Amazon RDS for Aurora vs Rackspace Cloud Database

Overview

Rackspace Cloud Database

Stacks4

Followers6

Votes0

Amazon Aurora

Stacks807

Followers745

Votes55

Amazon RDS for Aurora vs Rackspace Cloud Database: What are the differences?

Developers describe Amazon RDS for Aurora as "MySQL and PostgreSQL compatible relational database with several times better performance". Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability. On the other hand, Rackspace Cloud Database is detailed as "Get a performance-optimized database for your application in minutes". It gives you simple, on-demand provisioning and open APIs—so you can deploy MySQL, Percona Server, or MariaDB with minimal effort. It is available in all of our global data centers, and it's backed by MySQL experts who tackle the management challenge for you.

Amazon RDS for Aurora and Rackspace Cloud Database belong to "SQL Database as a Service" category of the tech stack.

Some of the features offered by Amazon RDS for Aurora are:

High Throughput with Low Jitter
Push-button Compute Scaling
Storage Auto-scaling

On the other hand, Rackspace Cloud Database provides the following key features:

24x7x365 monitoring
Spend less time managing infrastructure
Performance Optimized

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Rackspace Cloud Database	Amazon Aurora
It gives you simple, on-demand provisioning and open APIs—so you can deploy MySQL, Percona Server, or MariaDB with minimal effort. It is available in all of our global data centers, and it's backed by MySQL experts who tackle the management challenge for you.	Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
24x7x365 monitoring ; Spend less time managing infrastructure ; Performance Optimized; Easily provision, scale and access your databases using control panel; Deploy in minutes and free yourself from time-consuming and costly management tasks	High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
Stacks 4	Stacks 807
Followers 6	Followers 745
Votes 0	Votes 55
Pros & Cons
No community feedback yet	Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema
Integrations
MySQL MariaDB Percona Server for MySQL	PostgreSQL MySQL

What are some alternatives to Rackspace Cloud Database, Amazon Aurora?

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

Azure Database for MySQL

Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.