Eliminate data silos and iterate faster. Deploy new use cases in days.
Shared infrastructure for all users. Choose your preferred data processing engines for every workload.
Decouple compute and storage. Optimize performance for big data workloads.
Automation features enable self-service while reducing total spend on cloud infrastructure.
As a cloud-native platform, with a significant headstart on both Hortonworks and Cloudera on the cloud, Qubole achieves 30-40% better query performance for Apache Spark and 20% better query performance for Hive.
To realize the full benefits of the cloud, you need a platform built for the cloud. Unlike legacy on-premises platforms, Qubole’s cloud-native platform provides sophisticated workload-aware autoscaling, automatic cluster start/stop, and heterogeneous cluster configurations that help optimize and reduce infrastructure costs by 50 percent or more.
Cloudera and Hortonworks have significant product overlap, and it is unclear which offerings will survive the merger or if cross-product synergies even exist. Now is the ideal time for customers to switch to a platform like Qubole — a company with a dedicated investment in product stability, cloud technology, and the future of big data.
On-premises Hadoop vendors cannot support the infrastructure demands of advanced analytics and AI/ML. Qubole is an agile, scalable platform that combines structured, semi-structured, and unstructured data for use with your open source big data frameworks of choice.
Qubole automates the installation, configuration, and maintenance of clusters, multiple open source engines, and purpose-built tools for data engineers, data scientists, and data analysts. This is how Qubole delivers administrator-to-user ratios of 1:200 or higher.
“I am very happy with Qubole! Our goal at MediaMath was to take our existing industry-leading infrastructure to the next level handling new complex analytics tasks. Qubole has helped us achieve this goal with minimal risk. Rene Englehardt, VP Analytics, MediaMath
“Qubole helped prevent us from making bad decisions that cost the business tens or hundreds of thousands of dollars. Robert Barclay, VP of Data and Analytics, Return Path
“Qubole gave us the usability and scalability we need to drive insights from adoption of big data across our entire enterprise. Making our business users self-sufficient got us where we wanted to be. Adam Rose, Head of Engineering, Adobe Advertising Cloud
Thank you for requesting the 2018 Cloud Big Data Platforms Buyer Guide. You’ll receive an email shortly with the buyer guide asset.
You’ll hear from us shortly.