Timescale vs Neon
A detailed comparison to help you choose between Timescale and Neon.
Timescale PostgreSQL-native time-series database for metrics, events, and analytics | Neon Serverless Postgres with branching and scale-to-zero | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (39 reviews) | 4.6 (305 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Teams building observability platforms, infrastructure monitoring, or financial analytics who already use or prefer PostgreSQL and need native time-series performance. | Developers using Next.js or serverless frameworks who want Postgres with branching at zero idle cost |
| Specifications (entry plan) | ||
| CPU cores | — | 0 vCPU |
| RAM | — | 0 GB |
| Storage | — | 0 GB |
| Bandwidth | — | 0 TB/mo |
| SLA uptime | — | 99.9% |
| Data-center count | — | 8 |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | — | United StatesEuropean Union |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source |
| Visit Timescale → | Visit Neon → | |
Timescale
Pros
- + Query time-series data with standard SQL—no new language to learn
- + Compress data by 90%+ automatically, reducing storage costs significantly
- + Handle high-throughput ingestion (millions of rows/second) without custom sharding
- + Run continuous aggregates for real-time dashboards without manual refresh
- + Leverage PostgreSQL ecosystem—extensions, tools, and libraries work natively
Cons
- - Requires PostgreSQL expertise; not a zero-ops managed service like some competitors
- - Self-hosted deployments need operational overhead for scaling and maintenance
- - Pricing for managed cloud can escalate with data volume and query complexity
Neon
Pros
- + Scale-to-zero — no charges for idle databases
- + Database branching for preview environments
- + Generous free tier — 10 projects
Cons
- - Cold start latency when scaled to zero
- - Less mature than managed RDS for mission-critical
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