Timescale vs Hasura Cloud
A detailed comparison to help you choose between Timescale and Hasura Cloud.
Timescale PostgreSQL-native time-series database for metrics, events, and analytics | Hasura Cloud Instant GraphQL API on any Postgres database | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (39 reviews) | 4.9 (129 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 who want to instantly expose their PostgreSQL database as a GraphQL API |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tieropen sourceself hostableapi access |
| Visit Timescale → | Visit Hasura Cloud → | |
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
Hasura Cloud
Pros
- + Instant GraphQL from existing database
- + Real-time subscriptions built-in
- + Authorization rules in the API layer
Cons
- - GraphQL expertise helpful
- - Hasura-specific concepts to learn
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