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Spreadsheets · head to head

Rowy vs Weaviate

Rowy logo

Rowy

Spreadsheets

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

From
Free
Rated
-
Full reviewWebsite
Weaviate logo

Weaviate

Machine Learning

Open-source vector database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • They diverge on capability: Rowy covers Firestore backed grid, Weaviate covers Vector and keyword search.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Rowy and Weaviate actually diverge.

Attributes where Rowy and Weaviate differ
AttributeRowyWeaviate
Pricing modelOpen source, no licence feefreemium
PlatformsWebLinux, Mac, Windows, Web
CategorySpreadsheetsMachine Learning
FoundedUnknown2019

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 Rowy

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

Only in Weaviate

  • Vector and keyword search
  • Built-in vectorizers
  • GraphQL API
  • Multi-tenancy
  • Hybrid search
  • OpenAI
  • Hugging Face
  • Cohere

What people use each for

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

Rowy

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

Weaviate

  • Running a vector database for semantic and hybrid searchnot Rowy
  • Generating and storing embeddings alongside the objects they describenot Rowy

Where each one falls short

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

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.

Weaviate

  • The free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
  • Premium is a prepaid contract starting at $400 a month rather than pay as you go
  • Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
  • The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond

Pricing, plan by plan

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

Weaviate

Free
  • Open SourceFree
    • Full features
    • Self-hosted
  • ServerlessFree
    • Managed service
    • Auto-scaling

Which should you pick?

Choose Rowy if

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

Choose Weaviate if

  • You need vector and keyword search.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want built-in vectorizers.
Weaviate review

Questions people ask

Is Rowy or Weaviate better?
Neither clearly leads. Rowy starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Rowy or Weaviate?
Rowy starts at Free and Weaviate at Free.
Does Rowy or Weaviate run on more platforms?
Rowy runs on Web. Weaviate runs on Linux, Mac, Windows, Web.
Can I use Rowy for free?
Both have a free tier, so you can try either at no cost before committing.
What is Rowy best used for?
Rowy is most often used for a firebase application that needs an internal admin interface without building one, operations staff correcting production records in firestore without developer involvement, attaching a small transformation or notification function to a field change without a full deployment pipeline, a content team populating documents that a mobile application reads directly from firestore. Of those, a firebase application that needs an internal admin interface without building one and operations staff correcting production records in firestore without developer involvement are not what Weaviate is typically brought in for.
What can Rowy do that Weaviate cannot?
Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.

Answered from the vendors’ own pages

Rowy: Where is my data stored?

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

Weaviate: What pricing options does Weaviate offer?

Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.

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.

Weaviate: Does Weaviate offer customer support?

Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.

Source
Rowy: Can it do joins across collections?

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

Weaviate: Can I deploy Weaviate on my own infrastructure?

Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.

Source
Rowy: Is there a row limit?

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

Weaviate: What data security features does Weaviate provide?

Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.

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

No. It is specifically a Firestore interface.

Weaviate: How do I get started with Weaviate?

Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.

Source
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