It leverages machine learning and predictive analytic features to help preprocess data
The primary use case is as an analytics database on EC2 instances.
How has it helped my organization?
* We gain insights into data in real-time with blazing, fast SQL analytics across exabytes of data.
* It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.
* It leverages machine learning and predictive analytic features to help preprocess data.
What is most valuable?
It maximize cloud economics for mission-critical big data analytical initiatives.
What needs improvement?
It needs integration with multiple clouds.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
I have implemented it on Amazon EC2 instances with medium IT workloads.
What do I think about the scalability of the solution?
It has an elastic scalability solution.
How was the initial setup?
It is easy to integrate with EC2 instances.
What's my experience with pricing, setup cost, and licensing?
It is fast to purchase through the AWS Marketplace.
The pricing and licensing depend on the size of your environment and the zone where you want to implement.
What other advice do I have?
It is a complete solution and a also good solution for EC2 instances.
Does it use ext4, XFS, or both, depending on partition? Does it mount ext4 in data = writeback, ordered, or journal mode? Thank you.