Softwr

Software · head to head

LlamaIndex vs Azure Machine Learning

LlamaIndex logo

LlamaIndex

Software

Data framework for LLM applications

From
Free
Rated
-
Azure Machine Learning logo

Azure Machine Learning

Software

Enterprise-grade machine learning service

From
Free
Rated
-

The short version

  • Each has a real cost: LlamaIndex the free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
  • They diverge on capability: LlamaIndex covers Data connectors, Azure Machine Learning covers Automated ML.

Where they differ

Only the attributes on which LlamaIndex and Azure Machine Learning actually diverge.

Attributes where LlamaIndex and Azure Machine Learning differ
AttributeLlamaIndexAzure Machine Learning
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, WindowsAzure Cloud
Founded20221975

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 LlamaIndex

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

Only in Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

What people use each for

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

LlamaIndex

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

Azure Machine Learning

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

Where each one falls short

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

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

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

Pricing, plan by plan

LlamaIndex

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

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

Which should you pick?

Choose LlamaIndex if

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

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).

Questions people ask

Is LlamaIndex or Azure Machine Learning better?
Neither clearly leads. LlamaIndex starts at Free and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LlamaIndex or Azure Machine Learning?
LlamaIndex starts at Free and Azure Machine Learning at Free.
Does LlamaIndex or Azure Machine Learning run on more platforms?
LlamaIndex runs on Linux, Mac, Windows. Azure Machine Learning runs on Azure Cloud.
Can I use LlamaIndex for free?
Both have a free tier, so you can try either at no cost before committing.
What is LlamaIndex best used for?
LlamaIndex is most often used for parsing pdfs and complex documents into structured text for rag, building retrieval augmented generation pipelines over private data, indexing and querying enterprise documents from an llm application. Of those, parsing pdfs and complex documents into structured text for rag and building retrieval augmented generation pipelines over private data are not what Azure Machine Learning is typically brought in for.
What can LlamaIndex do that Azure Machine Learning cannot?
LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source

Related pages

Other head to heads