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Huawei Cloud MRS

MapReduce Service provides a fully managed big data platform based on open-source frameworks like Hadoop, Spark, HBase, and Kafka. Deploy clusters in minutes with predefined configurations optimized for different workloads. MRS handles capacity planning, node replacement, and software upgrades, allowing you to focus on data processing rather than infrastructure management.

Highlights:
Multiple big data frameworks
Elastic cluster scaling
Automated cluster management
Pre-configured templates
Integration with data storage services

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About this Item

Huawei Cloud MRS

What is Huawei Cloud MRS?

Huawei Cloud MRS (MapReduce Service) is a fully managed big data processing service that simplifies the operation of open-source tools such as Apache Hadoop, Apache Spark, HBase, Kafka, and more. It provides the infrastructure and services needed to process and analyze massive amounts of data.

Key Features

  • Support for multiple big data frameworks in a unified platform
  • Elastic cluster scaling based on workload demands
  • Automated cluster management and maintenance
  • Pre-configured cluster templates for different workloads
  • Seamless integration with data storage services

Use Cases

  • Large-scale data processing
  • Log analysis and event processing
  • ETL workflows for data warehouses
  • Machine learning data preparation

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App Type and Industry Use Cases

Take a look at the diverse range of application types and industries that can leverage this solution. Understanding these potential uses can help identify how this can integrate into different business models and digital solutions across various sectors.

Tech Stack Compatibility

We've outlined the compatible tech stacks for this solution, encompassing various development areas like frontend, backend, and database, alongside specific stack environments. This provides you with the crucial information needed for seamless integration into your preferred frameworks and programming environments.

Huawei Cloud MRS
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Pricing Tiers

Basic
Hadoop/Spark/Hive/ETL, managed, dev/test clusters, API, logs.
$0.10/hr per node
Hadoop/Spark
API
Dev/test
Logs
Autoscale
Enhanced
DataLake, hybrid, fairness scheduling, SLA, high avail, better performance.
$0.14/hr per node
DataLake
Fair scheduler
High avail
Hybrid
SLA
Enterprise
Dedicated support, compliance, custom config, extended logs, support SLA.
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Compliance
Custom config
Extended logs
SLA
Dedicated support

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