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What is Huawei Cloud Data Migration?

Support is provided for data migration from nearly 20 different source types, encompassing both cloud and on-premises setups. An advanced distributed computing framework ensures that data is transferred efficiently while optimizing writing for specific data sources. Thanks to a user-friendly wizard-based development interface, users can set up migration tasks without complex programming skills, enabling quick task creation. You only pay for what you use, eliminating the need to invest in specialized hardware or software resources. Moreover, cloud services for big data can act as either a substitute or backup for traditional on-premises systems, making it easier to migrate large volumes of data. Its compatibility with various data formats, including relational databases, NoSQL, and big data files, enhances its versatility. Additionally, the intuitive task management feature improves user experience right from the start. Data transfer is seamless across services on HUAWEI CLOUD, enhancing data mobility and accessibility across different platforms. This all-encompassing solution equips organizations with the tools to manage their data migration processes efficiently and effectively, ultimately streamlining operations and reducing downtime. Furthermore, the flexibility of this service allows businesses to adapt to changing data needs quickly.

What is ArcServe Live Migration?

Effortlessly migrate your data, applications, and workloads to the cloud without experiencing any downtime by leveraging Arcserve Live Migration, a solution meticulously designed to facilitate a seamless cloud transition. This innovative tool enables the smooth relocation of your essential assets to your chosen cloud environment while ensuring that your business operations continue without interruption. By streamlining the orchestration of the cutover, it minimizes the intricacies involved in the migration process. You can manage the entire migration process from a centralized console, simplifying oversight of the various tasks. Arcserve Live Migration's adaptable architecture supports a wide array of data and workloads, whether they are meant for cloud storage, on-premises solutions, or remote sites like edge environments, and it is compatible with diverse systems, including virtual, cloud, and physical infrastructures. Moreover, it automatically synchronizes files, databases, and applications across Windows and Linux systems, guaranteeing that a secondary physical or virtual environment stays aligned, regardless of whether it is on-site, off-site, or cloud-hosted. This combination of efficiency, flexibility, and user-friendly management makes Arcserve Live Migration an essential asset for organizations aiming to update their infrastructure while preserving operational consistency. In today’s fast-paced digital landscape, having such a reliable migration solution can significantly enhance your business’s agility and resilience.

Media

Media

Integrations Supported

Huawei Cloud

Integrations Supported

Amazon EC2
Datto RMM
Datto Workplace
HPE Consumption Analytics
Microsoft Azure
Microsoft Exchange
Microsoft Hyper-V
Microsoft IIS
Oracle Database
Quantum VS-NVR Series
SQL Server
VMware vSphere
XenServer

API Availability

API Availability

Has API

Pricing Information

$0.56 per hour

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Android
Windows
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Huawei Cloud

Date Founded

1987

Company Location

China

Company Website

www.huaweicloud.com/intl/en-us/product/cdm.html

Company Facts

Organization Name

ArcServe

Date Founded

1983

Company Website

www.arcserve.com/data-protection-solutions/arcserve-live-migration/

Categories and Features

Cloud Migration

Not specified

Data Migration

Not specified

Categories and Features

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