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Machine Learning · head to head

LlamaIndex vs Redash

LlamaIndex logo

LlamaIndex

Machine Learning

Data framework for LLM applications

From
Free
Rated
-
Redash logo

Redash

Spreadsheets

Connect and visualize your data

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; Redash pricing model not disclosed on dedicated pricing page
  • They diverge on capability: LlamaIndex covers Data connectors, Redash covers SQL Query Editor.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which LlamaIndex and Redash actually diverge.

Attributes where LlamaIndex and Redash differ
AttributeLlamaIndexRedash
Pricing modelusage-basedfreemium
PlatformsLinux, Mac, WindowsWeb, Self-hosted, Cloud
CategoryMachine LearningSpreadsheets
Founded20222013

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 LlamaIndex

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

Only in Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

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 Redash
  • Building retrieval augmented generation pipelines over private datanot Redash
  • Indexing and querying enterprise documents from an LLM applicationnot Redash

Redash

  • Data visualization and business intelligence for analyticsnot LlamaIndex
  • Query result sharing and collaborative dashboard creationnot 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

Redash

  • Pricing model not disclosed on dedicated pricing page
  • Open-source offering may require self-hosting technical expertise
  • Managed hosting or commercial support pricing not published

Pricing, plan by plan

LlamaIndex

Free
  • FreeFree
    • 10K monthly credits
    • Basic parsing
    • 5 concurrent jobs
  • Starter$50/month
    • 40K credits + pay-as-you-go
    • Up to 400K credits
    • 5 concurrent jobs
  • Pro$500/month
    • 400K credits + limited-time bonus
    • 20 concurrent jobs
    • Priority Slack support
  • Enterprise$null/custom
    • Custom volume discounts
    • 5x higher rate limits
    • SSO

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • Support

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 Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.

Questions people ask

Is LlamaIndex or Redash better?
Neither clearly leads. LlamaIndex starts at Free and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LlamaIndex or Redash?
LlamaIndex starts at Free and Redash at Free.
Does LlamaIndex or Redash run on more platforms?
LlamaIndex runs on Linux, Mac, Windows. Redash runs on Web, Self-hosted, 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 Redash is typically brought in for.
What can LlamaIndex do that Redash cannot?
LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards.

Answered from the vendors’ own pages

LlamaIndex: How much does LlamaIndex (LlamaParse) cost?

LlamaIndex offers a Free plan with 10K monthly credits at $0/month. The Starter plan is $50/month for 40K credits plus pay-as-you-go overage up to 400K total. The Pro plan is $500/month for 400K credits. Credits are priced at 1,000 credits for $1.25.

Source
Redash: What is Redash's pricing?

Redash is a popular open-source project with no pricing tiers listed on the pricing page. The project emphasizes no vendor lock-in and community contribution. Paid managed hosting or commercial support options may be available but are not published on this page.

Source
LlamaIndex: Is LlamaIndex free?

Yes, LlamaIndex offers a free plan with 10K monthly credits, basic parsing, 5 concurrent jobs, and support for up to 100 users with no upfront payment required.

Source
LlamaIndex: What are LlamaIndex's concurrent job limits?

The Free and Starter plans allow 5 concurrent jobs. The Pro plan increases this to 20 concurrent jobs. Enterprise plans offer custom configurations with 5x higher rate limits.

Source
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