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Average Ratings 0 Ratings

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ease
features
design
support

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Description

The AWS Application Migration Service (MGN) is a sophisticated, automated lift-and-shift solution aimed at streamlining, expediting, and lowering the expenses associated with migrating applications from on-premises systems, private clouds, or other public cloud environments to AWS. This service operates by continuously replicating source servers at the block level within an AWS account, ensuring that the original setup of applications, operating systems, and data remains intact. Once organizations decide to proceed with the migration, MGN seamlessly transforms these replicated servers into native AWS resources like Amazon EC2 instances, allowing for a swift transition with minimal downtime and eliminating the need for application modifications. Designed to facilitate large-scale migrations, it boasts high compatibility, enabling businesses to transfer a multitude of physical, virtual, or cloud-based servers without causing performance issues or extending migration timeframes. Furthermore, MGN significantly decreases the amount of manual input required by automating crucial processes such as replication, conversion, and deployment, which helps in reducing the likelihood of errors during the migration process. By leveraging this service, companies can focus on their core operations rather than the complexities of migration logistics.

Description

At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Amazon EC2
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Microsoft Hyper-V
Oracle Cloud Infrastructure
SAP Cloud Platform
SQL Server
Snowflake
VMware vSphere
Windows Server

Integrations

Amazon Web Services (AWS)
Amazon EC2
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Microsoft Hyper-V
Oracle Cloud Infrastructure
SAP Cloud Platform
SQL Server
Snowflake
VMware vSphere
Windows Server

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/application-migration-service/

Vendor Details

Company Name

Datametica

Founded

2013

Country

India

Website

www.datametica.com

Product Features

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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