SOURCE: Qubole


May 21, 2015 11:23 ET

TubeMogul Standardizes on Qubole Big Data-as-a-Service Platform

Qubole Provides Fast, Easy Access to Data and Insights Across TubeMogul's Business While Reducing Costs

SAN FRANCISCO, CA--(Marketwired - May 21, 2015) - ad:tech -- Qubole, the big data-as-a-service company founded by the team that developed Facebook's data infrastructure, today announced that video advertising platform, TubeMogul (NASDAQ: TUBE), is using Qubole Data Service (QDS) for data analytics across the organization. With more than 30 users across TubeMogul's marketing, business intelligence, machine learning, and engineering teams regularly using Qubole's big data in the cloud platform, TubeMogul has doubled the amount of data processed in half the time, while reducing costs by 33 percent.

"Qubole's web-based console simplifies the process of setting up and scaling clusters and managing accounts," said Adam Rose, Chief Technical Officer of TubeMogul. "Analysts are able to use SQL and schedule queries to be executed at pre-defined intervals instead of writing scripts or Python code. Making our business users self-sufficient got us where we wanted to be."

TubeMogul's software enables brands and advertisers to buy video advertising in real-time across multiple devices and formats using one comprehensive platform. The company's video advertising business employs big data analysis from ad serving, targeting, optimization, brand lift measurement and more.

One of the biggest priorities at TubeMogul was to make data easily accessible to non-engineering groups. Big data was in high demand across the whole organization. For example, marketing sought insights to educate customers and establish insights around best practices and trends. Marketing research analysts needed to understand trends in viewability, inventory available, price and much more. The machine-learning team sought to make TubeMogul's advertising more relevant by optimizing the process of presenting the right ad to the right person at the right time.

Qubole Data Service is a self-service platform for big data analytics that runs on the three major public clouds: Amazon AWS, Google Compute Engine and Microsoft Azure. QDS is a fully managed big data offering that leverages the latest open source technologies, such as Apache Hadoop, Hive, Presto, Pig, Oozie, Sqoop and Spark, to provide the only comprehensive cloud-based data analytics platform complete with enterprise security features, an easy to use UI and built in data governance.

"TubeMogul has fully embraced big data in the cloud and is reaping the benefits of it every day," said Ashish Thusoo, co-founder and CEO of Qubole. "It is also a great example of how making data accessible to core teams across the business, and even to partners and clients, creates tremendous value. We're proud to call TubeMogul a customer and we continue to see strong traction in the ad tech and marketing tech market."

To learn more, visit Qubole in booth #1533 at ad:tech in San Francisco, May 20 and 21, 2015.

About Qubole
Qubole is a big data-as-a-service company that provides a fast, easy and reliable path to turn big data into valuable business insights. Qubole's cloud-based platform addresses the challenges of processing huge volumes of structured and unstructured data. It uses clouds such as Amazon Web Services, Google Compute and Microsoft Azure to help enterprises put big data processing in the hands of their users while enabling their operations teams to be nimble and adaptive to their users' needs. Qubole achieves this through features such as auto-scaled big data clusters and integrated tool sets for data analysts, developers and business users. With more than 100 PB of data processed every month across its customer base, Qubole's platform makes enterprises agile with big data.

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