Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Microsoft Azure
Yes
Amazon Web Services (AWS)
No
Azure Linux
Yes
Azure Marketplace
Yes
Azure SQL Managed Instance
Yes
Google Cloud Platform
No
Hadoop
No
IBM Netezza Performance Server
No
SAP Store
Yes
Snowflake
No
Integrations
Microsoft Azure
Yes
Amazon Web Services (AWS)
Yes
Azure Linux
No
Azure Marketplace
No
Azure SQL Managed Instance
No
Google Cloud Platform
Yes
Hadoop
Yes
IBM Netezza Performance Server
Yes
SAP Store
No
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
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
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No