---
source_url: "https://developer.puter.com/blog/planetscale-alternatives/"
title: Top 5 PlanetScale Alternatives (2026)
mirrored_at: 2026-08-10T15:39:36.484Z
host: developer.puter.com
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/developer.puter.com/blog/planetscale-alternatives/index"
---

> **Original source:** https://developer.puter.com/blog/planetscale-alternatives/

May 12, 2026

On this page

[PlanetScale](https://planetscale.com/) built its reputation on bringing git-like workflows to databases — branching, deploy requests, and zero-downtime schema changes layered on top of MySQL (via Vitess) and Postgres, with NVMe-backed "Metal" performance for production workloads at scale. It's a strong product, but the removal of its free tier in 2024 and a pricing model tuned for serious infrastructure have left plenty of developers wondering what else is out there.

This article walks through five PlanetScale alternatives — each solving a different slice of the same problem — and where each one fits better.

## 1\. Puter.js

![Puter.js](https://developer.puter.com/assets/img/alternatives/puterjs.webp)

[Puter.js](https://docs.puter.com/) takes a different approach to the "managed database" problem. Instead of provisioning a cluster and connecting to it from a backend, you drop a single `<script>` tag into your frontend and call `puter.kv.set()` and `puter.kv.get()` directly from the browser. The same library also gives you authentication, file storage, AI access, and static hosting — the database is just one piece of the stack.

#### What Makes It Different

The economics are flipped. Where PlanetScale bills the developer for every cluster, branch, and gigabyte of storage, Puter.js routes infrastructure costs to the end user. When someone signs into your app, their Puter account covers their own usage — storage, compute, AI, all of it. Puter calls this the [**User-Pays Model**](https://docs.puter.com/user-pays-model/), and the practical effect is that a Puter.js app costs the developer **$0 to run** whether it has one user or a million.

The scope is also wider than a database. Authentication, [S3-style object storage](https://developer.puter.com/object-storage/), [500+ AI models](https://developer.puter.com/ai/models/), and [static site hosting](https://developer.puter.com/static-hosting/) all live in the same library. Building the equivalent on PlanetScale means signing up for a separate auth provider, a separate file store, and a separate hosting platform — and paying each one independently.

#### Key Differences from PlanetScale

Puter.js is **primarily a frontend library** — it works in Node.js and [Serverless Workers](https://developer.puter.com/serverless-workers/), but the user-pays model only makes sense when your end users are the ones signing in. It's also a **[NoSQL key-value store](https://developer.puter.com/key-value-database/)**, so there are no joins, transactions, or relational schema migrations. For internet-scale relational workloads with horizontal sharding via Vitess, PlanetScale is still the stronger fit.

#### Comparison Table

Feature

Puter.js

PlanetScale

Pricing model

User-pays (free for devs)

Resource-based (cluster + storage)

Free tier

![Check](https://developer.puter.com/assets/img/check.svg) (developer pays $0)

![X](https://developer.puter.com/assets/img/cross.svg) (removed in 2024)

Starting price

Free

$5/month

Database type

NoSQL key-value

MySQL (Vitess) + Postgres

Backend required

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Connection strings

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Branching

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg) (deploy requests)

Horizontal sharding

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg) (Vitess)

SQL queries / joins

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Built-in auth

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

File storage

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

AI integration

![Check](https://developer.puter.com/assets/img/check.svg) (400+ models)

![X](https://developer.puter.com/assets/img/cross.svg)

Static hosting

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Open-source

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Best for

Frontend/web app devs who want zero-cost cloud data

High-scale production SQL workloads

## 2\. Neon

![Neon](https://developer.puter.com/assets/img/alternatives/neon.webp)

[Neon](https://neon.com/) is a serverless Postgres platform that separates storage from compute. It's the closest spiritual sibling to PlanetScale in the alternatives list, both pioneered git-style database branching, both rearchitected the underlying storage layer, and both target modern developer workflows.

#### What Makes It Different

Neon implements **true scale-to-zero**: when your database is idle, your compute cost drops to $0, and a new connection wakes the instance in roughly 300–500ms. PlanetScale clusters bill per second whether you're using them or not. Neon also offers **instant copy-on-write branching**: creating a branch takes under a second regardless of database size, and a child branch within the restore window costs nothing extra in storage.

Neon was **acquired by Databricks for approximately $1 billion in May 2025**, which significantly reduced vendor risk concerns. After the acquisition, storage pricing dropped from $1.75 to $0.35 per GB-month and free tier compute doubled to 100 CU-hours.

#### Key Differences from PlanetScale

Neon is **Postgres-only**. If you're committed to MySQL, it's not a direct alternative. Neon also does not offer horizontal sharding the way PlanetScale's Vitess engine does, so for true internet-scale workloads with hundreds of terabytes, PlanetScale's Metal tier still wins on raw performance. Neon's branching uses copy-on-write while PlanetScale uses a deploy-request workflow with explicit schema review, the two are similar in spirit but different in operational feel.

#### Comparison Table

Feature

Neon

PlanetScale

Pricing model

Usage-based (compute + storage)

Resource-based (cluster + storage)

Free tier

![Check](https://developer.puter.com/assets/img/check.svg) (100 CU-hrs, 0.5GB)

![X](https://developer.puter.com/assets/img/cross.svg)

Starting paid price

$5/month

$5/month

Database type

Postgres

MySQL (Vitess) + Postgres

Branching

![Check](https://developer.puter.com/assets/img/check.svg) (copy-on-write, instant)

![Check](https://developer.puter.com/assets/img/check.svg) (deploy requests)

Scale-to-zero

![Check](https://developer.puter.com/assets/img/check.svg) (~300–500ms wake)

![X](https://developer.puter.com/assets/img/cross.svg)

Horizontal sharding

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg) (Vitess)

Foreign keys

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Connection pooling

![Check](https://developer.puter.com/assets/img/check.svg) (PgBouncer)

![Check](https://developer.puter.com/assets/img/check.svg)

NVMe storage option

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg) (Metal)

Point-in-time recovery

![Check](https://developer.puter.com/assets/img/check.svg) (up to 30 days)

![Check](https://developer.puter.com/assets/img/check.svg)

Postgres extensions

![Check](https://developer.puter.com/assets/img/check.svg) (80+)

Limited

Open-source

![Check](https://developer.puter.com/assets/img/check.svg) (Apache 2.0)

![X](https://developer.puter.com/assets/img/cross.svg)

Self-hostable

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Best for

Variable workloads, branching per PR

Steady-state high-perf production workloads

## 3\. Supabase

![Supabase](https://developer.puter.com/assets/img/alternatives/supabase.webp)

[Supabase](https://supabase.com/) is an open-source backend-as-a-service built on Postgres. While PlanetScale focuses on being the best managed database, Supabase wraps a Postgres instance with everything else you need to ship a full-stack app.

#### What Makes It Different

Supabase bundles **Postgres + Authentication + Storage + Realtime + Edge Functions + Vector embeddings + auto-generated REST and GraphQL APIs** into a single platform. With PlanetScale you'd separately add Auth0 or Clerk for auth, S3 or R2 for files, Pusher or Ably for realtime, and Vercel or AWS Lambda for serverless functions. Supabase replaces all of that with one project.

It also has a genuinely useful **free tier**: 500MB database, 1GB storage, 50,000 monthly active users, and unlimited API requests. Pro is $25/month, which includes 100,000 MAU and 8GB database, an order of magnitude cheaper than equivalent Firebase or AWS Amplify usage.

#### Key Differences from PlanetScale

Supabase is **Postgres-only** and does not offer horizontal sharding, so it's not a fit for workloads that need to shard across hundreds of nodes the way PlanetScale's Vitess engine does. It also doesn't have PlanetScale's NVMe Metal performance tier, performance is comparable to a standard managed Postgres rather than a tuned, dedicated cluster. If you only need a database, not a full BaaS, you're paying for features you won't use.

#### Comparison Table

Feature

Supabase

PlanetScale

Pricing model

Tiered + usage

Resource-based

Free tier

![Check](https://developer.puter.com/assets/img/check.svg) (500MB DB, 50k MAU)

![X](https://developer.puter.com/assets/img/cross.svg)

Starting paid price

$25/month

$5/month

Database type

Postgres

MySQL (Vitess) + Postgres

Branching

![Check](https://developer.puter.com/assets/img/check.svg) (GitHub-based)

![Check](https://developer.puter.com/assets/img/check.svg) (deploy requests)

Horizontal sharding

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg) (Vitess)

Built-in auth

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Row Level Security

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Realtime subscriptions

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

File storage

![Check](https://developer.puter.com/assets/img/check.svg) (S3-compatible)

![X](https://developer.puter.com/assets/img/cross.svg)

Edge functions

![Check](https://developer.puter.com/assets/img/check.svg) (Deno)

![X](https://developer.puter.com/assets/img/cross.svg)

Auto-generated APIs

![Check](https://developer.puter.com/assets/img/check.svg) (REST + GraphQL)

![X](https://developer.puter.com/assets/img/cross.svg)

Vector / pgvector

![Check](https://developer.puter.com/assets/img/check.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Open-source

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Self-hostable

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Best for

Full-stack SaaS needing bundled backend

Database-only, high-scale SQL

## 4\. Firebase

![Firebase](https://developer.puter.com/assets/img/alternatives/firebase.webp)

[Firebase](https://firebase.google.com/) is Google's backend-as-a-service platform, best known for Firestore (a NoSQL document database) and the Realtime Database (a JSON tree store). It's the platform that originally defined what "backend for mobile apps" means.

#### What Makes It Different

Firebase is **mobile-first** in a way PlanetScale isn't. The client SDKs for iOS, Android, Flutter, and the web include **offline persistence and automatic realtime sync**: data changes on the server stream to the client instantly, and writes made while offline are queued and synced when connectivity returns. PlanetScale assumes you have a backend that talks to it over a SQL connection, there's no equivalent client SDK story.

In late 2024 Firebase added **Data Connect**, which gives you a SQL path backed by Cloud SQL Postgres with a schema-driven approach and generated SDKs. So Firebase is no longer NoSQL-only, but Firestore is still the default for most apps.

#### Key Differences from PlanetScale

Firebase's primary databases are **NoSQL document stores**, which struggle with relational data: joins typically require multiple queries stitched client-side or denormalized data. PlanetScale gives you full SQL with joins, transactions, and foreign-key-style constraints (via app-level enforcement). Firebase's **pay-per-operation pricing** can also spike unpredictably at scale, every document read and write is billed, which is why high-traffic apps frequently see surprise bills.

#### Comparison Table

Feature

Firebase

PlanetScale

Pricing model

Pay-per-operation

Resource-based (cluster + storage)

Free tier

![Check](https://developer.puter.com/assets/img/check.svg) (Spark plan)

![X](https://developer.puter.com/assets/img/cross.svg)

Starting paid price

Pay-as-you-go (Blaze)

$5/month

Database type

NoSQL (Firestore + RTDB) + Postgres via Data Connect

MySQL (Vitess) + Postgres

Branching

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Horizontal sharding

Auto (Firestore)

![Check](https://developer.puter.com/assets/img/check.svg) (Vitess)

Joins / relational queries

Limited (client-stitching)

![Check](https://developer.puter.com/assets/img/check.svg) (full SQL)

Built-in auth

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Realtime sync

![Check](https://developer.puter.com/assets/img/check.svg) (best-in-class)

![X](https://developer.puter.com/assets/img/cross.svg)

Offline support

![Check](https://developer.puter.com/assets/img/check.svg) (mobile SDKs)

![X](https://developer.puter.com/assets/img/cross.svg)

File storage

![Check](https://developer.puter.com/assets/img/check.svg) (Cloud Storage)

![X](https://developer.puter.com/assets/img/cross.svg)

Cloud functions

![Check](https://developer.puter.com/assets/img/check.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Mobile SDKs

![Check](https://developer.puter.com/assets/img/check.svg) (iOS/Android/Flutter)

![X](https://developer.puter.com/assets/img/cross.svg)

Predictable pricing

![X](https://developer.puter.com/assets/img/cross.svg) (operation-based)

![Check](https://developer.puter.com/assets/img/check.svg)

Open-source

![X](https://developer.puter.com/assets/img/cross.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Best for

Mobile apps with realtime + offline

High-scale relational SQL workloads

## 5\. DynamoDB

![DynamoDB](https://developer.puter.com/assets/img/alternatives/dynamodb.webp)

[Amazon DynamoDB](https://aws.amazon.com/dynamodb/) is AWS's serverless NoSQL key-value and document database. It's been the backbone of Amazon.com itself for over a decade, including the shopping cart during Prime Day, so it's battle-tested at internet scale in a way few alternatives can claim.

#### What Makes It Different

DynamoDB delivers **single-digit millisecond performance at any scale**, with zero infrastructure management, zero downtime maintenance, and pay-per-request billing. It has **no cold starts**, no version upgrades, and no maintenance windows. **Global tables** offer multi-region active-active replication with 99.999% availability and multi-region strong consistency, enabling zero-RPO applications. DynamoDB **Streams** capture every item-level change for event-driven architectures, and the integration with the rest of the AWS ecosystem (Lambda, API Gateway, Step Functions, AppSync) is deeper than any third-party database can match.

In November 2024, AWS reduced **on-demand throughput pricing by 50%** and **global tables pricing by up to 67%**, making it more cost-competitive than ever.

#### Key Differences from PlanetScale

DynamoDB is **NoSQL key-value**, not relational, so there's no SQL, no joins (PartiQL has limited support), and no foreign keys. It also enforces a **single-table design** mental model that has a real learning curve, you architect around access patterns, not around normalized entities. There's no branching workflow, no schema review process, and no equivalent of PlanetScale's deploy requests. And while DynamoDB is "open" in terms of API, it's tightly coupled to AWS, you can't self-host or move it to another cloud easily.

#### Comparison Table

Feature

DynamoDB

PlanetScale

Pricing model

Per-request or provisioned

Resource-based (cluster + storage)

Free tier

![Check](https://developer.puter.com/assets/img/check.svg) (25GB perpetual)

![X](https://developer.puter.com/assets/img/cross.svg)

Database type

NoSQL key-value / document

MySQL (Vitess) + Postgres

Latency

Single-digit ms at any scale

Single-digit ms (Metal)

Scale-to-zero

![Check](https://developer.puter.com/assets/img/check.svg) (on-demand mode)

![X](https://developer.puter.com/assets/img/cross.svg)

Branching

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Horizontal sharding

Automatic

![Check](https://developer.puter.com/assets/img/check.svg) (Vitess)

Multi-region replication

![Check](https://developer.puter.com/assets/img/check.svg) (active-active, 99.999%)

Read-only regions

SQL queries

PartiQL (limited)

![Check](https://developer.puter.com/assets/img/check.svg) (full SQL)

Joins

![X](https://developer.puter.com/assets/img/cross.svg)

![Check](https://developer.puter.com/assets/img/check.svg)

Streams / CDC

![Check](https://developer.puter.com/assets/img/check.svg) (DynamoDB Streams)

![Check](https://developer.puter.com/assets/img/check.svg)

Cold starts

![X](https://developer.puter.com/assets/img/cross.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

In-memory cache

![Check](https://developer.puter.com/assets/img/check.svg) (DAX)

![X](https://developer.puter.com/assets/img/cross.svg)

AWS ecosystem integration

Native (Lambda, API Gateway, etc.)

![X](https://developer.puter.com/assets/img/cross.svg)

Open-source / portable

![X](https://developer.puter.com/assets/img/cross.svg)

![X](https://developer.puter.com/assets/img/cross.svg)

Best for

AWS-native serverless apps with key-value access

Relational SQL with branching workflows

## Which Should You Choose?

**Choose Puter.js** if you're building a web app and want cloud data, auth, storage, and AI without any backend, API keys, or infrastructure bill. The user-pays model is ideal for developers who don't want to cover user costs, especially apps where you can't predict scale.

**Choose Neon** if you want serverless Postgres with true scale-to-zero and instant branching for every PR. It's the closest direct alternative to PlanetScale's developer workflow, and with the Databricks acquisition it has long-term backing.

**Choose Supabase** if you need a full backend, not just a database. Postgres + auth + storage + realtime + edge functions in one platform saves you from stitching together five services. The generous free tier and $25 Pro plan make it especially attractive for early-stage projects.

**Choose Firebase** if you're shipping a mobile app where realtime sync and offline support are core to the experience. The mobile SDKs are mature in a way nothing else on this list is, and the Google Cloud integration is hard to beat.

**Choose DynamoDB** if you're all-in on AWS, your access patterns are key-value, and you need ruthless consistency under extreme load. It's the right answer for serverless workloads on Lambda where SQL flexibility isn't a requirement.

**Stick with PlanetScale** if you need MySQL with horizontal sharding via Vitess, NVMe-backed performance for write-heavy workloads, or the deploy-request workflow for schema changes on large production databases. It remains the strongest pure-database choice for high-scale relational SQL.

## Conclusion

The top 5 PlanetScale alternatives are Puter.js, Neon, Supabase, Firebase, and DynamoDB. Each takes a different approach to making data infrastructure accessible, from Puter.js's zero-cost frontend integration to Neon's scale-to-zero Postgres to DynamoDB's AWS-native key-value store. Whichever platform you choose, the best option is the one that fits your stack, your budget, and how your users will interact with data in your app.

-   [Getting Started with Puter.js](https://developer.puter.com/tutorials/getting-started-with-puterjs/)
-   [How to Use Puter.js Key-Value Store API](https://developer.puter.com/tutorials/kv-guide/)
-   [Add a Key-Value Store to Your App: A Free Alternative to DynamoDB](https://developer.puter.com/tutorials/add-a-cloud-key-value-store-to-your-app-a-free-alternative-to-dynamodb/)
-   [Top 5 PostgreSQL Alternatives (2026)](https://developer.puter.com/blog/postgresql-alternatives/)
-   [Top 5 Neon Alternatives (2026)](https://developer.puter.com/blog/neon-alternatives/)
-   [Top 5 Supabase Alternatives (2026)](https://developer.puter.com/blog/supabase-alternative/)
-   [Top 5 Firebase Alternatives (2026)](https://developer.puter.com/blog/firebase-alternatives/)
-   [Top 5 DynamoDB Alternatives (2026)](https://developer.puter.com/blog/dynamodb-alternatives/)
-   [Top 5 MongoDB Alternatives (2026)](https://developer.puter.com/blog/mongodb-alternatives/)
-   [Best Appwrite Alternatives (2026)](https://developer.puter.com/blog/appwrite-alternative/)
-   [Best Convex Alternatives (2026)](https://developer.puter.com/blog/convex-alternatives/)
-   [Top 5 PocketBase Alternatives (2026)](https://developer.puter.com/blog/pocketbase-alternatives/)
-   [Top 5 Redis Alternatives (2026)](https://developer.puter.com/blog/redis-alternatives/)
-   [Top 5 Upstash Alternatives (2026)](https://developer.puter.com/blog/upstash-alternatives/)
-   [Top 5 Memcached Alternatives (2026)](https://developer.puter.com/blog/memcached-alternatives/)
-   [Top 5 Amazon S3 Alternatives (2026)](https://developer.puter.com/blog/amazon-s3-alternatives/)
-   [Top 5 Turso Alternatives (2026)](https://developer.puter.com/blog/turso-alternatives/)