Product Advantages

  • 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.
    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.
  • 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.
    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.
    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.
  • 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.
    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

  • Cloud Migration

  • IoV

  • Finance & Insurance

  • Public Opinion Analysis

  • Smart Logistics

  • IoE

  • Smart Water Mgmt

  • Gaming

  • Energy

Cloud Migration

Migrating an On-premises Big Data Platform to the Cloud

On-premises Hadoop big data platforms (CDH/HDP/...) can be quickly migrated to the cloud, and customers' services and data can be migrated to MRS all at one time. An off-cloud system can be quickly built based on the cloud environment, making it possible to perform rapid service expansion in the future.


Advantages

No Service Interruption
Online migration of service data ensures no service interruption. More than 100 TB data can be migrated to the cloud within 7 days.


No Modification of Service Code
During offline system migration, service codes are not modified, allowing the service to be migrated quickly.


Massive Data Migration
PB-level data can be migrated to the cloud.


Professional Assurance Service
O&M services are provided by Huawei's professional technical team.


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IoV

Internet of Vehicles (IoV)

MRS leverages the open-source ecosystem to provide a fast and efficient data processing computing engine that helps automobile enterprises quickly migrate services to the cloud. It also flexibly builds an open, unified, and full-stack big data platform for data analysis.


Advantages

Unified, Full-Stack, Scalable Data Platform
MRS is an enterprise-level big data platform that isolates computing from storage, providing flexibility and convenience.


Multi-engine Processing for Hybrid Loads
MRS provides various open-source components that can be combined freely as needed, supporting real-time/offline complex service processing.


High Performance at a Low Cost
MRS Kafka and Storm can obtain real-time stream data to implement real-time computing and analysis with high throughput and low latency.


Compatible with Open-Source Standard APIs
MRS is based on open source. It is fully compatible with APIs of the Apache Hadoop ecosystem.


Finance & Insurance

Finance and Insurance

MRS leverages the advantages of the big data platform on DeC to meet the strict requirements of the insurance industry with regards to compliance, security, and reliability. It reconstructs the IT architecture of traditional insurance enterprises, and quickly builds and deploys insurance service systems. This helps insurance enterprises achieve fast digital transformation, easy service innovation, and agile service evolution.


Advantages

Robust Security
Meets industry regulatory requirements and protects customers' sensitive data.


Dedicated Resources
Provides dedicated MRS clusters and exclusive resources, and separates computing resources from storage resources.


Flexible Creation, Full-Stack, Easy O&M
Allows users to create a full-stack big data platform with just one click and provides an enterprise-class platform management interface, simplifying O&M.


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Public Opinion Analysis

Public Opinion Analysis

Centering on the MRS one-stop big data platform, components such as Kafka, Storm, and HBase are used to collect, analyze, and process massive amounts of data to provide governments and enterprises with services such as public opinion monitoring, analysis, and message push.


Advantages

Flexible and Cost-effective
MRS supports elastic expansion of compute nodes and scheduled auto-scaling, significantly reducing costs.


Real-time and Efficient
MRS Kafka and Storm provide high-performance streaming cluster capabilities to collect and analyze tens of thousands of public opinions per second in real time, keeping delay within milliseconds.


PB-level Storage
MRS HBase provides the distributed and scalable NoSQL data storage services, which are suitable for analyzing and querying massive amounts of structured and semi-structured data.


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Smart Logistics

Smart Logistics

MRS big data analysis platform is used to implement intelligent management of logistics activities, improving service operation efficiency and greatly reducing costs.


Advantages

High Throughput and Low Latency
Dedicated MRS Kafka clusters with high-throughput, high availability, and low latency capabilities facilitate real-time access of millions of messages.


Large-scale Data Analysis and Processing
MRS Spark supports large-scale data computing. MRS HBase can load and update logistics data in milliseconds, and query and analyze petabytes of time series data.


More Intelligence with AI

MRS uses AI for big data mining, and provides precise and intelligent prediction and analysis capabilities for logistics organizations, marketing, and operation management.


IoE

Internet of Elevators (IoE)

To adapt to the rapid business innovation and flexible service modes involved in IoE, MRS functions as an open one-stop big data processing platform to implement intelligent elevator management.


Advantages

Open and Flexible
MRS provides a wide variety of computing products and storage hardware for your choices to meet scenario-specific needs and build a unified and open big data platform. In addition, it offers powerful computing engines and a massive amount of storage, and enables flexible integration of service components.


High Performance and Large Capacity
MRS Kafka works with high-performance general network enhancement (C3ne) ECSs to implement real-time data access for millions of elevators.


AI Supported
MRS supports GPUs that provide real-time high-speed parallel computing and floating-point computing capabilities. These are applicable to video encoding and decoding, deep learning, and scientific computing.


Smart Water Mgmt

Smart Water Management

MRS Hadoop provides high-performance, reliable, unified big data storage and analysis functions for water management scenarios.


Advantages

Unified and Scalable Data Platform
MRS builds an enterprise-level big data platform and provides various open-source components that can be flexibly combined, supporting real-time/offline complex service processing.


High Throughput and Low Latency
Storm can obtain real-time stream data from Kafka to implement real-time computing and analysis with high throughput and low latency.


Integration of Various Types of Data
Various structured, semi-structured, and unstructured data can be computed and processed, and traditional data warehouse data can be easily migrated, facilitating cross-source data exploration and analysis.


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Gaming

Gaming

Game log data is accessed through Kafka and Flume in real time. Spark Streaming processes and analyzes the data in real time and stores the analysis results to HBase or Hive for quick game advertisement analysis, data query and analysis, and revenue analysis.


Advantages

Unified and Scalable Data Platform
MRS functions as an enterprise-level big data platform and provides various open-source components that can be combined flexibly to meet even highly complex service processing needs.


Real Time and High Throughput
MRS Kafka and Flume collect real-time data and integrate with high-performance general network enhancement (C3ne) ECSs to implement real-time access of massive amounts of data.


Energy

Energy

MRS provides enterprise-level big data cloud services that enable PV plant operators to easily run Hadoop, Spark, HBase, Storm, and other big data components for the purpose of predictive device maintenance.


Advantages

Unified Big Data platform
MRS functions as an enterprise-level big data platform and provides various big data components that support flexible use in different combinations, meeting customers' requirements for complex service processing.


Mass Data Collection
MRS Kafka and Sqoop support multiple data collection methods, facilitating real-time access of millions of messages.


Easy of Use
SQL APIs can be used to support querying multi-dimensional data for easy data exploration and analysis.


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New Features

Success Stories

Scenario-Specific Clusters

Hadoop Analysis Cluster

Massive data storage

Uses Spark to analyze and query vast amounts of data and uses Hive to analyze TB/PB-level data.

HBase Cluster

Analysis of vast amounts of data

Uses HBase to store massive amounts of data and query data in milliseconds.

Kafka Cluster

Low-latency streaming processing

Uses Flume to perform real-time data ingestion, Kafka to implement real-time access of tens of thousands of data records, and Storm to achieve reliable, fault-tolerant, and low-latency online service data processing.

Compatible with x86, ARM, and Open Source Big Data Ecosystem

Huawei-developed ARM servers are integrated with Huawei-developed OSs and databases, achieving integration of software and hardware.Various open source computing frameworks, for example, MapReduce, Spark/Spark SQL, Hive, and Storm are supported.

CarbonData, a high-performance file storage format, is supported.

Spark SQL is compatible with Hive SQL.

Provides Scalable, On-demand Computing Resources

Learn More