The first use case was indexing large quantities of data streaming in from Kinesis so that we could look up the data and collect it for MapReduce jobs.

Its current use case is as primary storage for a web-based service. It's a global data store for everything to do with content and customers.

In terms of its version, it's hosted. There is no version. You just have DynamoDB.

We use the product as our database. It is a NoSQL database. We can use DynamoDB as our database if we don't need SQL.

One of our customers has been using DynamoDB for four years. They are using it to store long strings of data, particularly experiences shared by people in nature domains, such as recreation zones. 

These experiences could be related to hiking, swimming, observing nature, or anything else. People can send in short messages, and those messages are stored in DynamoDB.

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

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. 

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

We use Amazon DynamoDB to manage our localization data.

I use Amazon DynamoDB for EMR automation for EMR to run. Right? We have to configure everything on time since we have configurations on Amazon DynamoDB.

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.

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

We have enabled a state-locking mechanism in Terraform, so we store our keys in DynamoDB. 

My use case is user data management.

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.

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

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

We use the product to store historical data. 

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.

I am currently using it for proof of concept and testing out its capabilities. We are publishing the IoT data on DynamoDB. We have its latest version.

We have various use cases for the solution, including using it for IoT, messaging, etc.