MySQL Cluster - Industry Applications

MySQL Cluster has proven itself as the high availability database of choice for many mission critical telecommunications applications where 99.999% availability and real time performance are key requirements.

MySQL Cluster has also seen rapid adoption within web and eCommerce applications, enterprise and government deployments . Applications taking advantage of MySQL Cluster are characterized by requiring:

• 99.999% availability with sub-second failover and automatic recovery to minimize both planned and unplanned downtime.
• Extreme levels of real-time read / write performance with predictable, ultra-low latency response times.
• Dynamic scalability to meet the most unpredictable volumes of users and transactions.
• Mainly primary key access, or sub-components of a multi-field primary key
• Simple table joins
• Database size less than 2TB

Example application types include those found in the telecommunications and web industries

MySQL Cluster in Telecommunications

MySQL Cluster is already proven in the toughest telecommunications environments delivering higher database throughput and faster response times at 10x lower cost than proprietary clustered shared-disk databases¹, with the added benefit of running on commodity hardware and operating systems. Customers include Alcatel Lucent, Cisco, Deutsche Telekom, Ericsson, Nokia Siemens Networks and UTStarcom.

Typical use cases include:

• Subscriber Databases (HLR/HSS)
• Service Delivery Platforms
• Telecoms Application Servers
• VoIP, IPTV & VoD
• Mobile Content Delivery
• On-Line app stores and portals
• DNS/DHCP for Broadband
• Data Store for LDAP Directories
• AAA Databases

MySQL Cluster in Web & eCommerce Applications

MySQL Cluster is already powering a range of web and eCommerce applications to grow customer revenues and enhance loyalty, with services delivering the highest levels of availability and real-time performance, including:

• eCommerce (customer and order data, payment processing, product inventory tracking, etc.)
• Web Session Management
• Social Networks (user profiles, authentication, real-time status updates, etc.)
• On-Line Content Delivery (i.e. user data, content catalogs, subscription processing & management)
• Service Authentication, Authorization & Accounting
• Near Real-Time Data Analysis (using Geographic Replication to update MyISAM, InnoDB, etc. tables with real-time transactional updates from MySQL Cluster)

¹ /why-mysql/case-studies/mysql-cs-alcatel.php