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What is Google Cloud Migrate for Compute Engine?

Cloud migration involves a multitude of questions and challenges. Google Cloud's Migrate for Compute Engine effectively addresses these issues. Whether you plan to move a single application from on-premises servers or thousands of robust applications from multiple data centers, Migrate for Compute Engine equips IT teams of all sizes with the capability to transition their workloads to Google Cloud effortlessly. Its user-friendly “as a service” interface within the Cloud Console, coupled with flexible migration options, makes the entire process easier, allowing users to significantly diminish the time and resources typically required for migrations. Gone are the days of complex setups, convoluted configurations, and the hassle of client-side migration tools. By selecting the right migration strategy, your team can concentrate on what truly matters: the effective relocation of workloads to the cloud. In conclusion, this tool not only simplifies the migration journey but also boosts productivity and efficiency for IT professionals, paving the way for a smoother transition to cloud services.

What is Datametica?

At Datametica, our cutting-edge solutions play a pivotal role in minimizing risks and lowering costs, time, frustration, and anxiety associated with migrating data warehouses to the cloud. We streamline the transition of your existing data warehouse, data lake, ETL, and enterprise business intelligence systems to your chosen cloud platform through our suite of automated products. Our methodology encompasses the development of a robust migration strategy that incorporates workload discovery, assessment, planning, and cloud optimization. Utilizing our Eagle tool, we deliver valuable insights from the initial discovery and assessment stages of your current data warehouse to the creation of a customized migration strategy, which outlines the data to be transferred, the ideal sequence for migration, and projected timelines and costs. This detailed analysis of workloads and meticulous planning not only mitigates migration risks but also ensures that business operations experience no disruptions during the process. Moreover, our dedication to facilitating a smooth migration empowers organizations to adopt cloud technologies with both confidence and clarity, ultimately positioning them for future growth and innovation. By prioritizing a tailored approach, we ensure that each client's unique needs are met throughout the entire migration journey.

Media

Media

Integrations Supported

Google Cloud Platform
Activeeon ProActive
Amazon Web Services (AWS)
Google Compute Engine
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

Integrations Supported

Google Cloud Platform
Activeeon ProActive
Amazon Web Services (AWS)
Google Compute Engine
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/migrate/compute-engine

Company Facts

Organization Name

Datametica

Date Founded

2013

Company Location

India

Company Website

www.datametica.com

Categories and 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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