Financing will Accelerate Access to Massive Data Volumes from Mobile, Web, Internet of Things and Big Data

Flexible cloud service eliminates skill, complexity and time barriers with single platform for SQL access and analysis of mobile, web, IoT/connected device and other big data. January 14, 2015. Mountain View, CA — Treasure Data, a leader in cloud services for massive data processing, announced today it has raised $15 million in Series B financing, led by Scale Venture Partners, to expand its services and operations. All current board members or their respective funds, including Tim Guleri, Bill Tai and Morio Kurosaki, also participated in the financing round, in addition to AME Cloud Ventures, a venture fund led by Yahoo! founder Jerry Yang. With Treasure Data’s cloud service, customers can begin to leverage their largest data sources without significant investments in time, specialized skills or new infrastructure. An alternative to Hadoop platforms or services, Treasure Data’s cloud service and technology are specifically designed to provide an easier way to manage and analyze high-volume, high-velocity, semi-structured data generated by mobile applications, Internet of Things (IoT)/connected devices, large websites, cloud applications and other big data sources. Customers currently send approximately 400,000 data records per second to the service, and one Treasure Data customer uploads approximately 12 billion data records per day. “We spent a lot of time researching next generation cloud architectures, and Treasure Data is the only service that allows companies to easily gather, store and analyze real-time, streaming data in the cloud,” said Andy Vitus, Partner with Scale Venture Partners, who will join the Treasure Data board of directors. “They eliminate the complexity of managing big data, empowering customers to focus on their own businesses. We look forward to working with them on the next phase of growth.” Treasure Data’s cloud service includes capabilities for data collection, storage and SQL analysis. Multiple data collection methods enable companies to easily collect their data in near real-time, and the unique platform architecture stores and organizes data for immediate use. As soon as data is loaded, customers – often analysts, data scientists or engineers – can immediately view their data in tables, analyze with SQL and then view, store or export query results, all from a single intuitive interface. Customers pay only a flat monthly subscription fee to access the cloud service, which is prebuilt, maintained and supported by Treasure Data. “Companies have found the scale and velocity of IoT and big data to be very challenging,” said Hiro Yoshikawa, founder and CEO of Treasure Data. “As a result, they spend far too much time and money building data infrastructures that serve only to distract them from their primary business objectives. We give our customers an easier way to manage massive data volumes while retaining flexible access to the raw data. It’s the optimal balance of flexibility, cost-effectiveness and ease of use.” Treasure Data is already transforming the data economics of organizations across the globe. Corporate customers, including Equifax, Pebble, GREE, Wish.com and MobFox, trust Treasure Data to collect, store and analyze massive volumes of data that they use to enhance their mobile apps, websites, connected products and other services. Pioneer, for instance, relies on Treasure Data for its vehicle telematics services. Treasure Data also recently:

Partnered with Yahoo! JAPAN on a big data service focused on digital marketing.
Was named one of four “Cool Vendors in Big Data, 2014” in a report by Gartner, Inc.
Developed new IoT data collection technologies for embedded devices and sensors.
Released new mobile and web data collection methods, making it easier to collect data from devices and applications.

“We see significant opportunities for service providers that mask the complexity of configuring and deploying ‘big data’ processing and analytics infrastructure, particularly as mainstream adopters look to take advantage of technologies such as Hadoop but lack the skills to do so,” said Matt Aslett, research director, data platforms and analytics, 451 Research. About Treasure Data Treasure Data was founded in 2011 with the mission of building the first prebuilt cloud service for massive-scale collection, storage and analysis of big data sources, including web, mobile, web, IoT/sensor data, logs and events. The cloud service is 100 percent prebuilt, monitored and supported by Treasure Data staff, similar to a software-as-a-service. This gives its customers an end-to-end big data processing capability at a fraction of the cost of building and maintaining it themselves. Treasure Data’s customers collect, store and analyze tens of billions of records a day on the cloud service, enabling new applications and granular insights into customers, products and operations. A rapid two-week setup time and flat-rate monthly subscription model mean companies can start collecting and leveraging their big data right away, months faster than building their own infrastructure. The Treasure Data Service is accessed by more than 800 users from corporate customers including Pioneer, Yahoo! JAPAN, Pebble, Equifax, Wish.com, MobFox, GREE and other Global Fortune 500 companies. Learn more or try the service for free at TreasureData.com.

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