Key Features

Continuent offers a wealth of solutions for MySQL and PostgreSQL users proving the following key features in five (5) main categories:

Data Management
Tungsten allows users to manage a group of databases linked through replication as a single, integral unit, using simple commands and without any single point of failure in the system. Data management functionality includes command line management, automatic datasource detection, manager command backgrounding, remote management API, service configuration/removal tool, and simple procedures for updates and maintenanc.

Advanced Data Management features include business rule-driven management with automated failover and management for SaaS multi-tenant systems. Monitoring features include remote monitoring API, event notifications, remote problem diagnosis.

High Availability
Tungsten provides simple, automated failover procedures to allow applications to switch to replicas quickly, seamlessly, and without risk of data loss. High availability issues can be divided between continuous operation during emergency failures (unplanned outage) and continuous operation during maintenance (planned outage).

High Performance
Faster hardware and increasing data volumes raise the bar for application performance. Tungsten offers capabilities that are well-suited to take advantage of multi-core architectures and cheap memory. Tungsten high performance functionality addresses replication issues and load balancing operations.

Data Protection
Tungsten integrates advanced replication and backups to ensure complete protection from the DBA’s worst nightmare: losing data. Tungsten data protection functionality addresses data loss and data consistency issues, backup, and disaster recovery deployments.

Data Integration, Filtering and Archiving
Data integration includes extending to new data sources, replication to/from applications, replication to/from message bus software, and replication to any JDBC-enabled database. Data filtering and archiving features include extensible data filters, data filter libraries, data archive policies, and data archive provisioning.