Softwr

Machine Learning · head to head

LlamaIndex vs Rowy

LlamaIndex logo

LlamaIndex

Machine Learning

Data framework for LLM applications

From
Free
Rated
-
Full reviewWebsite
Rowy logo

Rowy

Spreadsheets

Spreadsheet interface for Google Cloud Firestore with cloud functions written in the browser

From
Free
Rated
-
Full reviewWebsite

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; Rowy every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
  • They diverge on capability: LlamaIndex covers Data connectors, Rowy covers Firestore backed grid.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which LlamaIndex and Rowy actually diverge.

Attributes where LlamaIndex and Rowy differ
AttributeLlamaIndexRowy
Pricing modelusage-basedOpen source, no licence fee
PlatformsLinux, Mac, WindowsWeb
CategoryMachine LearningSpreadsheets
Founded2022Unknown

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 Rowy

  • Firestore backed grid
  • Browser authored cloud functions
  • Typed columns
  • Runs in your Google Cloud project
  • Role based access
  • Form view
  • Open source

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

Rowy

  • A Firebase application that needs an internal admin interface without building onenot LlamaIndex
  • Operations staff correcting production records in Firestore without developer involvementnot LlamaIndex
  • Attaching a small transformation or notification function to a field change without a full deployment pipelinenot LlamaIndex
  • A content team populating documents that a mobile application reads directly from Firestorenot 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

Rowy

  • Every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
  • Firestore has no joins, so linking tables in the grid is a convenience layer rather than a relational feature and reports across collections still need a separate query.
  • It is useful only to teams already on Firebase, so choosing it effectively locks the operational tooling to one cloud vendor.
  • Query costs are billed by document read, and an unfiltered grid on a large collection can generate a bill that a spreadsheet user has no intuition for.
  • Development activity has slowed relative to the broader category, so evaluate current maintenance before making it load bearing for internal operations.

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

Rowy

Free
  • Open source self hostedFree
    • No licence fee
    • Deploys into your own Google Cloud project
    • You pay Google Cloud for Firestore reads, writes and storage

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.
LlamaIndex review

Choose Rowy if

  • You need firestore backed grid.
  • You want to start without paying.
  • You also want browser authored cloud functions.
Rowy review

Questions people ask

Is LlamaIndex or Rowy better?
Neither clearly leads. LlamaIndex starts at Free and Rowy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LlamaIndex or Rowy?
LlamaIndex starts at Free and Rowy at Free.
Does LlamaIndex or Rowy run on more platforms?
LlamaIndex runs on Linux, Mac, Windows. Rowy runs on Web.
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 Rowy is typically brought in for.
What can LlamaIndex do that Rowy cannot?
LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project.

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
Rowy: Where is my data stored?

In your own Firestore instance inside your own Google Cloud project. Rowy does not hold a copy.

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
Rowy: What does it cost to run?

No licence fee. You pay Google Cloud for Firestore reads, writes, storage and function invocations, and an open grid on a big collection reads a lot.

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
Rowy: Can it do joins across collections?

Not really. Firestore does not support joins, and no interface layer can add them.

Rowy: Is there a row limit?

Not from Rowy. The limits that bite are Firestore document size and per document write throughput.

Rowy: Is it suitable if I am not on Firebase?

No. It is specifically a Firestore interface.

Share

Related pages

More on LlamaIndex

More on Rowy

Keep looking

Other head to heads