“Qubole’s autoscaling and downscaling is definitely a huge cost saver, and the ability to isolate workloads to separate clusters is key to efficient operations. Oskar Austegard, Sr. Dir., Data Solutions, Gannet
“Qubole is able to help us to process the data within a 15-minute time frame rather than multiple days so that we can distribute the information to end users less than 20 minutes after the data has been received. Ng Kim Hoe, IT Strategy and Architecture, Malaysia Airlines
“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
“If it wasn't for Qubole, we would have probably been delayed months to a year in embarking on our big data journey. We would have missed all the insights from the data — insights that have been a strong driver of so many of our growth strategies. Barkha Saxena, VP, Data Science & Analytics, Poshmark
“The way Qubole manages the infrastructure allows me to develop in other areas of the data product life cycle, I can spend more time on discovery, talking with clients, and really understanding their problems at a deeper level. Sasha Mushovic, Data Scientist, Return Path
“The Qubole interface makes it easy for our developers to go to a notebook, pick a cluster, and get started with a query. They don't have to worry about managing the cluster, and they're able to collaborate with other developers easily by sharing notebooks. Lucas Waye, Principal Engineer, Tivo
Businesses around the world depend on Qubole for their analytics and machine learning projects.