Treasure Data Raises $15 Million in Series B Financing to Accelerate Access to Massive Data Volumes From Mobile, Web, Internet of Things and Big Data

MOUNTAIN VIEW, CA--(Marketwired - Jan 14, 2015) - 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.