It uses standard SQL with makes it simple to use and has easier adaptation. It's architecture is based on columnar design which makes analysis of big data fast. It is easy to implement as it support cross platform and light weight. It has good support as it is open source its community is really helpful and active. Its in-memory and bulk loading features is well implemented as I frequently use it. Review collected by and hosted on G2.com.
It has good integration support but I had faced issue while integrating it with python connector for my data science workflow. Also it has limited indexing option compared to its competitors and it also lack auto scaling. Review collected by and hosted on G2.com.
The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.
Validated through a business email account
Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.



