Continuent, Inc., a leading provider of open source database clustering and replication solutions, today announced Continuent Tungsten 3.0, a powerful solution that combines advanced clustering and replication technologies to meet the transaction processing and analytic needs of the entire business. Continuent Tungsten 3.0 enables constant, high-speed and always-available access to data, combined with the ability to process transactions over multiple sites while tightly integrating transaction processing with data warehouses and analytics. This new solution exemplifies the concept of Data Fabric by providing a complete set of integrated systems to solve business problems.
“Continuent's Tungsten offers a combination of clustering of MySQL™ databases and replication to and from emerging 'big data' platforms.”
"Enterprises are increasingly looking for data management offerings that enable them to configure and manage database services that span on-premises and cloud deployment, as well as enabling integration with other data platforms such as Hadoop™," commented Matt Aslett, Research Director, Data Platforms and Analytics, 451 Research. "Continuent's Tungsten offers a combination of clustering of MySQL™ databases and replication to and from emerging 'big data' platforms."
Continuent Tungsten 3.0 fulfills the Company’s goal of providing complete data management that satisfies the full range of business requirements. The new solution, which is a unified release of industry-proven Continuent Tungsten and Tungsten Replicator offerings, takes management of business-critical data to a new level with certified combinations of clustering and replication in a holistic solution.
“Continuent Tungsten provides us with continuous database operation and zero downtime maintenance, which enables us to run business-critical applications,” said Matthew Lang, Senior Site Reliability Engineer at Modernizing Medicine. “More importantly, it lays the foundation for data management that covers multiple DBMS types, not just MySQL, with enterprise quality availability, disaster recovery, and integration to data warehouse and analytic systems.”
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