Timescale vs CockroachDB
A detailed comparison to help you choose between Timescale and CockroachDB.
Timescale PostgreSQL-native time-series database for metrics, events, and analytics | CockroachDB Distributed SQL database that survives failures | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (39 reviews) | 4.4 (357 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. | Applications requiring high availability across multiple regions where database availability is mission-critical |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access |
| Visit Timescale → | Visit CockroachDB → | |
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
CockroachDB
Pros
- + Survives datacenter failures by design
- + Postgres-compatible SQL
- + Automatic geographic distribution
Cons
- - More complex than standard Postgres
- - Free tier limits apply
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