Firebase vs Neon
Firebase is Google's backend-as-a-service platform, offering a NoSQL database (Firestore and Realtime Database) alongside authentication, hosting, serverless functions and analytics in one product. Neon is a serverless Postgres database platform that separates storage and compute so databases scale to zero when idle, with instant copy-on-write branching for creating full database copies for development or testing. Choose Firebase if you want a full NoSQL backend platform from Google; choose Neon if you need relational Postgres with database branching, and are comfortable adding auth and hosting separately.
Facts checked on against the official sources listed at the end. Usage numbers update daily.
Best for
A full NoSQL backend platform with built-in auth, hosting and functions
Free plan. Paid from Blaze plan is pay-as-you-go on top of the same free limits, billed through Google Cloud.
Best for
Serverless relational Postgres with instant database branching
Free plan.
Firebase vs Neon at a glance
| Compared on | Firebase | Neon |
|---|---|---|
| Data model | NoSQL document/realtime database (Firestore, Realtime Database) | Relational (Postgres) |
| Built-in auth | Yes, Firebase Authentication included | No; requires a separate auth provider |
| Database branching | No built-in equivalent | Yes, instant copy-on-write branching for full database copies |
| Scale-to-zero compute | Not applicable in the same sense; billing is usage-based per operation | Yes, compute scales to zero when idle and resumes automatically |
| Hosting included | Yes, static hosting built in | No; database only |
| Ownership | Neon, Inc., a Databricks company | |
| Open source | No, Proprietary | Yes, Apache-2.0 (core storage engine) |
| Free plan | Yes: the Spark plan, with no-cost usage limits and no payment method required | Yes: 0.5 GB storage and 100 compute hours a month per project, no credit card required |
| Paid plans from | Blaze plan is pay-as-you-go on top of the same free limits, billed through Google Cloud | Not listed |
| Made by | Neon, Inc. (a Databricks company) | |
| Launched | 2012 | 2021 |
What's the difference between Firebase and Neon?
Firebase bundles a NoSQL database with authentication, static hosting and serverless functions
Firebase bundles a NoSQL database with authentication, static hosting and serverless functions in one Google-run platform; Neon is a standalone Postgres database service, leaving auth and hosting to be added separately.
Neon's signature feature is instant, copy-on-write database branching, letting you spin up
Neon's signature feature is instant, copy-on-write database branching, letting you spin up a full copy of a production database for a preview or test environment in seconds; Firebase has no direct equivalent for its NoSQL data.
Firebase uses a flexible NoSQL document model well suited to mobile and
Firebase uses a flexible NoSQL document model well suited to mobile and realtime apps; Neon's Postgres is relational, suited to structured data with joins and transactions.
Neon's compute scales to zero automatically when a database is idle and
Neon's compute scales to zero automatically when a database is idle and resumes on the next query; Firebase's Blaze plan bills per operation on Firestore and Realtime Database rather than by compute uptime.
Firebase vs Neon pricing
Firebase's Spark plan is free with fixed usage limits and no card required; Blaze bills usage beyond those limits at Google Cloud rates. Neon has a free plan (0.5 GB storage, 100 compute hours/month) and usage-based Launch and Scale plans billed hourly.
Firebase
Spark (free): 1 GiB Firestore storage, 50,000 daily reads, 20,000 daily writes, 10 GB hosting. Blaze: pay-as-you-go on top, e.g. Cloud Functions $0.40 per million invocations beyond 2M free.
- Spark (free)
- $0
- Blaze (pay as you go)
- Usage-based, e.g. Cloud Functions $0.40 per million invocations beyond 2M free
Neon
Free: 0.5 GB storage and 100 compute hours a month per project. Launch and Scale: usage-based, billed hourly for compute and storage, with more autoscaling, storage and features at each tier.
- Free
- $0 a month
- Launch
- Usage-based, billed hourly
- Scale
- Usage-based, billed hourly
Prices in USD from the official pricing pages on 30 September 2026. They change often, so confirm on firebase.google.com and neon.com before you commit.
Usage and activity
Neon has 4.5 times as many GitHub stars as Firebase (23.2k against 5.1k). Weekly npm downloads: 12M for firebase and 5.2M for @neondatabase/serverless.
| Measure | Firebase | Neon |
|---|---|---|
| GitHub stars | 5,148 | 23,175 |
| npm downloads a week | 12M (firebase) | 5.2M (@neondatabase/serverless) |
| Latest release | [email protected], 4 weeks ago | release-proxy-88…, 1 year ago |
| Releases in 90 days | 4 | 0 |
From the public GitHub and npm APIs, updated daily. Stars and downloads show developer interest, not product quality.
Should you choose Firebase or Neon?
Choose Firebase if
- You want a NoSQL database plus auth, hosting and functions from one provider
- You're building a mobile or web app that benefits from Firestore's realtime sync
- You want Google Cloud billing and infrastructure
- You don't need relational data modeling with joins
Choose Neon if
- Your data is relational and fits Postgres better than a document model
- You want instant database branching for previews, tests or development copies
- You want compute that scales to zero and back up automatically to control cost
- You're comfortable adding auth and hosting as separate services
Switching between Firebase and Neon
Moving from Firebase to Neon means converting NoSQL documents into relational tables, which typically requires normalizing data that was previously nested or duplicated across documents, and adding a separate auth provider and hosting service since Neon doesn't include either. Moving from Neon to Firebase means denormalizing relational tables into documents and gaining built-in auth and hosting, at the cost of Neon's branching workflow and Postgres's relational query features.
Firebase vs Neon: common questions
Does Neon include authentication like Firebase?
No. Neon is a database service only; you'd need to add a separate authentication provider, whereas Firebase includes Firebase Authentication as part of its platform.
What is database branching in Neon?
It's a feature that creates an instant, copy-on-write full copy of a Neon database, commonly used for spinning up isolated environments for development, testing or preview deployments without duplicating storage upfront.
Can Firebase scale to zero like Neon?
Not in the same compute sense. Firebase's Firestore and Realtime Database are billed per operation rather than by compute instance uptime, so there's no separate compute layer that scales to zero the way Neon's does.
Is Neon's core technology open source?
Yes, Neon's core storage engine is Apache-2.0 licensed and open source, unlike Firebase, which is a fully proprietary Google service.
Who owns Neon?
Neon, Inc. was acquired by Databricks in 2025 and continues to operate as its own product and brand under Databricks.
Other options to consider
All databases tools
Supabase
Open source Postgres development platform with auth, instant APIs, realtime, storage and edge functions.
Redis
In-memory data store used as a cache, database and message broker, available self-hosted or as Redis Cloud.
MongoDB Atlas
MongoDB's fully managed cloud database service, with a free tier and usage-based paid tiers.
Pocketbase
Open source backend in a single executable file, with a database, auth and storage built in.
Sources
More sources for each tool are on the Firebase and Neon pages.
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