Faster Innovation for Secure Scale-Out Deployments
Real-time data streaming with Kafka, enterprise-grade security and high availability that make it simpler for DevOps to innovate without disrupting data services.
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MariaDB® Corporation, the company behind the open source database, announced the general availability of MariaDB MaxScale 2.0, which adds new data streaming integration with Kafka, better security and high availability capabilities. MariaDB MaxScale is a next-generation database proxy that manages administrative functions like security, scalability, data streaming and high availability, enabling the database to focus on core functionality to drive faster innovation.
“To stay competitive, enterprises need to be highly responsive to allow for changes to web applications without downtime to the application or backend infrastructure,” said Roger Bodamer, chief product officer at MariaDB Corporation. “MariaDB MaxScale decouples admin functionality from the database so the database and applications run at peak performance at scale. This decoupling enables businesses to iterate quickly to support the speed of innovation.”
“At DBS Bank, we’re investing heavily into analytics,” said Madan Sugumar, application architect, Institutional Banking at DBS Bank. “The data streaming capabilities offered with MaxScale 2.0 will be a powerful new tool to stream the data from our MariaDB database and our Hadoop clusters. Ability to stream data from our OLTP MariaDB database to our Hadoop cluster in real time is critical for us to have real-time insight into our customer data. We’re excited to add this to our current MaxScale environment.”
At its core, MaxScale has a multi-threaded, event-driven engine with its main functionality provided by plugins loaded at runtime. MaxScale plugins can handle the scalability and availability of a database cluster, and also secure it and manage maintenance downtime. The unique plugin architecture of MaxScale makes it simple to extend with custom plugins that handle new tasks easily, enabling community contributors to extend the range and reach of MaxScale at every functional level.
- MaxScale 2.0 adds change data capture (CDC), which captures and streams all transactional data changes. This makes the data easily accessible to big data stores, like Hadoop, through messaging systems, like Kafka, for real-time analytics and machine learning applications.
MaxScale 2.0 builds on its advanced database firewall feature to also add end-to-end SSL to prevent unauthorized data access; MaxAdmin security enhancements to prevent attackers from gaining access and damaging configurations; and connection rate limitation to prevent DDoS attacks.
- MaxScale’s high availability solution allows applications to be 100 percent operational without any single point of failure. MaxScale 2.0 adds a new feature to ensure there is no impact on read transactions when a node fails so user experience is never compromised.
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