Qubole sets your Hadoop cluster on auto-pilot. We scale up to match your usage, and spin down nodes when you don’t need them. Qubole starts and runs faster than Amazon EMR
Query editor for Hive, Pig and MapReduce. ETL and data pipeline builders. Utilization dashboard, S3 exploration, an expression evaluator, sampling and more
Qubole integrates with S3, MySQL, Postgres, Oracle, RedShift, MongoDB, Vertica, Omniture, Google Analytics, and your on-premise data
All plans start with a fully featured 15-day FREE trial. No credit card needed.
|Unlimited User license|
|$999 / Month|
|10 User license|
|$199 / Month|
|3 User license|
|1 User license|
Prakash Janakiraman, Co-Founder and VP Engineering
Systems via a Flume that writes data out to Amazon S3. From there, we use a data processing pipeline hosted by Qubole to process and aggregate statistics to Hive (computing)tables and to an AWS Redshift based data warehouse
Yali Sassoon, Co-founder
Qubole is a significantly more polished product than EMR. Data scientists can explore their data in S3, create tables and query those tables all via an easy-to-use web UI
Joris Spermon, VP Tech & Development
Qubole’s fantastic support has been key in our successful deployment. They continue to deliver of new features and revisit the ones that we ask for
Marc Rossen, Sr. Director Data and Analytics
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 enable this goal with minimal risk.
Nicholas Andonakis, Senior Product Analyst
Instead of worrying about provisioning clusters of machines or job flows or whatever, Qubole lets you focus on your data and your queries … The Qubole guys have been extremely helpful!
Derrick Harris, Senior Writer
The service spins up users’ clusters only when a job is started, then automatically scales or contracts them based on the workload, and spins the servers down once the job is done.
Senior Director, Game Dev Ops and Analytics
Qubole’s Hadoop and Hive interfaces are vastly superior to the default CLIs, which scare business analysts and hinder meaningful analyses of the gaming logs that we collect. With Qubole, business analysts are self-sufficient in using a Big Data platform to meet their advanced analytic needs.
Online Gaming Company
Geoff Domoracki, Founder and CEO
top-performing technologies in the data industry are definitely taking aim at democratizing data tools and bringing the power of data to smaller businesses. This is a major change in the data industry, and Qubole Data Service is a great example
I’m very happy to be using Qubole in production. Qubole has saved me a lot of time, effort, and trouble in getting my data processing pipelines up and running. My data pipelines process Appnexus data in Amazon S3 which is then stored in Vertica. The engineering team understands the complexities and provided awesome support!
Real-time Ads Retargeting Startup
Derrick Harris, Senior Writer
There’s a whole world of web companies, SMBs and other non-Facebooks or Yahoos that will want to use Hadoop but not want to run it in-house…offering a cloud service makes it easier for these users to get started with the platform and for Qubole to keep improving.
Christian Prokopp, Contributor
Qubole offers a big data ETL and exploration service through auto-scaling Hadoop clusters with a web user interface for data exploration and integration with various data sources. The service can do (nearly) everything EMR can do, and it goes further
Big Data Republic
George Chow, CTO
Simba knows Big Data access. Qubole knows Big Data. Qubole’s founders authored Apache Hive, built key parts of the Hadoop eco-system and brought Apache HBase to Facebook
Paul Lilford, Channel Director
“The integration of Tableau and Qubole makes it faster and easier for our customers to operationalize Big Data…lowers the resource barriers to deriving the benefits of Big Data because customers can deploy our joint solution seamlessly and cost effectively.”
In this Webinar, Rajat Venkatesh of Qubole will demonstrate how to build a Big Data application from start to finish using Qubole and RoR – tutorial included!
Shrikanth Shankar from Qubole demonstrates how to create and submit several different Apache Hive UDFs and deploy them to your Big Data application
In this Webinar, Ashish Thusoo (co-founder of Apache Hive) and Sadiq Shaik (Qubole) will provide hands-on training on building high-performance, scalable Hive Queries.
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