June 17, 2014: Treasure Data Catches the Eyes of Ad Tech Market with First Flexible Cloud Data Service

Unique managed service helps companies process more data faster, reduce costs

Mountain View, Calif. — Tuesday, June 17, 2014 — Treasure Data, a cloud-based, managed service provider for big data, today announced a new offering empowering advertising technology companies to collect, store and analyze enormous data volumes in near-real-time, without operating a costly infrastructure. With millions of ad events created each second, ad tech companies’ competitive advantage is derived from the ability to analyze granular data quickly, a critical capability in a crowded and growing market. Between 2012 and 2017, investment in online and mobile advertising will grow exponentially, increasing from $36.8 billion to $62.8 billion, according to market research firm eMarketer.

Treasure Data’s cloud-based, managed service has been transformational for publishers, advertisers and marketplaces. It offers fast, easy and cost-effective capabilities for data processing at massive scales. These are delivered in a managed service model, where Treasure Data staff maintains the entire platform, similar to a software-as-a-service. The Treasure Data Service offers integrated data collection, elastically scalable storage and multiple analytic engines. Customers can run scheduled or ad hoc SQL queries on their data, and may easily connect business intelligence or visualization tools. Query results or datasets may be exported anytime for free to a range of other sources, making the service easy to integrate into existing data infrastructures. Customers pay a flat monthly subscription fee for access, based on data storage and processing requirements, with a very low Total Cost Ownership compared to self-managed technologies like NoSQL big data stores, cloud-based architectures, data warehouses or dedicated server farms.

Many growing companies in the ad tech industry already rely on Treasure Data – read the full article

Comments are closed.