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Software · head to head

AWS SageMaker vs LlamaIndex

AWS SageMaker logo

AWS SageMaker

Software

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
LlamaIndex logo

LlamaIndex

Software

Data framework for LLM applications

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; LlamaIndex the free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, LlamaIndex covers Data connectors.

Where they differ

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

Attributes where AWS SageMaker and LlamaIndex differ
AttributeAWS SageMakerLlamaIndex
Pricing modelUnknownfreemium
PlatformsWebLinux, Mac, Windows
Founded20062022

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 LlamaIndex

  • Data connectors
  • Indexing
  • Query engine
  • RAG pipelines
  • Agents
  • OpenAI
  • Anthropic
  • Pinecone

What people use each for

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

AWS SageMaker

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

LlamaIndex

  • Parsing PDFs and complex documents into structured text for RAGnot AWS SageMaker
  • Building retrieval augmented generation pipelines over private datanot AWS SageMaker
  • Indexing and querying enterprise documents from an LLM applicationnot 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

LlamaIndex

  • The free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out
  • Concurrent parse jobs are capped at 5 on Free and Starter, 20 on Pro and 100 on Enterprise
  • Pay as you go spend is capped at $500 per month on Starter and $5,000 per month on Pro
  • Enterprise SSO is Enterprise plan only
  • Volume discounts on credits and 5x higher rate limits are Enterprise only
  • SaaS or hybrid cloud deployment choice and a dedicated account manager are Enterprise only
  • Enterprise pricing is by quote with no published rate

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

LlamaIndex

Free
  • Open SourceFree
    • Full framework
    • All connectors
  • LlamaCloudFree
    • Managed parsing
    • Enterprise features

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 LlamaIndex if

  • You need data connectors.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want indexing.
LlamaIndex review

Questions people ask

Is AWS SageMaker or LlamaIndex better?
Neither clearly leads. AWS SageMaker starts at Free and LlamaIndex at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or LlamaIndex?
AWS SageMaker starts at Free and LlamaIndex at Free.
Does AWS SageMaker or LlamaIndex run on more platforms?
AWS SageMaker runs on Web. LlamaIndex runs on Linux, Mac, Windows.
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 LlamaIndex is typically brought in for.
What can AWS SageMaker do that LlamaIndex cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines.

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
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
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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