Timescale vs PocketBase
A detailed comparison to help you choose between Timescale and PocketBase.
Timescale PostgreSQL for time-series and analytics | PocketBase Open source backend in a single file | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (39 reviews) | 4.5 (188 reviews)✓ |
| Pricing model | freemium | free |
| Starting price | Free tier available | Free |
| Best for | IoT, monitoring, and financial data applications needing time-series performance with PostgreSQL compatibility | Developers who want the simplest possible backend for small apps and prototypes in a single binary |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tieropen sourceself hostable |
| Visit Timescale → | Visit PocketBase → | |
Timescale
Pros
- + PostgreSQL compatible — no new query language
- + Best time-series performance in SQL
- + Continuous aggregates for faster analytics
Cons
- - Time-series specific use case
- - More complex than standard Postgres for non-time-series data
PocketBase
Pros
- + Single binary — extremely simple to deploy
- + Embedded SQLite — no separate database
- + Real-time subscriptions built-in
Cons
- - SQLite — not suitable for multi-writer high-concurrency
- - Single file limits horizontal scaling
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