Deploy new use cases in days. Don’t waste time splitting workloads into multiple clusters.
Autoscale and rebalance clusters based on workload need to prevent cost overruns.
Mitigate the risk of Spot losses with rebalancing, intelligent planning, and rapid job recovery.
Choose the best cluster configuration for the job. Automatically shut down idle clusters.
Significantly reduce cloud computing costs with sustainable economics through built-in capabilities such as workload-aware autoscaling, aggressive cluster downscaling, and heterogeneous cluster configurations.
Automate and optimize usage of Spot instances while maintaining reliability with Spot rebalancing, proactive autoscaling, fault tolerance, and risk mitigation. Among Qubole customers, Spot instances account for 54% of all AWS compute hours — with estimated savings of $230 million.
Qubole includes an out-of-the-box workbench and notebooks for data scientists, data engineers, data analysts, and administrators. Our platform serves a wide landscape of use cases, and we support open source frameworks used by every type of data user including Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow.
Increase the number of users per administrator without impacting your budget. Qubole’s self-service platform allows one administrator to support 200+ users, so you can do more with less.
Unlike the self-service approach other vendors take, the Qubole team provides unmatched support for users through training, technical support, on-demand courses, best practice recommendations, and in-person sessions.
“The overwhelming reason we selected Qubole was because it is the only vendor that offers what I consider to be true autoscaling. By true autoscaling, I mean that autoscaling is self-service — if the load on our cluster is high, the cluster automatically expands. Conversely, nodes are automatically removed when the load is low. This is different from manual autoscaling where you need to pre-define autoscaling capacity. Shailesh Garg, CTO and Head of Analytics at Komli Media
“We've been using Qubole for over a year and the best part about it is it's actually a managed service. It's a pretty innovative big data service that aggressively takes advantage of Spot pricing offered by AWS. I don't know of any other tool that takes advantage of Spot pricing as aggressively as Qubole does. Yekesa Kosuru, VP of Technology, DataXu
“We're down one-third of what we were originally paying for spot, so operations is very happy because, one, they don't have to retune their jobs. Craig Carl, Dir., Solutions Architecture, Bare Metal Cloud Team, Oracle
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