Tiger Data (Timescale) may suit you better if…
- You ingest large volumes of time-series data
- You need hypertables and continuous aggregates
Compare
Da8a vs Tiger Data (Timescale)
Tiger Data, formerly Timescale, runs managed Postgres with the TimescaleDB extension for time-series and analytics. Da8a is a general app backend on Postgres, with auth, storage, APIs and functions.
| Topic | Da8a | Tiger Data (Timescale) |
|---|---|---|
| Focus | App backends | Time-series, events and analytics |
| Extensions | pgvector, pg_cron, pg_net and more | TimescaleDB hypertables, compression and continuous aggregates |
| Auth, storage, API | Built in | Not included |
| Pricing model | A flat price per server | Compute and storage based |
| Where it runs | A dedicated server of your own | Tiger Cloud |
This page describes general differences as of 2026, not every feature. Products change over time; check each provider’s own documentation for current details.
Da8a may suit you better if…
- You are building a typical web or mobile app
- You want auth, storage and APIs with the database
Switching to Da8a
pg_dumpnon-time-series tables into Da8a.- Keep high-volume metrics where they are and call them from edge functions.
More detail in the migration docs and the quickstart.
Other comparisons
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