Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
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PostgreSQL
Score 8.5 out of 10
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PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.
The only direct comparison that I have professionally would be from a past life where we ran Microsoft SQL Server on Microsoft Servers, and while I served as a technical liaison between a vendor and my customers, there were constant issues within my customers' technical teams …
We needed to use PostgreSQL due to it being the database engine that our application vendor uses. Once we were constrained on the database engine choice then Microsoft products (eg. SQL Server), whether on premise or in the cloud, were not appropriate. Therefore the only …
Deploying PostgreSQL by yourself may appear easy at first but running a production PostgreSQL cluster with millions of records is a hard task, especially for compliance, scalability, and security. RDS automates all complex tasks so you can focus on building your database schema …
With the latest serverless technology Amazon Relational Database Service (RDS) has an edge over all its competitors, it works really fast with high log retention.
There are a lot of factor we took into consideration the most important ones are: Ease of use and setup - Compared to other similar options Amazon RDS is very easy to setup just clicking few options and its ready for POC and for production very easy and flexible Terraform …
Even though Amazon Relational Database Service (RDS) is costlier than postgre SQL, We prefer Amazon Relational Database Service (RDS) just because of high performance and security features
It is more suitable for our data structure and also has a lower management and implementation cost since we don`t have to do everything from scratch. It also offers great integration with other AWS services which makes it really good to work with.
We used to have On-Premises servers with Microsoft SQL Server and MySQL databases. We used that for years, and we had a hard time and a lot of work involved in securing and updating the server. And not no mention that growth involves a lot of calculations and extra costs. …
I selected AWS RDS over Azure because of the [number] of products AWS has that work together. The cost for RDS was cheaper than Azure's SQL also. I use Azure for MSSQL workloads and AWS for MySQL workloads. Probably the main reason was we wanted to use S3 and Azure doesn't have …
Actually you can have most of these tools through AWS Relational Database Service as they are basically those technologies provided as a service. It is way better to have those products provided as a service through a huge and reliable infrastructure like AWS.
It's hard to identify how Amazon RDS stacks up against the databases they support, because to install and use a relational database in a production environment you need a Database Administrator to help install, configure and manage. Amazon RDS keeps the details simple enough …
RDS implements the databases we were interested in and allows us to focus on the application and not the management. AWS handles setting up the server and the database as well as upgrading the software when necessary. Security is simple, using security groups to allow or deny …
Amazon Relational Database Service will probably give you everything you need from a traditional manual DB setup, except everything is managed for you. The only downside is having to pay the premium for the service; however, the trade-off of not having to deal with the …
Automated snap-shotting every 24 hours is, again something that I could just set up in minutes with a few clicks, though we also backup on cron jobs to elsewhere, and, because of our industry we have a HUGE "forensic logs" that initially live in the database but get archived …
Redshift is massively scalable but has some limitations that we weren't willing to accept (no JSONB). It also has its own distinct flavor of SQL, and there isn't as much content online about Redshift's flavor of SQL versus postgres'. In the end, we just didn't need to kind of …