Supports Kerberos authentication to satisfy enterprises' demand for high security. Provides a level-based tenant model and allows tenants to be added dynamically.
Simplifies operation and maintenance (O&M) with a reliable, self-tuning, and easy-to-use O&M platform.
Supports automatic failover to provide 99.9% service availability. Stores multiple data copies, ensuring up to 99.9999% data reliability.
Separates computing and storage resources. Computing clusters are created on-demand and can be released after jobs have been executed.
Embraces the open source big data ecosystem and is compatible with open source interfaces. Provides REST API and JDBC for easy interconnection with other services.
analysis and processing of massive sets of data, online and offline analysis, and business intelligence
processing of massive data sets, heavy computing workloads, long-term analysis, and data analysis and processing on a large number of computers
log analysis, online and offline analysis, simulation calculations in scientific research, biometric analysis, and spatial-temporal data analysis
storage and retrieval of massive sets of data and data warehouse
storage, retrieval, and disaster recovery of massive sets of data with zero data loss
log storage, file storage, simulation data storage in scientific research, biological characteristic information storage, genetic engineering data storage, and spatial-temporal data storage
real-time data analysis, continuous computing, offline and online message consumption
massive amount of data, low latency, high throughput, high reliability, flexible scalability, and distributed real-time computing framework
streaming data collection, active tracking on websites, data monitoring, IoT analysis, and risk control
Isolation Between Data Storage and Computing
Based on OBS data storage, users can use MRS on demand. Computing resources can be released after the users finish data processing, improving resource utilization and saving costs.
Uses the Hadoop, Spark, and HBase processing frameworks. Provides PB- or higher-level data processing capability, which is far better than that of traditional databases.
Users can submit and manage tasks on the management console or using application program interfaces (APIs). The tasks are automatically performed and monitored, and the operation is easy.
Uses the high availability (HA) mechanism for management nodes. Services are automatically switched to the standby node if the active node becomes faulty. Uses the automatic load balancing mechanism for core nodes. If a core node becomes faulty, other nodes automatically take over services of the faulty node. Supports elastic capacity expansion.
Users can send HTTP/HTTPS requests for invoking HUAWEI CLOUD APIs to manage ECSs. This enables users to operate and monitor their applications, resources...