Amazon DynamoDB Reviews

The ease of operation. It's so easy to scale it up and down. And it delivers predictable performance, as promised. 

We are using DynamoDB in two projects now. One for storing large amounts of file metadata, and one for storing small amounts of session data. The fact that it is so easy to create tables and provision for known throughput saved us a lot of time, especially because we are deploying multiple environments and multiple regions. 

DynamoDB doesn't provide server-side encryption, so we had to do it manually.

Any replication to other regions requires writing code. It's not so bad, but would be better to get a solution out of the box. 

We store some protected patient information in DynamoDB, and in order to keep it HIPAA-compliant, we have to encrypt it at rest. Some services such as S3, Redshift and SQS will do the encryption on the server side, but with DynamoDB, the client application had to do the encryption before writing to the DB, and has to decrypt when reading. This means that we need to manage encryption keys: we need to store then securely and rotate them periodically, which is extra coding and complexity.

As for cross-region replication, AWS offers a way to do this using DynamoDB streams and Lambda, whereas other databases such as postgresql enable to configure replication without coding.

I have used it for one year.

We have not encountered any deployment issues. It's straightforward. 

We have not encountered any stability issues, but you should expect to get exceptions when you exceed the provisioned throughput. This is okay and it is by design. You need to handle it by retries with exponential backoff. 

We have not encountered any scalability issues.

We used PostgreSQL. We switched to DynamoDB for the scalability and ease of deployment and operation. 

Initial setup was straightforward.

An in-house team implemented it.

No time wasted on provisioning databases.

Pricing depends on volume and provisioned throughput. When low, the price is extremely low. But for really large amounts of data, it can be expensive. Make sure you keep there only data you really need available fast.

We evaluated Cassandra but chose to abandon it because it was harder to configure correctly and scale. 

We use the solution to emulate MongoDB for the document database.

The solution is useful for storing JSON documents. DynamoDB is a platform as a service. We don't have to administer the tool. We did not face any challenges while integrating the product with other services.

We use the document database. The primary key is quite slow. The free tier is quite hard to use.

I have worked with the tool for three years.

The tool is stable.

We are satisfied with the scalability of the tool.

The deployment is quite easy. The deployment takes a minute. We need only one engineer to install the solution.

The ROI is very good at the beginning. However, it gets expensive if we use it a lot.

I rate the pricing a six out of ten.

DynamoDB and Cosmos DB are more or less the same. My preference depends on the cloud I am working on. However, I prefer Cosmos DB because I have used it more.

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

We use the product to store historical data. 

The platform is easy to develop and configure. It requires some knowledge of the tool to access, but the process is simple.

They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors.

We have been using Amazon DynamoDB for a year.

I rate the platform's stability a nine out of ten.

In our organization, around five teams use Amazon DynamoDB. The product is scalable enough to meet the application requirements. We plan to increase the usage in different areas within the enterprise. I rate the scalability a ten out of ten.

The initial setup is simple. It requires three engineers to complete the deployment and takes a few weeks.

We implement the product in-house.

It helps us store user advertising data, enabling efficient analysis and data management. The platform's advantage is related to fast access to real-time information for scalability. We can access the data storage from different zones and versions. We can configure it in a way that can improve writing and reading as well.

It is a good product. It supports a lot of functionalities, scalability, and multiple versions. I rate it an eight out of ten.

I use the solution for connecting API services with databases. At our company, Amazon DynamoDB is being used for data normalization and to configure JSON objects. 

The features of JSON documents and query handling of databases are vital features of the solution. 

The response time for data queries should be less than a second. The queried data is not required in normalization for parameter queries, password queries, or data that can be used frequently. 

It would be beneficial if the product can be made open source. 

I have been using Amazon DynamoDB for three years. 

The product is stable. 

The solution is highly scalable. 

I found the initial setup to be straightforward. I work with the graphic console and recently have been working with the APIs and queries of the Enterprise Command Line.

The ROI depends on how Amazon DynamoDB is integrated with other solutions. 

Amazon DynamoDB is an expensive product. 

I recommend that others use Amazon DynamoDB, but the expenditure must be calculated beforehand. I would rate the product an eight out of ten.