Amazon DynamoDB Reviews

DynamoDB is suitable for a wide range of applications, from small-scale projects to large-scale and high-traffic applications. Amazon DynamoDB is a high-performance managed service, and AWS fully takes care of the operational parts, including hardware, setup, and maintenance.

Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance.

The solution's backup and restore could be improved to be able to utilize batch operations.

I have been using Amazon DynamoDB for more than two years.

Amazon DynamoDB is a stable solution.

Amazon DynamoDB is a scalable solution. More than three people are using the solution in our organization.

The solution’s technical support is good.

The solution’s initial setup is easy.

Amazon DynamoDB is a cheap solution.

Amazon DynamoDB automatically publishes AWS CloudWatch metrics that provide information on health and performance, read-write capacity, system errors, and conditional check fail requests. It is easy for somebody to learn to use Amazon DynamoDB. I would recommend the solution to other users.

Overall, I rate the solution ten out of ten.

My use case is user data management.

It is fairly straightforward. The best part is the scalability, the response performance, and scalability part. I didn't like the API extremely well, but it was okay. 

Moreover, the system is pretty well documented, which is important. And it's observability. That's okay.

Data integrity across availability zones would be a valuable addition. 

Currently, DynamoDB provides eventual consistency across availability zones, but strong consistency would be beneficial for certain use cases.

There is room for improvement in the pricing. A more tiered pricing structure would better accommodate different usage patterns. Similar to leasing a car versus buying it outright, there should be options for those with lower or higher usage volumes.

I have been using this solution for three years. 

It is stable enough.

This is a backend system. So it can be hundreds of thousands of users because it's not like a user interface type thing.  So, it serves hundreds of thousands of real-world users.

It is a highly scalable solution. 

Never used the support. I got all the information from the documentation. 

I've worked with NoSQL databases like Redis and Amazon Keyspaces in the past.

We switched to DynamoDB because it is SaaS. We didn't have a dedicated team to maintain our database infrastructure.

Technically, Redis is better than DynamoDB is quite capable. However, it requires less maintenance compared to other NoSQL solutions.

I tried Step Functions, but it would be too pricey if I used it too much. So, I didn't stick with it. For low volume, the peanuts work. For high volume, they become expensive.

I just did play with it and then made a forecast and said no.

We just picked Amazon DynamoDB because it did the job, we wanted to do. I don't find it complicated. We use it. It's pretty straightforward.

It is SaaS from Amazon, you just use it. You don't install anything. It could you could install it if you want. Like, I didn't, but I never used that. 

It is a service from Amazon. So that's one of the benefits; you just use it. There is no maintenance required. 

For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive.

It might not be the best choice for high volume. DynamoDB's billing is based on usage, not a fixed subscription fee. The invoicing is done monthly, but you only pay for the resources you consume.

There are no additional charges for support or other services. You pay solely for the resources you utilize.

My role is a solution architect. So, basically, we play with what we have at hand with what's the company strategy. We're more like Jokers. We play with whatever is the context, not necessarily being like, "hey, I'm an Amazon guy. I only do Amazon." It's mostly into building the software rather than using off-the-shelf stuff. So, we just built what we needed about VPMs in other companies.

For simple, straightforward use cases, I would recommend it. And for whatever decent volume of usage means for each company, I wouldn't recommend it for a tenth of thousands of transactions per second.

Overall, I would rate the solution a nine out of ten. 

It does the basic stuff. It's an efficient resource, just like a special database.

For us, we are using DynamoDB to store the log credentials or the token, specifically. So that's the use of the service for us.

Speed is the most valuable feature. The speed to store and retrieve data from it.

It would be nice to have some AI features in DynamoDB.

I have been using this solution for around eight months. We don't use the latest version. 

I would rate the stability a ten out of ten. It's very stable.

I would rate the scalability a nine out of ten. Around 50 to 60 users are currently using this solution in our company. We use this solution every day. 

However, we don't plan to increase the usage of the solution because we use it to restore some services when they are deployed.

We were testing different services. We used RDS. We switched to this solution for the necessity of this service. The service was changed, and we needed to create a different architecture for the application.

We did not use AWS CLI or the console to configure the services, so it's easy to do all we need.

So, it was easy to set up DynamoDB. I would rate my experience with the initial setup a nine out of ten, where one is difficult, and ten is easy. 

It took a couple of minutes to deploy it. 

We always use Terraform or another EAC tool to create a resource. We never deploy a resource using the console.

One person is enough for the deployment and maintenance of the solution. 

I would rate the pricing a four out of ten, where one is cheap, and ten is expensive. The price is cheap. It is a cheap service. 

There are additional costs for DynamoDB like the replication and backup configuration.

It's a good service for all kinds of enterprises.  

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

We are using Amazon DynamoDB for our company for multiple service database management.

One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data.

Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB.

In an upcoming release, it would be beneficial to show spatial data on the interface. There would is a very important metric for our company.

I have been using this solution for approximately two years.

I have found the solution to be stable.

The solution is scalable.

The technical support has been good. However, there should be more local support for our company that is international, this would allow for better communication.

We used MongoDB previously and I found it more powerful.

The initial setup is very easy because DynamoDB is from Amazon.

We have evaluated other solutions.

I would recommend anyone looking to implement any software to understand the needs of their business and do a purpose analysis to determine if the software fits their use case. No matter how good a solution can be if it does not fit the purpose of the business it will not be helpful.

I rate Amazon DynamoDB an eight out of ten.

I integrate Amazon Connect with Amazon DynamoDB for the database.

Amazon DynamoDB is serverless and fast, and we can use different keys along with it in our code. Amazon DynamoDB can accommodate any number of datasets. It is better than the RDB (relational databases). We can use the primary and sort keys to get any sorted data, which is good. The solution is easy to use.

Anyone with AWS Lambda knowledge can easily integrate and use Amazon DynamoDB. The solution supports all languages.

The solution would work fast if a contact center is in the same region.

I have been using Amazon DynamoDB for four years.

We haven’t faced any issues with the solution’s stability.

We can scale Amazon DynamoDB as much as we can.

I rate the solution’s scalability a nine out of ten.

We can integrate Amazon DynamoDB with other AWS services in our architecture with a simple function. I would recommend the solution to other users.

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

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.

I work in the cloud automation domain. I used the product to store data related to automation. We had our own website. We use the product to manage automation. I also used it to store user information.

The solution is very simple to use. It is a NoSQL database. The UI is good. DynamoDB Streams is an amazing feature. If there are any changes in the DB, it will automatically trigger the workflow. The GUI is awesome.

I have used the solution in the past year.

I rate the tool’s stability a ten out of ten. It worked perfectly for us.

I rate the tool’s scalability a ten out of ten. We had more than 500 users.

I used MongoDB a very long time ago.

The initial setup is easy. The documentation is good. The deployment could be done within minutes.

The solution is cheaper than Cosmos DB. If an organization doesn’t have much data to store, they can use the solution for free.

It is a good investment. We were able to use it in automation. It was easy to use. Even the new joiners were able to use it effectively. All our automation was effectively stored, and we could build the dashboard out of it to present to the higher management. Anyone who wants to explore a NoSQL database in the cloud must use DynamoDB. Overall, I rate the product a ten out of ten.

We use Amazon DynamoDB to store data. We have a hardware device that is continuously reading data. For example, there is a sensor generating weather data every second, and we collect the data after 30 seconds. So, the data is quite huge. We store this data in DynamoDB.

Depending on the client, we show some charts, etc. as well.

Storing is a valuable feature. We can store data as an entire object rather than the traditional structure of the data.

Accessing speed is very fast. We have never faced any problems accessing the data.

It is stable, scalable, and easy to install.

There are some issues, like if we missed something or somehow were not able to store the data, then it was quite difficult for us to get back that data.

If some data crashed during transmission, then there were no alternate options to recover that packet, to backup, or to re-collect that data for a specific device.

Caching is a problem; it is not there. In DynamoDB, my experience is that it works like a UDP; whatever is lost is gone. There is no other mechanism by which we can re-collect that data.

I would like to see video and audio buffers in DynamoDB. 

I used it for around just three months.

It is a stable solution, in my experience.

We currently have 1000 devices.

Every hour, out of 100 devices, around five devices were missing some data packets. It was not very constant as in similar devices but was at random. On average, five devices were missing data every hour.

The DevOps team was raising the tickets with technical support, but we didn't have any problems with the Amazon side.

The initial setup was very straightforward. Deployment and configuration took about a week.

If it is a real-time system, very specific to the domain, it is a great solution. If it is embedded, has huge data, the frequency is quite high to store that data, and the device is in a remote area or there is no connectivity, then this solution is perfect.

However, if the device is connected through the internet, then it's definitely not a good solution. That is, if it is connected to the internet and proper connections are there, then this solution will not be not feasible.

If I were to rate this solution, I would rate it at six on a scale from one to ten.