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New From Treasure Data: Viewer and Query Accelerator Analytics Tools

Touts 50% added customer rate Q/Q.

Treasure Data, Inc. is demonstrating growth in capabilities, customers, and data volumes.

Customers are being added at a rate of over 50% quarter over quarter since the managed service went live a year ago and customer data flowing through the service is growing at a rate close to 90% quarter over quarter, recently reaching two trillion rows loaded into the service.

The company provides a cloud service for acquisition, storage and analysis of big data to address the entire data pipeline, making each step in the process easy for end-users at a flat, monthly rate. The service supports structured and multi-structured data types, including web, application, mobile, log, sensor and machine data. Even with enormous amounts of data, customers see time to value because of the fast setup of this managed service.

The team is committed to making analytics easier for its customers by adding capabilities, so it announces two products:

  • Treasure Viewer, a visualization tool that allows business analysts to understand and explore their data before connecting to popular BI/analytics tools, and
  • Treasure Query Accelerator, which complements the Hadoop-based service, enabling a higher-performance option for ad-hoc queries.
  • It has also enhanced Plazma, its columnar cloud database infrastructure, to provide customers additional processing power (up to four times), at no cost to support short-term processing needs.

At Treasure Data, we have seen a shift in the need from enterprise companies to put the power of big data directly into the hands of it business analysts quickly in order to drive the business forward. We work with our customers to deploy their programs quickly – many times in less than 14 days – and remove the complexity of collecting, storing and analyzing data that allows them to yield results from big data initiatives right away,” said Hiro Yoshikawa, CEO, Treasure Data.

Since the beginning of the year the business has added such companies as: MobFox, Developer Force, Cookpad and Densu. Two vertical areas have emerged as early adoption and success – digital marketing and advertising, and online and mobile video gaming. Commonalities between the two include: enormous amounts of real-time data, business users that need hands-on access to data and the need to analyze various structured and unstructured data types in one system. Both industries are using big data to change the way business is done.

Deploying Treasure Data was simple and fast; within days, our team was able to easily acquire and analyze tens of millions of daily log events,” said Danny Zhang, co-founder, ContextLogic, Inc. which runs Wish.com, a social and retail platform with over 16 million members. “We didn’t have to invest in any hardware. The Treasure Data Service saved us valuable time and IT resources.

Treasure Data stands out in a crowded market for its focus on time to value,” said Shawn Rogers, VP research, Enterprise Management Associates. “Organizations can go live on the service in weeks, with no capital investment. This allows companies to get value out of their data faster, while lowering the TCO of their data infrastructure.

To accommodate the enterprise customer growth and take advantage of how cloud is changing service economics, the company is announcing pricing models to help businesses find the option to meet their needs.

  • Starter – $0 per month for 2B rows annually and online support. The Starter option is designed for learning the product’s capabilities, simple prototypes, and non-production usage.
  • Standard – $3,000 per month for up to 15B rows annually, unlimited queries and eight dedicated processing cores. The Basic option allows SMBs to get up and running with their big data program – most customers see almost immediate ROI from these deployments.
  • Premium – $7,500 per month for 50B rows annually, unlimited queries and 16 dedicated processing cores. This option will give customers unlimited storage, compute power, queries and support. Like the Business option, most customers deploy this option and see results within 14 days.
  • Custom – For customers who have unique requirements, special pricing is available.
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