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Machine Learning · head to head

AWS SageMaker vs Codacy

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Codacy logo

Codacy

Software Development

Automated code review platform for code quality and security scanning.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Codacy team plan is capped at 30 developers before Business pricing is required.
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Codacy covers Automated code review.

Where they differ

Only the attributes on which AWS SageMaker and Codacy actually diverge.

Attributes where AWS SageMaker and Codacy differ
AttributeAWS SageMakerCodacy
Pricing modelUnknownfreemium
PlatformsWebweb, api
CategoryMachine LearningSoftware Development
Founded2006Unknown

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 AWS SageMaker

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

Only in Codacy

  • Automated code review
  • Security scanning
  • IDE plugin
  • Merge gates
  • Coverage reports
  • Jira and Slack integration

What people use each for

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

AWS SageMaker

  • Machine learningnot Codacy
  • Data analysisnot Codacy
  • Model trainingnot Codacy
  • Predictive analyticsnot Codacy

Codacy

  • Automating pull request code reviewnot AWS SageMaker
  • Enforcing shared coding standards across teamsnot AWS SageMaker
  • Scanning for secrets and vulnerable dependenciesnot AWS SageMaker
  • Tracking test coverage over timenot AWS SageMaker
  • Blocking merges that fail quality gatesnot 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

Codacy

  • Team plan is capped at 30 developers before Business pricing is required.
  • Advanced security features like DAST and container scanning are Business-tier only.
  • Business plan pricing is not published and requires contacting sales.
  • Annual plans require 30 days' notice to modify or cancel before renewal.

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Codacy

Free
  • DeveloperFree
    • IDE plugin with real-time feedback
    • Security and quality scans
    • 38 languages supported
  • Team$18/month
    • Up to 30 developers
    • Up to 100 private repos, unlimited lines of code
    • AI Reviewer
  • Business$undefined/month
    • Unlimited private projects
    • Priority scan queue
    • DAST and container scanning

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 Codacy if

  • You need automated code review.
  • You want to start without paying.
  • You work on web, api.
  • You also want security scanning.
Codacy review

Questions people ask

Is AWS SageMaker or Codacy better?
Neither clearly leads. AWS SageMaker starts at Free and Codacy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Codacy?
AWS SageMaker starts at Free and Codacy at Free.
Does AWS SageMaker or Codacy run on more platforms?
AWS SageMaker runs on Web. Codacy runs on web, api.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
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 Codacy is typically brought in for.
What can AWS SageMaker do that Codacy cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Codacy covers Automated code review, Security scanning, IDE plugin, Merge gates.

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
Codacy: What does Codacy cost?

The Developer plan is free forever; Team starts at $18/dev/month billed yearly (or $21 monthly); Business is custom-priced for enterprise requirements.

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
Codacy: Is there a free plan, and what are its limits?

Yes, the Developer plan is free forever for individuals, including IDE feedback, scan-as-you-type, and security and quality scans across 38 languages.

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
Codacy: Can I try Codacy before paying?

Codacy offers a 14-day free trial with full platform access and no credit card required.

Source
Codacy: What does it integrate with?

Codacy integrates with GitHub, Bitbucket, and GitLab for cloud-hosted scans, plus Jira and Slack for team notifications.

Source
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