MRS Versus User-Built Hadoop

MRS is built based on Huawei FusionInsight big data enterprise-class platform, and has been deployed on tens of thousands of nodes in the industry, providing multi-level SLA assurance with professional Hadoop kernel service support. Compared with self-built Hadoop clusters, MRS has the following advantages:

• MRS supports one-click cluster creation, deletion, and scaling, and allows users to access the MRS cluster management system using EIPs.
• MRS supports auto scaling, which is more cost-effective than self-built Hadoop clusters.
• MRS supports decoupling of storage and compute resources, greatly improving the resource utilization of big data clusters.
• MRS supports self-developed CarbonData and Superior Scheduler, delivering better performance.
• MRS optimizes software and hardware based on Kunpeng processors to fully release hardware computing power and achieve cost-effectiveness.
• MRS supports multiple isolation modes and multi-tenant permission management of enterprise-level big data, ensuring higher security.
• MRS implements HA for all management nodes and supports comprehensive reliability mechanism, making the system more reliable.
• MRS provides a visualized big data cluster management interface in a unified manner, making O&M easier.
• MRS has an open ecosystem and supports seamless interconnection with peripheral services, allowing you to quickly build a unified big data platform.

For details, see List of MRS Component Versions.