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Databases · head to head

Firestore vs NATS

Firestore logo

Firestore

Databases

Flexible, scalable NoSQL cloud database from Firebase

From
Free
Rated
-
NATS logo

NATS

Databases

High-performance messaging system for cloud-native applications

From
Free
Rated
-

The short version

  • Each has a real cost: Firestore the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day; NATS core NATS has no persistence at all, so messages are lost if no subscriber is listening
  • They diverge on capability: Firestore covers Document Model, NATS covers Very low latency.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Firestore and NATS actually diverge.

Attributes where Firestore and NATS differ
AttributeFirestoreNATS
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, Ios, Android, FlutterLinux, macOS, Windows, Docker, Kubernetes
Founded2011Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

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 Firestore

  • Document Model
  • Real-time Updates
  • Offline Support
  • ACID Transactions
  • Expressive Queries
  • Multi-region
  • Security Rules
  • Firebase Auth

Only in NATS

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

What people use each for

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

Firestore

  • Storing structured application data with realtime listenersnot NATS
  • Backing mobile and web apps with a serverless document databasenot NATS
  • Building offline first apps that sync when connectivity returnsnot NATS

NATS

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

Where each one falls short

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

Firestore

  • The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
  • The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
  • Charging is per document read, so a query returning many documents bills for every one of them
  • Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling

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

Pricing, plan by plan

Firestore

Free
  • SparkFree
    • 1GB storage
    • 50K reads/day
    • 20K writes/day
  • BlazeFree
    • Pay as you go
    • Unlimited operations
    • Multi-region

NATS

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

Which should you pick?

Choose Firestore if

  • You need document model.
  • You want to start without paying.
  • You work on Web, Ios, Android, Flutter.
  • You also want real-time updates.

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.

Questions people ask

Is Firestore or NATS better?
Neither clearly leads. Firestore starts at Free and NATS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firestore or NATS?
Firestore starts at Free and NATS at Free.
Does Firestore or NATS run on more platforms?
Firestore runs on Web, Ios, Android, Flutter. NATS runs on Linux, macOS, Windows, Docker, Kubernetes.
Can I use Firestore for free?
Both have a free tier, so you can try either at no cost before committing.
What is Firestore best used for?
Firestore is most often used for storing structured application data with realtime listeners, backing mobile and web apps with a serverless document database, building offline first apps that sync when connectivity returns. Of those, storing structured application data with realtime listeners and backing mobile and web apps with a serverless document database are not what NATS is typically brought in for.
What can Firestore do that NATS cannot?
Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions. NATS covers Very low latency, JetStream, Single binary, Request-reply.

Answered from the vendors’ own pages

Firestore: What are the free limits on Cloud Firestore?

The Spark Plan includes 1 GiB of stored data, 50,000 reads per day, 20,000 writes per day, and 20,000 deletes per day at no cost.

Source
NATS: Is NATS free?

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

Firestore: What happens when I exceed the Spark Plan free tier?

Exceeding the free tier requires upgrading to the Blaze Plan, which bills based on actual usage through Google Cloud pricing. Charges apply for reads, writes, deletes, and data storage.

Source
NATS: Does NATS persist messages?

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

Firestore: Can I use Firestore without a credit card?

Yes, you can use the Spark Plan indefinitely without a credit card. To use the Blaze Plan (pay-as-you-go), a credit card is required.

Source
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.

Firestore: Is there a trial period for Cloud Firestore?

No trial period is specified. The Spark Plan free tier serves as the trial, with no time limit.

Source
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