Developer runs on web, windows, mac, linux, api. AWS SageMaker runs on Web.
Can I use Amazon Q Developer for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Q Developer best used for?
Amazon Q Developer is most often used for ai-assisted code completion in an ide, automating java and .net application upgrades, scanning codebases for security vulnerabilities, getting aws architecture guidance while coding. Of those, ai-assisted code completion in an ide and automating java and .net application upgrades are not what AWS SageMaker is typically brought in for.
What can Amazon Q Developer do that AWS SageMaker cannot?
Amazon Q Developer covers Code generation, Agentic task automation, Security scanning, Application transformation. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.

Answered from the vendors’ own pages

Amazon Q Developer: What does Amazon Q Developer cost?

There is a free tier with no cost, and a Pro tier priced at $19 per user per month that adds expanded agentic request limits, admin controls, and IP indemnity.

Source
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
Amazon Q Developer: What are the limits on the free plan?

The free tier includes 50 agentic requests per month, access to the latest Claude models in IDE and CLI, and 1,000 lines of code per month for Java transformation.

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
Amazon Q Developer: How is usage metered beyond plan limits?

Java and .NET transformation usage beyond the plan's included lines of code is billed as overage at $0.003 per line of code submitted.

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
Amazon Q Developer: Can I cancel my Amazon Q Developer Pro subscription anytime?

Subscriptions are billed monthly per user and prorated in the first month, but canceling before the end of a billing month still incurs the full month's subscription fee.

Source
Amazon Q Developer: What counts as an agentic request?

Agentic requests include both question-and-answer chat interactions and autonomous coding tasks performed by Q Developer's agents, all drawn from the same monthly quota.

Source
Share

Related pages

Other head to heads