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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 Amazon Aurora?

Amazon Aurora is a cloud-native relational database designed to work seamlessly with both MySQL and PostgreSQL, offering the high performance and reliability typically associated with traditional enterprise databases while also providing the cost-effectiveness and simplicity of open-source solutions. Its performance is notably superior, achieving speeds up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Moreover, it combines the security, availability, and reliability expected from commercial databases, all at a remarkably lower price point—specifically, only one-tenth of the cost. Managed entirely by the Amazon Relational Database Service (RDS), Aurora streamlines operations by automating critical tasks such as hardware provisioning, database configuration, patch management, and backup processes. This database features a fault-tolerant storage architecture that can automatically scale to support database instances as large as 64TB. Additionally, Amazon Aurora enhances performance and availability through capabilities like up to 15 low-latency read replicas, point-in-time recovery, continuous backups to Amazon S3, and data replication across three separate Availability Zones, all of which improve data resilience and accessibility. These comprehensive features not only make Amazon Aurora an attractive option for businesses aiming to harness the cloud for their database requirements but also ensure they can do so while enjoying exceptional performance and security measures. Ultimately, adopting Amazon Aurora can lead to reduced operational overhead and greater focus on innovation.

Media

Media

Integrations Supported

Integrations Supported

Adverity
Alteryx
Amazon Redshift
Bold BI
Commvault HyperScale X
Delphix
Fullcast
JuxtAPPose
Minitab Statistical Software
MySQL
Nextacular
OpenText Documentum
RazorSQL
Salesforce Data 360
Satori
Secuvy AI
Stackreaction
Untitled
Veeam Backup for AWS
Windward Hub

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.02
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

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/rds/aurora/

Categories and Features

Data Replication

Not specified

Key-Value Databases

Not specified

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
Performance Analysis
Queries
Relational Interface
Virtualization

Distributed Databases

Not specified

OLAP Databases

Not specified

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

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