#1 most frequent
United States of America
56.1%3,389 installations of 6,041
What is Amazon Aurora?
Amazon Aurora is a global-scale relational database service built for the cloud with full MySQL and PostgreSQL compatibility.
Categories & Use Cases
Media
Screenshot of A look inside the RDS console.
Top Performing Features
Database scalability
Ease of scaling compute or memory resources and storage up or down
Category average: 9
Automated backups
Automated backup enabling point-in-time data recovery
Category average: 8.2
Automatic host deployment
Compute instance replacement in the event of hardware failure
Category average: 7.3
Areas for Improvement
Database security provisions
Provision for database encryption, network isolation, and identity access management
Category average: 8.8
Monitoring and metrics
Built-in monitoring of multiple operational metrics
Category average: 6.7
Automatic software patching
Patches applied to database automatically
Category average: 8.6
Who Buys & Uses Amazon Aurora
#2 most frequent
United Kingdom of Great Britain and Northern Ireland
5.8%352 installations of 6,041
#3 most frequent
India
5.4%327 installations of 6,041
Amaon Aurora
Use Cases and Deployment Scope
test
Pros
- test
Cons
- test
Return on Investment
- test
Usability
Other Software Used
MySQL
A powerful RDBMS
Use Cases and Deployment Scope
A perfect and powerful database management system, I received this application from one of my colleagues, after changing from many DBs like one them is MongoDB.
It has a powerful life of taking a huge amounts of data, as for long I have been working with data, I wanted a powerful and well working database system for working efficiently and effectively with my data works, well this application has a cool and powerful chain system for making relationships with various data. I loved it.
It has a powerful life of taking a huge amounts of data, as for long I have been working with data, I wanted a powerful and well working database system for working efficiently and effectively with my data works, well this application has a cool and powerful chain system for making relationships with various data. I loved it.
Pros
- Powerful data handling
- Migration facility
- Cost effective application
Cons
- GUI
- Interaction
Return on Investment
- Positive: Cost effectiveness
- Positive: large data storage
- Positive: High security features
- Negative: Lacking interactiveness
- Negative: Lags when high input is placed.
Alternatives Considered
MongoDB and RavenDB
Other Software Used
RavenDB, MongoDB
Amazon Aurora - what an excellent solution for Database problems
Use Cases and Deployment Scope
As any company that have to use a database to store information not only for the business data but also for different applications, we decided to use Aurora MySQL to ease the administration and be safe that AWS will handle all patching, updates, backups and maintenance of the database.
Pros
- No need to provision storage nor IOPS for the disks
- Automatics continuos backups with the possibility to point-in-time restore in new database or backtrack to a point in time in the same database
- Increase availability by using Read Replicas and also distributing read capacity using them for queries
Cons
- If using Aurora Serverles v2 one thing missing is the possibility to reduce it to 0 ACU
Return on Investment
- We have had zero issues on our site related to database availability since using Aurora
- The avilability of our site has been 100% during the last year
- No more database administration hassell
Other Software Used
Amazon Elastic File System (EFS), Amazon EC2 Auto Scaling, Amazon Elastic Compute Cloud (EC2)
Unveiling Amazon Aurora: Empowering High-Performance Data Management in the Cloud
Use Cases and Deployment Scope
We use Aurora MySQL for the database of Magento 2. This handles the load very fine and is has 100% uptime with low resilience and no packet loss. Moreover we use Aurora for scalability from the Read replicas used for read transactions and scaling the database. The restore in time feature also allows us if we need to restore the database for specific time of the day.
Pros
- 100% Uptime with no packet losses
- Scalability with read replicas
- fully managed database
- Restore Point in Time
- Handel more load than mysql
- Parallel Queries supported
Cons
- Improve Response time
- Add write replica for scaling
- database caching
Return on Investment
- positive - very fast website thus increasing google ranks
- positive - efficient database
- negetive - high cost
Alternatives Considered
Azure SQL Database and Google Cloud SQL
Other Software Used
Azure SQL Database, Google Cloud SQL, Oracle Cloud Infrastructure
Resource Manager/Recruiter
Use Cases and Deployment Scope
Our day to day work requires the handling of sensitive information day in and day out. That being said - Security and backups are absolutely crucial to the company's ability to successfully and ethically work. Amazon Aurora provides these services on the front and back end simultaniously while we focus on our objectives.
Pros
- Provides continuous backups while other applications are running without causing any interruption in production.
- Provides built-in security features i.e. encryption at rest and in-transit, making sure that our data is secure both during storage and transmission.
- Allows us to easily monitor the database's performance metrics and analyze them to optimize query performance and identify any potential issues.
Cons
- Improve the ability to handle time zone conversions and daylight saving time.
- Geospatial data is becoming increasingly important in various applications, and Aurora currently lacks built-in support for geospatial data types and functions.
- I think allowing and enchancing schema changes would improve the overall database management experience.
Return on Investment
- It has improved application responsiveness, reduced query execution times, and increased customer satisfaction. Faster response times have resulted in higher user engagement and potentially lead to increased revenue.
- If an organization operates in a hybrid or multi-cloud environment (like us), data transfer costs between AWS services and other cloud providers could impact the overall ROI.
- While Amazon Aurora can provide cost savings over time, the pricing structure should be evaluated against specific workload requirements. Though I don't believe we've entirely recieved our ROI quite yet, we are on a fast track to surpass it drastically.
