Online Transaction Database
In recent years, clustering has become the technology of choice for database systems. It has proven to be the most efficient way to meet today’s business requirements: high performance, high-availability, and scalability at a lower cost of ownership. In order to achieve these goals it is critical to choose the right interconnect solution.
One of the most important parameters that a business process must meet is its Recovery Time Objective (RTO), which defines the maximum allowed downtime of a service due to failure. Not meeting RTO can result in the unacceptable consequences associated with a break in business continuity. As most enterprise applications use databases, RTO must also include the time required to restore the entire database. For example, the expected RTO for databases used in data warehouses is between 12 hours and a few days. However, this RTO range surely cannot apply to Online Transaction Processing (OLTP) systems, where the expected RTO is much more challenging and is in the order of minutes to a few hours, depending on the size of the database storage.
Today's 10/40GbE/s networks presented a number of challenges: Scaling the architecture and technology infrastructure is expensive and time consuming; the company's ability to meet the demands of a near-real-time response to its mobile customers is limited; and, in case of database failure, database restore times are extremely slow. Consider using a faster and more efficient interconnect technology that would enable all these demands to be meet, while also cutting down the costs associated with maintaining the infrastructure.
Mellanox InfiniBand and Ethernet technologies supports the deployment of a single database across a cluster of servers and provides superior fault tolerance, performance, and scalability without any need to change applications. The solutions provide a near-real-time response, and shorter recovery times. In addition, it offers customer continuous uptime for all of its database applications, on-demand scalability, lowered computing costs, and record-breaking performance.