atanasovskib

4 ms·

1. 1.▲
   by atanasovskib 4y ago

   I guess for now you shouldn't worry unless you plan to join/co-found an extra-early stage startup
2. 2.▲
   by atanasovskib 5y ago

   So 7?
3. 3.▲
   by atanasovskib 6y ago

   There are a lot of differences that need to be taken into account before making a comparison. 1. TimescaleDB implements the compression on a hifher level, the underlying table storage/access method remains the same 2. TimescaleDB doesn
4. 4.▲
   by atanasovskib 6y ago

   In my opinion it would be very hard to justify using Timestream for any analysis heavy workloads for at least three reasons: 1. Queries will need to touch a lot of data - will cost a lot, and there is no ability to optimize the queries in a
5. 5.▲
   by atanasovskib 6y ago

   The blog post links to a comparison done by the CrateDB folks ( https://crate.io/a/amazon-timestream-first-impressions/ )
6. 6.▲
   by atanasovskib 6y ago

   I would suggest checking out other smaller cloud providers for managed databases over Aurora. Check out Aiven.io
7. 7.▲
   by atanasovskib 6y ago

   I replied to the parent comment. In short yes, it is supported ( https://docs.timescale.com/latest/using-timescaledb/continuo... )
8. 8.▲
   by atanasovskib 6y ago

   I think what you are referring to is the TimescaleDB real-time aggregates https://docs.timescale.com/latest/using-timescaledb/continuo... It allows you to define aggregations that are automatically used when queri
9. 9.▲
   by atanasovskib 6y ago

   The Hypertables and Distributed Hypertables can be used to store any kind of data, but works best as long as it has a monotonously increasing partitioning key (e.g. time), with high ingest load, few data modifications (preferable bulked) Th