Addressing Multiple Industry Requirements
Online data retention is a key requirement for many organizations today that are faced with large and growing volumes of data which is largely driven from two areas; the first being the unavoidable fact that industry regulations dictate the retention of detailed transactions which should remain online, available and fully auditable for distinct time-periods. The second most pressing driver to retain enterprise data is the fact that the business simply demands it and multiple functional areas require ongoing access to larger data sets to enable better analytics and decision-making. These demands are constantly evolving and in many cases, the more data end-users have, the more they want and the more sophisticated their demands become.
RainStor’s technology is very well suited to managing and retaining large volumes of structured and semi-structured data, which can be deployed for multiple use-cases and solutions. Working with leading industry ISV’s, RainStor can be the primary repository or augment an existing primary OLTP or OLAP environment. Because you can easily move data in and out of RainStor, it co-exists well alongside other database environments including Oracle, IBM, DB2, SQL Server and leading data warehouses such as Teradata, Netezza and Vertica.
RainStor’s database provides distinct differences with other databases because it provides a combined best-of-breed set of capabilities focused on data ingest, reduction, compliance, scale and overall management. Key sectors that RainStor supports include:
Retention of stock tick and trade data that needs to be online for very specific timeframes given regulatory requirements and also available to business analysts for ongoing query.
Collection, management and storage of meter data from smart-grid networks with ongoing access for regulators in addition to end-users and the utility providers.
Storage and retention of net-flow and network packet data to build and improve monitoring and overall management of network security.
Manufacturing, Oil and Gas & Process Automation:
Retention of sensor and engine data for ongoing reporting and performance analysis.
