I know that the team behind the initial creation of Kylin launched a commercial product they're calling Kyligence (https://kyligence.io/), and they seem to have gained a fair bit of traction in Asia. I've also seen them showing up more and more here in the United States.
How to compare Kylin with other SQL engines like Hive, Presto, Spark SQL, Impala?
They answer a query in different ways. Kylin is not a replacement for them, but a supplement (query accelerator). Many users run Kylin together with other SQL engines. For the high frequent query patterns, building Cubes can greatly improve the performance and also offload cluster workloads. For less queried patterns or ad-hoc queries, ther MPP engines are more flexible.
I know that the team behind the initial creation of Kylin launched a commercial product they're calling Kyligence (https://kyligence.io/), and they seem to have gained a fair bit of traction in Asia. I've also seen them showing up more and more here in the United States.
How to compare Kylin with other SQL engines like Hive, Presto, Spark SQL, Impala?
They answer a query in different ways. Kylin is not a replacement for them, but a supplement (query accelerator). Many users run Kylin together with other SQL engines. For the high frequent query patterns, building Cubes can greatly improve the performance and also offload cluster workloads. For less queried patterns or ad-hoc queries, ther MPP engines are more flexible.
This is an OLAP modeling solution, like Druid or Pinot, but in theory more general use case.