To be preferred partners in today’s supply chains, businesses must do more than deliver differentiated goods and services efficiently. They also must deliver information that enhances their partners’ business decision-making. Examples of such advanced practices are many. Leading consumer packaged goods (CPG) manufacturers allow retailers to reach directly into their databases to analyze and direct inventory, promotions and other joint business activities. Effective distributors provide direct access into their databases to eliminate the tedious process of transferring data to their customers’ own databases. Savvy market data vendors deliver market trending data via the Web from centrally managed databases. Telecommunications companies allow consumers direct access to information about billing, plans and upgrades. In all these cases, the data providers promote information access as a primary service to retain current customers, attract new prospects, grow their own businesses and gain an edge on the competition.

These companies in effect become providers of information as a service (IaaS). These services are competitive differentiators for both providers and their partners, but delivering them is not a simple task. It may require supporting many thousands of customers and assuring the security and isolation of each customer’s data, while also supporting the company’s internal data analysis requirements, keeping up with data changes and not overtaxing the IT staff and budget with demands to support rapid growth in volumes of data and numbers of users. Unfortunately, most of today’s data management systems are not up to the task, having been built on relational database management system (RDBMS) technology, which hasn’t changed fundamentally since the 1970s.

Relational databases originally were designed to support numerous concurrent transactional queries – not multiple concurrent analytic queries. Systems for data warehousing were meant to accommodate a limited number of internal business analysts, not an onslaught of customer queries from ordinary business users. To support thousands, even millions of customer queries simultaneously, organizations face a choice: make huge investments in adapting their RDBMS software and supporting hardware or find an alternative architectural approach to data management. For most companies, only the latter option is an economically feasible solution to this challenge.

HyperRoll’s Data Performance Management System™ delivers such a new architectural approach. Using HyperRoll allows providers of information as a service to manage the technological challenges that underlie their service. It can support tens of thousands of users, scale to terabytes of data, secure the data, speed query times to provide instant access with virtually no latency, and allow updates to data without impacting user access. And it runs on off-the-shelf hardware. For more information about how HyperRoll can fit your IaaS needs, please contact us for an in-person briefing by sending an e-mail to info@hyperroll.com.