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Description

Amazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security.

Description

Voldemort does not function as a relational database, as it does not aim to fulfill arbitrary relations while adhering to ACID properties. It also does not operate as an object database that seeks to seamlessly map object reference structures. Additionally, it does not introduce a novel abstraction like document orientation. Essentially, it serves as a large, distributed, durable, and fault-tolerant hash table. For applications leveraging an Object-Relational (O/R) mapper such as ActiveRecord or Hibernate, this can lead to improved horizontal scalability and significantly enhanced availability, albeit with a considerable trade-off in convenience. In the context of extensive applications facing the demands of internet-level scalability, a system is often comprised of multiple functionally divided services or APIs, which may handle storage across various data centers with their own horizontally partitioned storage systems. In these scenarios, the possibility of performing arbitrary joins within the database becomes impractical, as not all data can be accessed within a single database instance, making data management even more complex. Consequently, developers must adapt their strategies to navigate these limitations effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AI Query Yes 
AWS Secrets Manager Yes 
Amazon Macie Yes 
Amazon Q Yes 
Amazon Transcribe Yes 
B2Sell Yes 
DBmarlin Yes 
DashboardFox Yes 
JMP Statistical Software Yes 
Mode Yes 
MySQL Yes 
N2WS Backup & Recovery Yes 
NXT1 LaunchIT Yes 
Opal Security Yes 
PostgreSQL Data Access Components Yes 
Secuvy AI Yes 
TiDB Cloud Yes 
Veeam Backup for AWS Yes 
datapine Yes 
ketteQ Yes 

Integrations

AI Query No 
AWS Secrets Manager No 
Amazon Macie No 
Amazon Q No 
Amazon Transcribe No 
B2Sell No 
DBmarlin No 
DashboardFox No 
JMP Statistical Software No 
Mode No 
MySQL No 
N2WS Backup & Recovery No 
NXT1 LaunchIT No 
Opal Security No 
PostgreSQL Data Access Components No 
Secuvy AI No 
TiDB Cloud No 
Veeam Backup for AWS No 
datapine No 
ketteQ No 

Pricing Details

$0.02
Free Trial Yes 
Free Version No 

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 No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/rds/aurora/

Vendor Details

Company Name

Voldemort

Website

www.project-voldemort.com/voldemort/

Product Features

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication Yes 
Data Search Yes 
Data Security Yes 
Database Conversion Yes 
Mobile Access Yes 
Monitoring Yes 
NOSQL No 
Performance Analysis Yes 
Queries Yes 
Relational Interface Yes 
Virtualization Yes 

RDBMS

Backup Yes 
Data Migration Yes 
Monitoring Yes 
Performance Analysis Yes 
Queries Yes 
Storage Optimization Yes 

Relational Database

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

Product Features

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

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