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Databases · head to head

NATS vs Rowy

NATS logo

NATS

Databases

High-performance messaging system for cloud-native applications

From
Free
Rated
-
Rowy logo

Rowy

Spreadsheets

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

From
Free
Rated
-

The short version

  • Each has a real cost: NATS core NATS has no persistence at all, so messages are lost if no subscriber is listening; 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: NATS covers Very low latency, Rowy covers Firestore backed grid.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which NATS and Rowy actually diverge.

Attributes where NATS and Rowy differ
AttributeNATSRowy
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb
CategoryDatabasesSpreadsheets

Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 NATS

  • Very low latency
  • JetStream
  • Single binary
  • Request-reply

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.

NATS

  • Service-to-service messaging where latency is the binding constraintnot Rowy
  • Edge and IoT messaging where a lightweight broker mattersnot Rowy
  • Replacing a heavier broker when the workload does not need its guaranteesnot Rowy

Rowy

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

Where each one falls short

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

NATS

  • Core NATS has no persistence at all, so messages are lost if no subscriber is listening
  • JetStream adds the durability but also the operational complexity NATS is chosen to avoid
  • A much smaller ecosystem than Kafka or RabbitMQ, with fewer connectors and integrations
  • Fewer people know it, so hiring and existing organisational knowledge favour the alternatives

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

NATS

Free
  • NATSFree
    • Full functionality
    • No usage limits
    • Community support

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 NATS if

  • You need very low latency.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want jetstream.

Choose Rowy if

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

Questions people ask

Is NATS or Rowy better?
Neither clearly leads. NATS 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, NATS or Rowy?
NATS starts at Free and Rowy at Free.
Does NATS or Rowy run on more platforms?
NATS runs on Linux, macOS, Windows, Docker, Kubernetes. Rowy runs on Web.
Can I use NATS for free?
Both have a free tier, so you can try either at no cost before committing.
What is NATS best used for?
NATS is most often used for service-to-service messaging where latency is the binding constraint, edge and iot messaging where a lightweight broker matters, replacing a heavier broker when the workload does not need its guarantees. Of those, service-to-service messaging where latency is the binding constraint and edge and iot messaging where a lightweight broker matters are not what Rowy is typically brought in for.
What can NATS do that Rowy cannot?
NATS covers Very low latency, JetStream, Single binary, Request-reply. Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project.

Answered from the vendors’ own pages

NATS: Is NATS free?

Yes, open source and CNCF-graduated. Synadia sells a managed service.

Rowy: Where is my data stored?

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

NATS: Does NATS persist messages?

Core NATS does not — it is fire-and-forget. JetStream adds persistence, streaming and replay when you need them.

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.

NATS: NATS or Kafka?

NATS is far lighter and lower latency, and much simpler to run. Kafka is the answer when you need a durable replayable log and a large connector ecosystem.

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.

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