Our great sponsors
-
In typical CRUD applications you can get a long way with type-checked plain SQL and tuples via hasql-th, which is a great time saver at prototyping. Later on when you have more conditional logic in your queries you can gradually substitute it with dynamic statements. It works very well in production where you incrementally refine your own high-level abstractions with appropriate encoders/decoders, you can even build your own DSL on top of it, instead of relying on pre-defined query building APIs of Persistent and Beam. But again, both Persistent and Beam will work well too.
-
Sounds like Opaleye isn't on your list of choices, but if it is then feel free to ask me any questions, any time by filing an issue (I'm the Opaleye maintainer).
-
InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
