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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Access a complete set of Azure migration tools and guidance to effectively plan and execute your transition to the cloud, while monitoring your progress through a centralized dashboard that offers smart insights. The platform supports critical migration scenarios, encompassing servers, data, databases, web applications, and virtual desktops. It features extensive discovery, assessment, and migration capabilities powered by both Azure and its partner tools. You can rely on a centralized migration repository that allows for comprehensive tracking and insights throughout the process. Additionally, Azure includes cost optimization features and tools to ensure a budget-friendly migration experience. The guided process, coupled with a progress dashboard, seamlessly leads you through the discovery, assessment, and migration stages across various business sectors within a single data repository. Leverage built-in insights and recommendations to make informed migration choices. Furthermore, take advantage of rapid lift-and-shift migration tools available within your Azure subscription at no extra cost, ensuring a streamlined and efficient migration journey. This holistic approach not only enhances the migration experience but also empowers organizations to achieve their cloud objectives with confidence.

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

Microsoft Azure
Amazon Web Services (AWS)
Azure Marketplace
Azure SQL Managed Instance
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
SAP Store
Snowflake

Integrations

Microsoft Azure
Amazon Web Services (AWS)
Azure Marketplace
Azure SQL Managed Instance
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
SAP Store
Snowflake

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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/azure-migrate/

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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