Speed of execution, specially with comparison to Apache Hive. Flexibility to work as a regular RDBMS table. It can be used for huge datamart with CDC logic at ease.
Kudu seems to have limited use in Impala. I have tried using is in Spark but didn't have great results (some of that was my fault). Impala isn't really for streaming data where the speed comes in so I'm not sure Kudu fits my use case.
Best part of Clickhouse database is it has very easy installation and easy to use for high performance and reliablity
As of now, Nothing I dislike about click house.
Speed of execution, specially with comparison to Apache Hive. Flexibility to work as a regular RDBMS table. It can be used for huge datamart with CDC logic at ease.
Best part of Clickhouse database is it has very easy installation and easy to use for high performance and reliablity
Kudu seems to have limited use in Impala. I have tried using is in Spark but didn't have great results (some of that was my fault). Impala isn't really for streaming data where the speed comes in so I'm not sure Kudu fits my use case.
As of now, Nothing I dislike about click house.