Persistent vs. beam for production database

This page summarizes the projects mentioned and recommended in the original post on /r/haskell

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • hasql-dynamic-statements

    Dynamic statements for Hasql

  • 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.

  • opaleye

  • 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

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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