December 10, 2013

Treasure Data Partners with Tableau for Big Data Analytics

Treasure Data Partners with Tableau for Big Data Analytics - Delivers big data solution in days for Getjar and other customers Mountain View, Calif. -- December 10, 2013 -- Treasure Data, a cloud data service provider, has partnered with Tableau Software, (NYSE: DATA) a global leader in rapid-fire, easy to use business analytics software to help customers see and understand their data. The combination of technologies helps customers deploy end-to-end big data analytics solutions in days, quickly delivers insight from massive amounts of data, and drives faster data-driven business decisions. The two companies also share a vision of simplifying and transforming the way companies derive value from their data to support innovative new business strategies. Tableau's powerful data visualization tools extend Treasure Data's capabilities for acquiring, storing, and analyzing data in a managed cloud service. This combination allows customers to create dynamic visualizations, interactive analytics, and shared insight. The emphasis from both companies is on rapid time to value, responding to customers' need to deploy analytics quickly so they can leverage new big data types, and making smarter, faster business decisions. With the Tableau technology directly integrated into the Treasure Data Service, customers alleviate the need for big data to be moved out of the cloud, therefore speeding and simplifying the data management process and making big data analytics accessible to more people within the organization. "Using Tableau and Treasure Data benefits our customers, business analysts, operations and engineering staff," said Simon Dong, Principal Architect of Data Engineering for Getjar, Inc., a mobile application distribution and advertising network. "Tableau's intuitive design helps our staff analyze data, create visualizations and react quickly to changes, while the Treasure Data Service provides a simple and reliable approach for engineering to collect, store and process massive data volumes with low latency." "With the amount of data being produced today, organizations need to reduce process redundancy, more efficiently analyze new big data types and scale their businesses based on data-driven decisions," said Hiro Yoshikawa, CEO of Treasure Data. "Bringing Tableau's trusted and established visualization tools into the Treasure Data service allows customers to more efficiently analyze all types of data, uncovering insights to transform their organization." As companies turn to the cloud for big data deployments, Treasure Data leads the market with the first service to address each phase of the data pipeline. "The Treasure Data/Tableau partnership provides unprecedented scale and simplicity to our customers' big data projects. The joint Tableau and Treasure Data solution helps customers at each stage of the process, thereby reducing management time and costs of the analytic infrastructure," said Dan Jewett, Vice President of Product Management at Tableau Software. About Treasure Data Treasure Data was founded in 2011, with the mission of building the first end-to-end cloud service for the entire data pipeline of acquisition, storage and analysis. Since the service launched in 2012, thousands use its free Starter version and its 90+ corporate customers include MobFox, Getjar, GREE and several Global Fortune 500 companies. Sign up or learn more at www.treasuredata.com. About Tableau Tableau Software (NYSE: DATA) helps people see and understand data. Tableau helps anyone quickly analyze, visualize and share information. More than 15,000 organizations get rapid results with Tableau in the office and on-the-go. And tens of thousands of people use Tableau Public to share data in their blogs and websites. See how Tableau can help you by downloading the free trial at www.tableausoftware.com/trial. Tableau and Tableau Software are trademarks of Tableau Software, Inc. All other company and product names may be trademarks of the respective companies with which they are associated.

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