Is your on-prem big data platform turning your data team into a bottleneck?

Download the 2018 Cloud Big Data Platforms Buyer Guide to learn how companies are benefitting from the adaptability, scalability and agility of cloud infrastructure and succeeding with big data on the cloud.

3x FASTER
TIME TO VALUE

Eliminate data silos and iterate faster. Deploy new use cases in days.

SINGLE PLATFORM FOR END-TO-END ML/AI & ANALYTICS

Shared infrastructure for all users. Choose your preferred data processing engines for every workload.

BUILT AND OPTIMIZED FOR THE CLOUD

Decouple compute and storage. Optimize performance for big data workloads.

MASSIVE SCALABILITY AND SUSTAINABLE CLOUD ECONOMICS

Automation features enable self-service while reducing total spend on cloud infrastructure.

Top 5 Reasons Qubole is Better

Up to 40% better performance than Cloudera/Hortonworks

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.

Reduce CAPEX and OPEX by 50% or more

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.

Avoid disruptions with clear product direction

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.

Easily scale your ML/AI and Analytics on the cloud

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.

Enable self-service access to Data Lakes without breaking the bank

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.

See What Our Customers Are Saying

VIDEO TESTIMONIAL
MediaMath
VIDEO TESTIMONIAL
Return Path
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

Learn More

WEBINAR
Introduction to Qubole: A Data Platform Built to Scale
ARTICLE
Cloud vs. On-Premise Hadoop
WEBINAR
Moving Big Data to the Cloud? Here’s Why You Need a Cloud-Native Data Platform
BLOG
Read Qubole’s CEO Ashish Thusoo’s Blog

Our team of solutions experts will guide you through a step-by-step needs assessment for your big data infrastructure on the cloud.