MapReduce Service

MapReduce Service (MRS) provides enterprise-level big data clusters on the cloud. Tenants can fully control clusters and easily run big data components such as Hadoop, Spark, HBase, Kafka, and Storm. You can buy MRS clusters directly or in a DeC.

Starting from ¥2.25/hour, more cost-effective for 1-year subscription

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  • Price Reduction: Lower Price, Higher Performance
Product Advantages
  • Enterprise Level

    MRS is based on the Huawei FusionInsight platform. It provides enterprise-level scheduling to isolate resources, and ensures Service Level Agreements (SLAs) for multi-level users. MRS has been deployed on tens of thousands of nodes.

  • Easy O&M

    MRS leverages a dedicated enterprise-level cluster management system so you can easily manage big data platforms. Platform exceptions are reported by SMS or email. O&M has never been easier.

  • High Security

    With Kerberos authentication, Huawei's security expertise, and Germany PSA security certification, MRS provides role-based access control and sound audit functions to ensure 360-degree protection.

  • Low Cost

    Equipped with a diversified cloud infrastructure, MRS offers extensive computing and storage choices for those on a budget, meaning on-demand operations for MRS clusters and cluster capacities.

Application Scenarios
  • Large-Scale Data Analysis

  • Large-Scale Data Storage

  • Low-Latency Streaming Processing

Large-Scale Data Analysis

Environmental Protection

Climate data is stored on OBS and periodically dumped into HDFS for batch analysis. 10 TB of climate data can be analyzed in 1 hour.

Advantages

Low Cost

OBS offers cost-effective storage.

Massive Data Analysis

TB/PB-level data is analyzed by Hive.

Visualized Data Import and Export Tool

Loader exports data to DWS for business intelligence (BI) analysis.

Large-Scale Data Storage

Internet of Vehicles (IoV)

An automobile company stores data on HBase, which supports PB-level storage and CDR queries in milliseconds.

Advantages

Real Time

Kafka accesses massive amounts of vehicle messages in real time.

Massive Data Storage

HBase stores massive volumes of data and supports data queries in milliseconds.

Distributed Data Query

Spark analyzes and queries massive volumes of data.

Low-Latency Streaming Processing

Internet of Elevators & Escalators (IoEE)

Data of smart elevators and escalators is imported to MRS streaming clusters in real time for real-time alarming.

Advantages

Real-Time Data Ingestion

Flume implements real-time data ingestion and provides various data collection and storage access methods.

Data Source Access

Kafka accesses data of tens of thousands of elevators and escalators in real time.

New Features

Functions

  • On Demand

    On-demand cluster creation and pay-per-use operations

  • Enterprise-Level Big Data Edition

    Secure, reliable, efficient, and with high availability (HA)

  • Compatibility

    Compatible with open source ecosystems, achieving seamless application migration

On Demand

  • Diversified node and disk specifications

  • Various big data software and versions

  • Temporary clusters, automatically deleted after job execution

  • On-demand cluster scale

  • On-demand cluster capacity expansion

Enterprise-Level Big Data Edition

  • HA deployment on all management nodes

  • Multi-level tenant management

  • Service health and performance management

  • Kerberos security authentication and RBAC

  • Encryption of file systems and data tables

  • High-performance local disks

Compatibility

  • Seamlessly interconnected with OBS

  • Various open source computing frameworks, such as, MapReduce, Spark/SparkSQL, Hive, and Storm

  • CarbonData, a high-performance file storage format

  • Spark SQL, compatible with the Hive SQL syntax

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