Amazon AWS Reviews

We are doing our own custom development, which is run on AWS.

We have done a lot of work using Amazon AWS.

All of our deployments are hosted on the Amazon AWS Cloud. Because many of our client requirements are on AWS, we have our own AWS development environment, and then we use GitLab to migrate it to the client environment.

We write a lot of Lambda functions for various services, as well as serverless functions.

We use Amazon S3 to store a large amount of data and images.

We also use Amazon DynamoDB Database for many of our developments.

Many of these features are already available on AWS. We're just getting started, and we're still learning a lot.

The performance is good.

We would like to see if AWS includes any inbuilt automation. Also, we are very interested in AWS's AI/ML features, as well as IoT, AR, and VR.

We have been using Amazon AWS for the last couple of years.

The stability of Amazon AWS is good. We have not had any issues.

It is easy to scale.

In our company, we have approximately 20 people who are using Amazon AWS, on a daily basis.

We have a few issues in the beginning during the setup, but we were able to resolve them ourselves.

We are satisfied with the technical support.

The development is primarily on Python, Node.JS, and Java technologies.

The initial setup was quite complex at first, but once we got the hang of it, it was simple.

It took a week to complete the installation from scratch.

Because it is a cloud product, it does not require a lot of maintenance. We have CloudWatch and some alerts set up, which is how we manage everything, including utilization.

We completed the installation internally.

The pricing is fair. We don't have any issues with the pricing.

I was evaluating different ways to incorporate RPA.

I would recommend this solution to others who are considering using it. 

It's very scalable and serverless. We are only charged for the functions that we use. This includes Lambda, which is a nice feature, in my opinion.

I would rate Amazon AWS an eight out of ten.

We are using AWS for storage for the database server and data. 

Its scalability is powerful. We are providing services for people to schedule an appointment for the vaccine and for COVID testing to see whether they are positive or negative. In one night, we can have 240,000 people in one minute to schedule an appointment. I am very happy with the scalability.

The dashboard can be improved a little bit to provide more information.

I have been using this solution for more than one year.

We open the services at midnight, and we have many people taking our services, and it has been very stable.

Its scalability is wonderful. It is suitable for enterprises.

I don't directly take support from Amazon. We have a company for technical support, and their suggestion was great. The technical sample that they gave was very easy. It helped to resolve the problem quickly.

It was very easy.

I did it myself.

It is not the cheapest one, but there is a good ratio between the quality of service and the pricing. Its price is good for me.

I would recommend this solution. I would rate it a nine out of 10.

This solution is a good option if you are looking for cloud-based storage. Using a cloud-based solution, you can start with a basic version and scale up as needed. 

It is possible to scale up the server capacity on demand. That is a big advantage as far as a cloud system is concerned. Backup of the systems can be done easily and can be automated. There are automation tools within this solution that help us manage deployment.  

This solution could offer more security. 

We have used this solution for five years.

This is a scalable solution. 

The initial setup was straightforward. 

We would recommend Amazon Web Services to someone who is looking for a global rollout or deployment.

I would rate this solution a seven out of ten. 

I am an integrator. 

We get some courses and communications from the technology, so we update our knowledge about how to use that kind of technology for the cloud.

Cloud Management has been a valuable feature. It depends on how we meet our business challenge head-on with the cloud computing services because sometimes you find that the computing is working fine with Google, and sometimes it's Azure, and sometimes it's Amazon.

One customer is going to work with Azure, and the next year they'll change everything and work with AWS because in our environment the most sensitive data is kept in the on-premise environment the majority of the time. It's more frequent that you can find an environment that has hybrid implementation.

I think in some situations the key difference between Azure and AWS is how they support the hybrid cloud. In some scenarios, Azure will support hybrid cloud better while AWS offers direct connection. Azure provides security by offering information on the whole account where AWS security provides an easy find row. It depends on what the customer wants to have in the environment or how they want to work with that or what is the customer's budget.

Most of the issues are that because it's a hybrid environment, the configuration is restricted with the firewalls. The most common issue that they have found is generated by the person who administers these kinds of solutions.

It would be great if you could find a way to make an architect design and just click one button and put that in the cloud.

I have been using this solution for more than six years.

It's simple because the customer will get familiar with the technology. The customer has to know his company. He has to know it's a new technology and everything gets complicated if the person doesn't adapt to changes. It depends on how they approach all the adoption from this kind of multi-cloud solution.

I would rate this solution 7 out of 10.

My advice is to read about the solution. All of the learning is logical, and you can follow it and put it in practice. I believe it's a great product and great technology.

We build our own service virtualization tools. We use Amazon AWS for cloud hosting. AWS has a lot of services that we use.

Everything in AWS is valuable? AWS itself is valuable in multiple ways. Whatever I use is valuable, which is the reason we use it.

It has a lot of new features that make our lives easier in terms of what we want it to do in the house.

I have been using Amazon AWS for four years.

Amazon AWS is quite stable, which is why it is used by many people.

Amazon AWS is highly scalable.

There's no tech support. AWS operates under a different model. There is no simple tech support available, as there is in other traditional methods. We have an enterprise account, so it's not like individual tickets; we have an enterprise client relationship, so it's very different.

It is easy to access them.

I've worked with a variety of service virtualization tools.we have not used anything from IBM. We don't use Azure, we use Amazon AWS. AWS as an IaaS or PaaS cloud solution.

The initial setup is straightforward. However, you can't give a broad overview of your setup as it depends on your use case.

There are numerous use cases, and the setup varies from complicated to very simple in some cases. As a result, I don't want to give a generic answer.

It's quite good, I would rate Amazon AWS a ten out of ten.

Amazon AWS has a better portfolio. They have an impressive technology and service portfolio.

The invoicing procedure of Amazon AWS needs to be improved. It can be difficult to manage.

I have used Amazon AWS within the last 12 months.

The technical support of Amazon AWS is good.

I have used Oracle previously, and I don't see any difference between Amazon AWS and Oracle from the stability and availability point of view.

Amazon AWS is a bit more expensive than Oracle.

I rate Amazon AWS an eight out of ten.

Propension ML model implementation, so the tech stack involves ETL, storage and computation capabilities for model design, implemented solution also involves pipelines and events handler for automated runs

Development of the product has been consistent which is beneficial for data engineers unlike Azure which has changed a lot, causing them much confusion.

Amazon has a much better understanding of the workflow of data scientists and machine learning processes. This is seen by their SageMaker which offers different versions of the models to be used.

I think that the interface could be improved.

Additionally, they lack good connectors with services within other clouds. For example, it does not integrate well with Power BI which is a Microsoft service.

Sometimes, some of their services can be too complex/technical. It's almost like they tried taking a microservice approach meanwhile the users want a little more integration

In other words the multi-cloud approach is not robustly promoted as there is a noticeable difference in ease of use.

I have been using this solution for eight months.

just one event where the whole service was down, although im not sure if it was anticipated by the service due to not being the actual service administrator

very good, the tier we used is one of the most basic and still performed with no problems

never had experience with customer service or support

Neutral

pretty straight forward, although this project was 2nd one to be implemented on this cloud, so the customer company had already been up the adoption curve of the service

we provide the implementation as a consulting company soy neither in house or 3rd party as we are the 3rd party

If you are looking to implement Amazon AWS within your company, I would suggest finding someone that already knows some AWS as it has a harder adoption curve.

I would rate it a six out of ten. 

I used Amazon AWS to create a server for our local application and integrated it for clients.

What I liked most about Amazon AWS are its services and infrastructure. They're good. It's a very user-friendly platform. Its servers are also more reliable than others.

An area for improvement would be their technical support packages. They should improve the technical support packages for users on free trial. There is a gap between the user and their technical support team. My suggestion is for them to build on their support for their free trial users.

I used Amazon AWS within the last 12 months, but not right now as I used it for my old project, when I was creating an EC2 server at that time. That was my virtual project, so I created an account and used the AWS services, and also created the server, but that project was closed, so the need was unmet.

Amazon AWS is so stable.

Amazon AWS is scalable, and I'm rating it a nine out of ten for scalability.

Installation for this solution is not complicated. It's easy to install. It's straightforward. If I were to rate my experience with the initial setup of Amazon AWS, with five being the best and one being the worst, I'm giving it a five out of five.

Amazon AWS was deployed in-house. I didn't use any integrator, reseller, or consultant.

I was working with Alibaba Cloud before I worked with Amazon AWS. Alibaba Cloud is comparatively more difficult than Amazon AWS.

I also evaluated Google Cloud and the main differences between Amazon AWS and these other products include how Amazon AWS was easy to use, user-friendly, and its infrastructure.

I've also used the server I built via Amazon AWS for our Android applications, and found the reliability and the stability of that server to really good. I can use it again next time when I'm into development. The server's always good.

I had four customers on Amazon AWS. Those customers were architects working in technology and IT companies.

I also created a server for our taxi application client as one of my projects. I have a local user.

I had three to four people for deployment and maintenance. Some were nontechnical, while some were technical, with an IT background.

Because I was on the free trial version of Amazon AWS, I didn't get to use their technical support.

I used the free trial of Amazon AWS for my clients. I used it during the testing period. I developed applications for clients, then recommended AWS servers to them for the applications.

I highly recommend this platform to others who are considering using it, because its stability is good.

We have different requirements vs other users, so I'm not in a position to recommend features, especially because I have not used all the features of Amazon AWS. I can't say that this feature is good, or that feature is bad. I can't say which features to add to the next release.

I'm rating Amazon AWS a nine out of ten and this is both from an integrator and customer perspective.