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What is Voldemort?

Voldemort is not designed to operate as a relational database; it does not seek to maintain arbitrary relationships or comply with ACID principles. It also lacks the functionality of an object database that aims for a seamless mapping of object referencing. Moreover, it does not provide a new layer of abstraction like document orientation. Instead, it functions as a large, distributed, durable, and fault-tolerant hash table. For those employing an Object-Relational (O/R) mapper such as ActiveRecord or Hibernate, this setup can enhance horizontal scalability and availability significantly, though it comes with a notable loss of convenience. When dealing with large-scale applications that require internet-level scalability, systems often consist of multiple services or APIs that are functionally segmented, managing storage across diverse data centers, each with its own horizontally partitioned storage solutions. In such environments, executing arbitrary joins within the database can become unfeasible since not all data resides in a single database instance, which complicates data management further. Consequently, developers must shift their approaches to effectively cope with these limitations, necessitating a careful reevaluation of their data handling practices. This adjustment is crucial to ensure that the system remains efficient and responsive to the diverse needs of the applications it supports.

What is AWS Database Migration Service?

The AWS Database Migration Service allows for rapid and secure transitions of databases into the AWS cloud ecosystem. During the migration, the original database continues to function normally, which greatly minimizes downtime for applications that rely on it. This service is adaptable, supporting data transfers between various well-known commercial and open-source databases. It effectively manages both homogeneous migrations, like transferring data from one Oracle database to another, and heterogeneous migrations that involve different database systems, such as moving data from Oracle to Amazon Aurora. Users can migrate data from local databases to Amazon Relational Database Service (Amazon RDS) or Amazon Elastic Compute Cloud (Amazon EC2), shift between databases hosted on EC2 and RDS, or even move data from one RDS instance to another seamlessly. Moreover, it supports data migration across SQL, NoSQL, and text-based storage solutions, ensuring extensive compatibility with different database setups. This adaptability positions it as an outstanding option for organizations aiming to enhance their database infrastructure. Overall, the service streamlines the migration experience, allowing businesses to focus more on their core operations while ensuring data integrity.

Media

Media

Integrations Supported

AWS App Mesh
AWS Marketplace

Integrations Supported

AWS App Mesh
AWS Marketplace

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

Voldemort

Company Website

www.project-voldemort.com/voldemort/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/dms/

Categories and 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

Categories and 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

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