Fine-tune cluster configuration with cluster instances comparison using cluster based metrics such as performance, scale, startup time and cost of job.
Use customizable cluster dashboards to view workload statistics, notebook console, current composition and activity logs.
Qubole, makes decisions based on granular-level details such as task progression and completion time. Cluster management occurs autonomously in real time to avoid overpaying for compute, interruption of active jobs, or missed SLAs
Qubole also provides information about various software package versions and AMIs associated with cluster and cluster instances to easily visualize and speed up debugging and comparative analysis.
“We had very large datasets and had to run queries every day to populate smaller normalized tables so that we could analyze data over time. This required writing Python scripts, which can be time-consuming for our business analysts. Making our business users self-sufficient got us where we wanted to be.” - Adam Rose, Head of Engineering - Adobe Advertising Cloud