Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
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Amazon S3
Score 8.7 out of 10
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Amazon S3 is a cloud-based object storage service from Amazon Web Services. It's key features are storage management and monitoring, access management and security, data querying, and data transfer.
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Pricing
Amazon Relational Database Service (RDS)
Amazon S3 (Simple Storage Service)
Editions & Modules
Amazon RDS for PostgreSQL
$0.24 ($0.48)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MariaDB
$0.25 ($0.50)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MySQL
$0.29 ($0.58)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for Oracle
$0.482 ($0.964)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for SQL Server
$1.02 ($1.52)
per hour, R5 Large (R5 Extra Large)
No answers on this topic
Offerings
Pricing Offerings
Amazon RDS
Amazon S3
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Relational Database Service (RDS)
Amazon S3 (Simple Storage Service)
Considered Both Products
Amazon RDS
Verified User
Anonymous
Chose Amazon RDS
AWS RDS supports many engines and is more efficient than just MySQL.
It was based on previous experience and a few things that are good about AWS, like S3 and Lambda, the ease of integrating AWS's in-house services, and, of course, support. So, our organization has decided to use AWS.
The AWS relational database service was selected because at the early stages of the implementation of the company product the team didn't have a lot of experience in creating and configuring database inside the company cluster, but there was a need to have a relation database, …
Amazon Relational Database Service (RDS) stands out among similar products due to its seamless integration with other AWS services, automated backups, and multi-AZ deployments for high availability. Its support for various database engines, such as MySQL, PostgreSQL, and …
In a few words, we are just to confortable working with oracle and sql server. Using RDS add another layer of distributed database in order to backup everything we have in case of a disaster and also complies with authorities locally and internacionally. All database we use, …
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 products like Google Cloud SQL, Azure SQL Database, AWS RDS stacks up quite well in all features. Features like licensing, performance, security comes to my mind the most. Another aspect is AWS's global reach.
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 …
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.
Amazon RDS supports a wider range of database engines, including MySQL,
PostgreSQL, Oracle, Microsoft SQL Server, and Amazon Aurora (MySQL and
PostgreSQL-compatible) than Google Cloud SQL. When compared to Google Cloud SQL, AWS provides a larger global footprint with …
Mongodb is nosql database and some clients prefer it. In our presentation we try to persuade them to use RDS with its pros and cons. The type of selection depends upon the actual need.
Although the Rackspace service is not comparable, even though it is very good, it requires a lot of administration on my part. Regarding Atlas, although it is not the same as RDS in terms of provisioning and administration panel, I mention it because I found it simpler and more …
Previously used Media Temple database hosting (now GoDaddy). While that endeavor was also successful, the AWS RDS is more secure, with higher availability and better documentation.
We have a strong preference for AWS managed services, and we find that RDS offers excellent integration with various AWS services, making it a seamless choice for our infrastructure. Furthermore, RDS supports integration with automation tools such as Terraform, enhancing our …
The main area that stuck out to me in looking at AWS RDS compared to Azure Data Lake Storage was still that RDS is simple to get up and running with over its competitors. The only negative and it holds true for both solutions is that can both be hard to estimate cost control …
During the migration from MySQL installed on Linux to AWS RDS, we were almost surprised as it was done by few clicks rather than too much configurations ans steps in case of traditional DB migrations. In no time our platform was up and running.
Installing, configuring, and managing Oracle Database can be challenging, especially for people who are new to Oracle products. Longer learning curves and higher operational overhead can be caused by this complexity. Amazon Relational Database Service is easy to understand and …
We consider initially only to have the back up product. After analysing different products, we realize that we needed a more complete and robust product such as Amazon Relational Database Service (RDS). Then, the option to hire Amazon Relational Database Service (RDS) was …
1: If your company is already deeply involved in the AWS ecosystem, such as AWS Lambda, Amazon S3, or Amazon Redshift, leveraging Amazon RDS might result in a more seamless integration of services. AWS offers a broad set of cloud services, which makes it easier to design and …
Amazon RDS excels with its widely adopted and mature ecosystem, supporting various database engines. While Azure SQL Database offers a tiered pricing structure and automatic patching, and Cloud SQL provides straightforward pricing and easy scaling, Amazon RDS's extensive …
We opted for Amazon S3 (Simple Storage Service) solution as most of our workloads run on AWS and this saves as bandwidth costs. Otherwise the solutions are similar in capabilities for our needs.
Amazon S3 integrates way better with other AWS services and tools, making it the quick choice for your AWS based application. Furthermore, the pricing for Amazon S3 is very competitive and it has all the security and access capabilities to enable your application. Google …
Pricing and Cost Structure are best:Amazon S3:Offers multiple storage classes: Standard, Intelligent-Tiering, Standard-IA (Infrequent Access), One Zone-IA, Glacier, and Glacier Deep Archive while other were costly and figuring out the monthly costs were difficult. The …
Amazon S3 has so much other functionality than it's competitors with so many more use cases. We use One Drive, Drop Box, Teams, Google Drive and other products for basic file sharing while working with partners and clients but that's kind of the extent of those products. S3 …
More robust and feature rich. Also more cost effective. However, the other options do lend themselves to be better at user friendliness. But if your technological and willing to look up help in the support knowledgebase you will do just fine and get a better product at …
When we were implementation the solution of our issue then we find Azure and Google Cloud Storage platforms but we were unable to find the proper documentation for the platform as compared to S3, So we moved to S3 and discarded the other options. Cost wise there are only some …
Amazon S3 (Simple Storage Service) is the only AWS offering for object storage. DynamoDB is fantastic for unstructured data but does not handle object storage. The relational database service (RDS) is excellent but only applies to use cases with structured table data, and does …
All other alternatives are also good but as our infrastructure was on AWS, Amazon S3 (Simple Storage Service) was a better choice due to its better integration with other AWS services. It was serving the purpose in an economical way. All of our needs were being fulfilled by …
Amazon S3 is the business driving arrangement by Amazon Web Services. It has answers for all startup's and huge venture. The expense viability is one reason that I have chosen the Amazon S3 over other
We are an AWS shop, thus it is much easier to use with other AWS services. It may not always be the cheapest but once you are in AWS if you can decouple your apps and use this as one of your services it will certainly make developer's life easier and admin life easier.
S3 is the most mature simple storage service on the web. It has direct competitors from Google and Azure, as well as a bunch of other competitors that focus on different aspects. For example, Backblaze specializes on file backups, and while s3 can also be used for that, …
We had already decided to use Amazon S3 (Simple Storage Service) for other compute services, so it made sense to use Amazon for blob storage as well. By using the same cloud vendor, we can more easily integrate between AWS services like Cloudfront. Blob storage is essentially a …
Amazon S3 provides a variety of tools for uploading short and large objects to the cloud. AWS S3 is a key-value store, one of the major categories of NoSQL databases used for accumulating voluminous, mutating, unstructured, or semistructured data. S3 object retrieval is fast. …
They're both great. I really don't know the differences, but both have the same basic set of features, in my opinion. But, S3 is widely know as a greater tool, safer, and much easier. Also, it's used by and compatible with a lot of applications around the world. That made us …
I think [Amazon S3 (Simple Storage Service)] is cheaper than Azure Blob Storage (at least at the time I selected it). It is a low maintenance product and it is more reliable.
The main differences are that S3 files can be accessed publicly without having an account on the service so it is suitable for website assets, but the other services have desktop hard drive syncing applications so they are more suitable for sharing files to other staff in the …
Google Cloud Storage provides many of the same features as Amazon S3 (Simple Storage Service), but they differ quite a bit in the database integrations they provide. The main reason we had to use Amazon S3 (Simple Storage Service) is because our main infrastructure cloud …
AWS probably has the most difficult UI to learn but it's the far better service. Google is probably second but it has storage limitations and there are some security concerns (still a good tool for collaboration) The Microsoft products are the worst IMO. They're slow and have the …
If your application needs a relational data store and uses other AWS services, AWS RDS is a no-brainer. It offers all the traditional database features, makes it a snap to set up, creates cross-region replication, has advanced security, built-in monitoring, and much more at a very good price. You can also set up streaming to a data lake using various other AWS services on your RDS.
For archiving old data that is infrequently accessed it is perfect. You can choose to let it go into cold/glacier storage which saves even further costs but at the expense of accessibility. I like that you can set access rules to automatically move it to the next storage tier after a certain amount of time that it has not been accessed. I also use it a lot with PHP via the API. We have some custom in-house applications that have a fair amount of data uploaded into them. S3 has been a perfect solution to store these files, taking the load off web servers and never having issues with running out of storage.
Automated Database Management: We use it for streamlining routine tasks like software patching and database backups.
Scalability on Demand: we use it to handle traffic spikes, scaling both vertically and horizontally.
Database Engine Compatibility: It works amazingly with multiple database engines used by different departments within our organization including MySQL, PostgreSQL, SQL Server, and Oracle.
Monitoring: It covers our extensive monitoring and logging, and also has great compatibility with Amazon CloudWatch
Reliable and secure way to store objects in cloud: Storing any type of file(text, pdf, doc, csv, etc) is very easy with S3. Fetching this stored content as and when you require is also pretty easy and can be done using both the console and AWS CLI. Appropriate permissions can be set up for buckets using IAM roles/policies.
Versioning in buckets: S3 gives you a very handy feature to store multiple versions of objects stored in a bucket.
Lifecycle policies: You can set up lifecycle policies in S3 that can move your older objects to IA or Glacier. This setup is very easy and can be done within minutes for a bucket.
Replication: The cross-region replication that S3 provides is wonderful. Beware of the inter-regional data transfer costs though.
It is a little difficult to configure and connect to an RDS instance. The integration with ECS can be made more seamless.
Exploring features within RDS is not very easy and intuitive. Either a human friendly documentation should be added or the User Interface be made intuitive so that people can explore and find features on their own.
There should be tools to analyze cost and minimize it according to the usage.
The biggest problem is to rename the bucket. There is no direct way to do it. One need to copy entire content to the different bucket with intended bucket name and then remove the old bucket. Sometimes it creates issues.
There is no direct way to upload .zip file and extract it to inside the bucket.
While uploading large files, sometimes you will find a drop of upload speed. I observe it so many times and while checking my internet speed, I find it absolutely perfect. So there must have something wrong on the AWS side.
We do renew our use of Amazon Relational Database Service. We don't have any problems faced with RDS in place. RDS has taken away lot of overhead of hosting database, managing the database and keeping a team just to manage database. Even the backup, security and recovery another overhead that has been taken away by RDS. So, we will keep on using RDS.
I've been using AWS Relational Database Services in several projects in different environments and from the AWS products, maybe this one together to EC2 are my favourite. They deliver what they promise. Reliable, fast, easy and with a fair price (in comparison to commercial products which have obscure license agreements).
The UI could have some improvements (better filters) and there is a lack of some useful functionality, such as renaming an existing bucket: the latter is much needed in the context of rapidly evolving companies. Overall though, Amazon S3 (Simple Storage Service) is easy to use and to onboard people and tools to, thanks to its various APIs and flexibility.
I have only had good experiences in working with AWS support. I will admit that my experience comes from the benefit of having a premium tier of support but even working with free-tier accounts I have not had problems getting help with AWS products when needed. And most often, the docs do a pretty good job of explaining how to operate a service so a quick spin through the docs has been useful in solving problems.
It depends on your tier within Amazon on how great of support you get. For us we have a dedicated Point of Contact that is great in taking in what we need and discussing it with the S3 team. The best thing is features we need or suggest have a good chance of landing on their roadmap.
Amazon Relational Database Service (RDS) stands out among similar products due to its seamless integration with other AWS services, automated backups, and multi-AZ deployments for high availability. Its support for various database engines, such as MySQL, PostgreSQL, and Oracle, provides flexibility. Additionally, RDS offers managed security features, including encryption and IAM integration, enhancing data protection. The pay-as-you-go pricing model makes it cost-effective. Overall, Amazon RDS excels in ease of use, scalability, and a comprehensive feature set, making it a top choice for organizations seeking a reliable and scalable managed relational database service in the cloud.
S3 is the most mature simple storage service on the web. It has direct competitors from Google and Azure, as well as a bunch of other competitors that focus on different aspects. For example, Backblaze specializes on file backups, and while s3 can also be used for that, Backblaze provides a better price point in exchange for more focused functionality. S3 really shines in that it performs simple things astonishingly well, while also being flexible enough to stretch itself to other situations (data lakes, file mounts, backup/restores systems, web hosting, etc.).
Allows us to store large amounts of raw traffic from data providers to allow us to view data our systems received at particular times, in order to reconstruct inputs in case of errors
Is capable of storing very large amounts of data cheaply without material impact to our business