Amazon Aurora

A MySQL and PostgreSQL-compatible relational database built for the cloud
TAGS
data
MySQL
PostgreSQL
auto-scaling
serverless
Description

A MySQL and PostgreSQL-compatible relational database built for the cloud

Main information

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Use cases
Description
Software as a Service (SaaS) Applications (AWS)
SaaS applications often use architectures that are multi-tenant, which requires a great deal of flexibility in instance and storage scaling along with high performance and reliability. Amazon Aurora provides all of these features in a managed database offering, helping SaaS companies focus on building high quality applications without worrying about the underlying database that powers the application
Enterprise Applications (AWS)
Compared to commercial databases, Amazon Aurora can help cut down your database costs by 90% or more while improving reliability and availability of the database. Amazon Aurora being a fully managed service helps you save time by automating time consuming tasks such as provisioning, patching, backup, recovery, failure detection, and repair.
Web and Mobile Gaming (AWS)
Web and mobile games that are built to operate at very large scale need a database with high throughput, massive storage scalability, and high availability. Amazon Aurora fulfills the needs of such highly demanding applications with enough room for future growth. Since Amazon Aurora does not have any licensing constraints, it perfectly fits the variable usage pattern of these applications.
Features
Description
Link to documentation
Read Replicas
Create database replicas to increase read throughput and support high-volume application requests
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Storage Auto-Scaling
Automatically grow the size of your database volume as your database storage needs grow
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Serverless Configuration
Automatically start-up, shut down, and scale up or down capacity based on your application's needs
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Parallel Query
Provides faster analytical queries over your current data
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Details
Vendor
AWS
Category
Databases & Storage
Sub-category
Relational Database
Launch date
7/1/2015
Update link
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Last release date
11/18/2021
Popularity (number Github repo)
Use cases
Software as a Service (SaaS) Applications (AWS)
Enterprise Applications (AWS)
Web and Mobile Gaming (AWS)
Languages supported
Commercial documentation link
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Technical documentation link
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Last product news
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Pricing information link
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Pricing description
Pay as you go with no upfront fees. Cost applies to database instances, storage, IOs, backup storage, backtracks, snapshot exports, and data transfers,
Free-tier offer
Featured clients
Arizona State University; CB Insights; Cognizant; Course Storm; NTT DOCOMO; Mitel; Pagely
Case study
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Other ressource
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