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Description
AWS Database Migration Service enables swift and secure database migrations to the AWS platform. During this process, the source database continues its operations, which effectively reduces downtime for applications that depend on it. This service is capable of transferring data to and from many of the most popular commercial and open-source databases available today. It facilitates both homogeneous migrations, like Oracle to Oracle, and heterogeneous migrations, such as transitioning from Oracle to Amazon Aurora. The service supports migrations from on-premises databases to Amazon Relational Database Service (Amazon RDS) or Amazon Elastic Compute Cloud (Amazon EC2), as well as transfers between EC2 and RDS, or even from one RDS instance to another. Additionally, it can handle data movement across various types of databases, including SQL, NoSQL, and text-based systems, ensuring versatility in data management. Furthermore, this capability allows businesses to optimize their database strategies while maintaining operational continuity.
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
Integrations
AWS App Mesh
AWS Marketplace
Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake
Integrations
AWS App Mesh
AWS Marketplace
Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/dms/
Vendor Details
Company Name
Datametica
Founded
2013
Country
India
Website
www.datametica.com
Product Features
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
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