Are there recommended approach working with Database except Panache/Hibernate ?

• sql2o

  1 1,132 7.9 Java

  sql2o is a small library, which makes it easy to convert the result of your sql-statements into objects. No resultset hacking required. Kind of like an orm, but without the sql-generation capabilities. Supports named parameters.

Mostly i think because in our Kubernetes - the max resources allocated for single service instance - 2gb ram + 4vcore (2vcore, for 4 there is special agreement process). Under load i often see high memory pressure (gc count, high pauses, etc.). But handling http requests and dealing with CRUD is not a big problem. The huge difference appears during data batch upload into big-data system. The only service which was able to upload it's database faster than 300k record/s+ (peak ingestion) is using https://github.com/aaberg/sql2o + https://vertx.io/docs/vertx-pg-client/java/ . I don't remember numbers for services which use hibernate, but they mostly are very low.

• InfluxDB

  www.influxdata.com featured

  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.

  

Suggest a related project