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PlanetScale vs SQLite

PlanetScale logo

PlanetScale

Software

The MySQL-compatible serverless database

From
$15/month
Rated
-
Full reviewWebsite
SQLite logo

SQLite

Software

Small, fast, self-contained SQL database engine

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only SQLite has a free tier, so it costs nothing to try first.
  • Each has a real cost: PlanetScale eBS High Availability requires 3-node configuration with replication overhead; SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • They diverge on capability: PlanetScale covers Database Branching, SQLite covers Serverless Operation.

Where they differ

Only the attributes on which PlanetScale and SQLite actually diverge.

Attributes where PlanetScale and SQLite differ
AttributePlanetScaleSQLite
Starting price$15/monthFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsCloud-hosted (AWS, GCP, Azure)Linux, macOS, Windows, iOS, Android
Founded20182000

Identical on both: user rating (Not yet rated), category (Unknown).

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 PlanetScale

  • Database Branching
  • Non-blocking Schema Changes
  • Insights
  • Horizontal Scaling
  • Connection Pooling
  • Query Caching
  • Automatic Backups
  • Global Replication

Only in SQLite

  • Serverless Operation
  • Zero Configuration
  • Single File Database
  • Cross-platform
  • Full SQL Support
  • ACID Compliance
  • Self-contained
  • Browser Storage

What people use each for

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

PlanetScale

  • MySQL database hosting with automatic failover and replicationnot SQLite
  • Vitess-based sharding for horizontal scaling across large datasetsnot SQLite
  • Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot SQLite
  • Cost-effective database clusters using ARM64 architecture optionsnot SQLite

SQLite

  • Transaction processingnot PlanetScale
  • Data storagenot PlanetScale
  • Application backendnot PlanetScale
  • Reportingnot PlanetScale
  • Data analyticsnot PlanetScale

Where each one falls short

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

PlanetScale

  • EBS High Availability requires 3-node configuration with replication overhead
  • EBS Non-HA single-node option lacks redundancy and automatic failover
  • Pricing varies by cloud provider and region, requiring queries for specific rates
  • ARM64 architecture only available on EBS tier, not Metal deployments

SQLite

  • Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • No multi-user support or granular access control; relies on file system permissions for security only
  • Limited ALTER TABLE functionality cannot edit or modify columns in existing tables

Pricing, plan by plan

PlanetScale

$15/month

No published plan breakdown. See the PlanetScale review.

SQLite

Free
  • Public DomainFree
    • Serverless
    • Zero-configuration
    • Cross-platform

Which should you pick?

Choose PlanetScale if

  • You need database branching.
  • You work on Cloud-hosted (AWS, GCP, Azure).
  • You also want non-blocking schema changes.
PlanetScale review

Choose SQLite if

  • You need serverless operation.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, iOS, Android.
  • You also want zero configuration.
SQLite review

Questions people ask

Is PlanetScale or SQLite better?
Neither clearly leads. PlanetScale starts at $15/month and SQLite at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PlanetScale or SQLite?
SQLite has a free tier; the other does not. Paid plans start at $15/month for PlanetScale and Free for SQLite.
Does PlanetScale or SQLite run on more platforms?
PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). SQLite runs on Linux, macOS, Windows, iOS, Android.
Can I use SQLite for free?
Yes. SQLite has a free tier, so you can try it without paying. PlanetScale starts at $15/month.
What is PlanetScale best used for?
PlanetScale is most often used for mysql database hosting with automatic failover and replication, vitess-based sharding for horizontal scaling across large datasets, cloud provider flexibility across aws, gcp, azure with 60+ regions, cost-effective database clusters using arm64 architecture options. Of those, mysql database hosting with automatic failover and replication and vitess-based sharding for horizontal scaling across large datasets are not what SQLite is typically brought in for.
What can PlanetScale do that SQLite cannot?
PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform.

Answered from the vendors’ own pages

SQLite: Is SQLite free and open source?

Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without restrictions.

Source
SQLite: How does SQLite work and what is its design?

SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.

Source
SQLite: What are SQLite's limitations for scaling?

SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.

Source
SQLite: Can I use SQLite for production web applications?

SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.

Source
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