MPP Architecture delivers Linear Performance Improvement
Column based database InfiniDB Enterprise delivers a big data management platform with the ability to scale from a single database node to a multi-node, massive parallel processing (MPP) deployment. InfiniDB can use multiple commodity hardware machines to achieve linear increases in overall performance. Adding inexpensive hardware to an InfiniDB configuration allows the MPP database to increase processing power so response times can but cut in half with the addition of new nodes. This makes it easy to adjust for growing business intelligence and big data volumes, increased user activity, or the desire to meet better overall performance goals. Further, this can be accomplished in a dynamic fashion, so InfiniDB can remain online when new nodes are added.
Distributed, Two-Tier Design Makes it Easy to Tackle Big Data for Business Intelligence
InfiniDB Enterprise is a column database that accomplishes distribution of queries in a two-tiered design, with one tier that focuses on query routing and the other that focuses on query execution and return. In a multi-node, scale-out configuration of InfiniDB, big data is distributed among the various nodes of these tiers and their data caches. No node shares data with the other, however all are accessed in the InfiniDB MPP architecture when data is read to satisfy queries. Essentially, InfiniDB creates one large logical data cache that is accessed in a distributed fashion in parallel by all participating nodes. This allows InfiniDB to literally cache large databases when enough nodes are present with generous amounts of memory. Additionally, depending on the amount of data and number of users, nodes can be added to support routing or query execution as your environment dictates, providing flexibility in adding hardware.
With the power of InfiniDB Enterprise you have the ability to handle anything from a small data mart to a large scale, highly available data warehousing environment. Start with the InfiniDB column database and you’ll never outgrow your database engine.