Cluster Distributed Database System

Help me choose:  Distributed Database Options 

eXtremeDB Cluster: McObject’s distributed database system for high performance applications

eXtremeDB Cluster is McObject’s ultra-efficient distributed database system.  eXtremeDB Cluster manages databases across multiple hardware nodes, enabling two or more servers to share the workload. It is unique as the first clustering database system to offer an embedded architecture: the database system runs within the application process at every node, eliminating the need for separate client and server modules.

This design eliminates inter-process communication (IPC) overhead within nodes of the distributed database, accelerating performance. It also reduces complexity, contributing to higher reliability and simplified deployment and maintenance.

In clustering database deployments, every eXtremeDB database instance serves as a master. Changes to one node are efficiently replicated to others.

Benefits include dramatically increased available net processing power, lower system expansion costs (through use of low-cost “commodity” hardware), and maximum scalability and reliability.

Figure 1. eXtremeDB Cluster delivers a simplified distributed database system. This low complexity enables McObject’s clustering database software to deploy quickly and reduces cost-of-ownership.

A local tables option speeds processing by enabling nodes to define data sets to be managed without cluster-wide replication. For example, all nodes in a database cluster might share a market data feed and historical database, but an application at node A might calculate, and store in a local table, volume-weighted average price (VWAP) while its counterpart at node B calculates and stores results of a mean reversion algorithm. In keeping with eXtremeDB’s embedded nature, the local tables option provides APIs that allow a node to “gather” a table from another node, and to “scatter” its local table(s) to another node(s).

Lower Complexity = Lower Costs

Clustering database solutions based on relational database management systems (RDBMSs) can entail separate sets of nodes for clients, database servers and SQL processing, as well as dedicated server and client software for management tasks.

Figure 2. Distributed database solutions based on cluster RDBMSs are highly complex, which makes them slow to roll out and expensive to implement and maintain.

With this level of complexity, it’s no surprise that extensive consulting engagements are typically part-and-parcel of RDBMS cluster deployments.

eXtremeDB’s streamlined architecture integrates the functions described above on the individual cluster nodes, greatly simplifying system deployment and updates. By eliminating complexity, McObject’s distributed database reduces cost-of-ownership.

Accelerated Performance, Powerful Features

In McObject’s benchmarks, eXtremeDB Cluster delivered breakthrough performance, including an astonishing 161% throughput improvement when scaling to four cluster nodes from one node.

Distributing the system across multiple hosts ensures continuous availability in the event of a failure on one node. The “shared nothing” clustering architecture in eXtremeDB eliminates reliance on a shared SAN or other storage resource. Multiple platforms (e.g. Linux and Windows) are supported within a single database cluster.

eXtremeDB’s clustering database supports ACID transactions, making it the best option for applications that demand integrity of distributed data.

Proven eXtremeDB Cluster building blocks