Amazon DynamoDB Reviews

Since Amazon DynamoDB is a serverless NoSQL database, we are using it to develop an application that uses a NoSQL database.

Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region.

Amazon DynamoDB has a very complex configuration if you go very advanced.

I have been using Amazon DynamoDB for the past two to three months.

We are very much satisfied with Amazon DynamoDB's global tables feature. It was very easy for me to learn to use Amazon DynamoDB. After one week of upskilling, I was able to query and use the solution. The solution has a very user-friendly interface. If you don't know about queries, you can filter out data with the interface without writing complex queries.

Our company decided to use Amazon DynamoDB because it is a serverless, NoSQL database. Amazon DynamoDB has a very complex configuration if you go very advanced. So, start with the basics and use PK and SK only. After that, you can jump to search indexes. If you have some advanced use cases, the configuration might have some complexities. Amazon DynamoDB has good scalability, and it is very fast for querying.

Overall, I rate the solution ten out of ten.

We use this solution for two main purposes. The first is for the IoT-H devices to collect data and push the collected data to the DynamoDB. The second aim is to use the Terraform integration for the GS. This solution supports 25 users. 

The most valuable features are the flexibility and the compatibility options without needing to use any additional services or software. It is an independent solution that doesn't need other solutions to operate. 

The design patterns and the documentation for this solution could be improved. In a future release, we would like to see an improvement of the data push options as we sometimes experience blockers when moving data. 

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

This is a stable solution. In the last three years, I have not encountered any issues. 

This is a scalable solution. 

We make use of the paid version of support and do not usually wait more than 40 minutes to be assisted via email or live chat. I would rate support a five out of five. 

Positive

The initial setup is not that easy. It requires at least one mid-level DevOps engineer to understand both the company requirements and also the AWS capability in order to meet them. I would rate the initial setup a four out of five. 

I would rate the pricing for this solution a four out of five. 

I would rate this solution an eight out of ten. 

We mostly use it for e-commerce data.

Any inflow of new data, whether it is new input or schema inflow, can be captured and stored in DynamoDB. Any variables or inputs can be captured in DynamoDB.

It's easier to scale than other databases.

It's serverless, scalable, and we can replicate and do blow letters. It's okay from my side.

When creating login credentials, we can make a security setup while using DynamoDB.

It has a different schema type than other databases. DynamoDB has a separate schema.

It is a schema-less, NoSQL database. When connecting to other services, we need to sort and code the data. We need to especially monitor the coding of the data. There will be some minor changes to normal coding.

I have been using it for two years. 

I would rate the stability a seven out of ten. We faced some configuration issues.

We mainly need to know the configurations and settings. They need to be customized before setup can be done.

We are a small company; only four developers use it.

I would rate the scalability an eight out of ten. 

AWS technical support is very friendly and looks out for the business to continue. They will support you based on your support ticket.

Positive

I have used Azure. It was for a previous project.

For deployment, we use libraries. If you want to create a library, it's basic functionality. We can call it by integrating with any Python library. We can deploy it very quickly and easily.

Compared to MongoDB, we can set up DynamoDB within half a day.

AWS handles the maintenance.

It's pay-as-you-go. You pay for how much you use and store. We can also make automatic backups and use replication for the database. It is suitable for high-performance applications.

It's on a monthly basis. So it's a subscription.

We use it for support services, so we subscribe to it only when needed. So, the pricing can vary. 

I would rate the pricing an eight out of ten. 

I can recommend AWS, especially for enterprise and retail-level customers. 

Overall, I would rate it a seven out of ten. 

We use Amazon DynamoDB because we require a non-relational database for a variety of brands.

For example, we have extensive experience with relational databases. If you use Dynamo to implement a large project, it will help you implement it faster and perform faster searches. It's good because I feel, the JSON format makes it easier to read.

The most valuable feature of this solution is the non-relational database.

If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult.

I have been using Amazon DynamoDB for one year.

I am working with the latest version.

Amazon DynamoDB is quite stable.

Amazon DynamoDB is a scalable solution.

We have 160 users, in our organization.

We need to build a better solution using this database. Perhaps for future items. That was a great experience.

I would rate the technical support a four out of five.

Previously, we used CatalinaDB. It is very similar.

If you don't have any prior expertise, it may be rather complex.

We only require one person who has knowledge of databases to maintain this solution.

The deployment was done in-house.

We have seen an ROI, but the pricing is actually determined by the clients you implement.

It is a little expensive. 

It is dependent on the license you use. The license we now have is for the consumption of reading. It's around $80 each month, or more.

We tried to implement certain schemes or determine what is the best way to implement the project. We discovered that Dynamo was better.

Have database experience not just in relational databases, but also in non-relational databases, as well as AWS or configuration experience.

I would rate Amazon DynamoDB a nine out of ten.

We host the cloud version of our software, ENSUR by DocXellent, on EC2 instances with fifteen separate installations currently.

These low-cost, flexible, and scalable VMs are an excellent value for the service they provide.

We also utilize CloudWatch monitoring, the Simple Notification Service, and the VPC solution for VPN connections for us, and for our clients, to these instances.

Previously, our product was exclusively sold as an on-premises solution. Once we decided on AWS for a cloud hosting platform, we were able to increase our sales dramatically. Within less than two years of offering this option, cloud hosted sales now make up more than 50% of our new business.

AWS is forward thinking and always adding new features. I generally cannot think of an area of improvement.

To be honest, AWS and their people know way more about the hosting and infrastructure needs of software developers than me and my team. I can’t think of any features that that could additionally add.

If I were to pick on one area to improve and an area in which they are not equal to or superior to the competition, I would say the user interface. It is far more simplistic that Azure’s slick presentation.

Of course, that is by choice, like the Amazon experience. But there are instances where the next step is not as logically presented as in Azure.

I still maintain that AWS is the unquestioned market leader in regards to features offered and is always introducing new ones in response to what their customers ask for.

They also are leaders in price, ease of use, and support, making them the obvious choice for my company’s cloud IaaS provider.

I have used Amazon AWS for three years.

There have been a couple of well-publicized instances of non-availability, but I think overall downtime of a few hours per year is acceptable.

The biggest problem is that everybody knows about downtime because of how public AWS’s failures are with their high-profile customers, who make news with their downtime.

We have had no problems with scalability.

I would give technical support a rating of 10/10. AWS stands for AWesome Support! They know way more about problems than I do and often patiently teach me while solving an issue.

We occasionally use Azure, alongside AWS, because we have a monthly credit from Microsoft. But AWS was first and all our commercial accounts are on AWS.

I was able to setup a prototype of our application by myself in half an hour. Since then, whenever I need to do something new, rather than read a whitepaper, I just call support and they walk me through it. This is part of the support they happily provide AND without griping about me not trying it by myself first.

You don’t need to look anywhere else. AWS is the leader in price and features, so why mess with success.

We evaluated Azure, Google, Rackspace and several smaller, now extinct companies.

My company has a fleet management system, and we primarily use DynamoDB to store location data.

I appreciate the visibility of DynamoDB, as I can observe everything on the Console. I can also monitor its operation with CloudWatch. As more data comes in, although we pay more, the product scales well. However, it can be expensive.

There is nothing that I can think of for improvements.

I have been using DynamoDB for five to six years.

Amazon DynamoDB is pretty stable. I haven't encountered breakdowns or bugs.

DynamoDB scales well. As more data comes in, it becomes more expensive, however, the scalability aspect is not a concern.

About 30% of the time, Amazon's support lacked enough knowledge to solve my problems. 

Neutral

The initial setup is straightforward.

As more data comes in, it can become expensive, however, it's a manageable cost.

I would absolutely recommend DynamoDB to others. It's easy to use, especially if sticking with AWS. 

Overall, I would rate DynamoDB nine out of ten.

I have set up Amazon DynamoDB and started using it with my product for data insertion, creation, reading, testing, and configuration.

Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance.

I initially faced issues with the solution's stability, performance, and security.

I have used Amazon DynamoDB two to three times.

I rate the solution’s stability a seven to eight out of ten.

I rate the solution an eight out of ten for scalability.

The solution’s technical support is good.

The initial setup of the solution is average, and it is neither easy nor difficult. You do need to have some knowledge and experience to set up Amazon DynamoDB.

Given the services and benefits provided by AWS, the solution's pricing is average.

Overall, I rate the solution an eight out of ten.

Amazon DynamoDB is used to store data in the form of JSON. I use AWS Lambda to insert data into Amazon DynamoDB.

In a relational database like MySQL, we convert values, like name, age, or other details about a person, into tables. We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases.

The solution's efficiency and performance should be faster than other databases.

I have been using Amazon DynamoDB for six months.

I rate the solution a nine out of ten for stability.

Amazon DynamoDB is a scalable solution that can store more data than other databases. AWS manages Amazon DynamoDB, such as increasing the storage, RAM, or CPU of its actual server. We need not worry about the solution's scalability. The solution's availability is 24/7.

The solution’s technical support is good.

I previously used Amazon RDS.

The solution’s initial setup is easy.

We can deploy Amazon DynamoDB in one to two hours.

The solution was free to use one month ago, but now it is a paid service. Amazon DynamoDB is not an expensive solution.

We can use Amazon DynamoDB for both on-premises and in the cloud.

Overall, I rate the solution a seven out of ten.