AWS RDS is not a choice its a necessary!
There were plenty of custom web application running on our customer environment in local DB setup. It required lot of admin efforts and it …
Overview
What is Amazon RDS?
Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
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Pricing
Amazon RDS for PostgreSQL
$0.24 ($0.48)
Cloud
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MariaDB
$0.25 ($0.50)
Cloud
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MySQL
$0.29 ($0.58)
Cloud
per hour, R5 Large (R5 Extra Large)
Entry-level set up fee?
- Setup fee optionalOptional
For the latest information on pricing, visithttps://aws.amazon.com/rds/pricing/?trk…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is Amazon RDS?
Amazon Relational Database Service (RDS) allows users to set up, operate, and scale a database in the cloud. The vendor states it provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, setup, patching, and backups. This frees users to focus on applications so they can give them the fast performance, high availability, security, and compatibility they need.
Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database, and SQL Server.
Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database, and SQL Server.
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Amazon RDS Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | NAMER, APAC, LATAM, EMEA |
| Supported Languages | English, French, Korean, Chinese, Japanese |
Frequently Asked Questions
Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
Reviewers rate Support Rating highest, with a score of 9.6.
The most common users of Amazon RDS are from Mid-sized Companies (51-1,000 employees).
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(281)Attribute Ratings
Reviews
(1-2 of 2)Companies can't remove reviews or game the system. Here's why
Our company needed a reliable and fast solution for storing our customer data and Amazon Relational Database Service was a good choice because of all the set of features it offers. On top of the relational storage, our company could comply with market standards by easily having replication, backup, patching and user management easily implemented natively in the solution. What is also great about Amazon Relational Database Service is that you can manage everything using terraform, making it easy to reproduce the configurations in multiple environments.
- Relational data storage
- Backups
- Availability
- Schema management
- Monitoring
- DBM
- Backups
- Availability
- Vertical Scaling
- Enabled generation of business reports
- Enabled storing user data in a reliable way
- Complied with our governance framework
Amazon Relational Database Service solves part of our architecture problem - more inclined towards on-line transactions and simple user data storage - whereas MongoDB is good for storing structured complex data. For most of the requirements we use Amazon Relational Database Service for, it is because it is simpler and more straightforward to use, reducing the time for the development team to learn, and it also gives a slow latency and good performance.
April 04, 2023
Best in class service
We have a Kubernetes cluster and we use RDS to provide a relational database to each application deployed on the cluster. We take advantage of the multi-zone potential that RDS offers and the possibility of autoscale that RDS offers us.
- Availability
- Point in time restore
- Scalability
- Point in time needs a lot of time
- A way to restore from pointing in time backup selected database instead of full machine
- Reliability
- Multi-zone horizontal and vertical scalability
- Simple to use and configure
- Give us a way to manage multiple DB instance with a little effort.
- Costs are extremely low compared to having to manage cluster databases internally.
- Offers high-level performance
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