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.
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.
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.
Database Architect at a transportation company with 1,001-5,000 employees
Real User
Top 5
2023-05-24T02:58:49Z
May 24, 2023
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.
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 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 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.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining...
Amazon DynamoDB is used to store data in the form of JSON. I use AWS Lambda to insert data into Amazon DynamoDB.
Since Amazon DynamoDB is a serverless NoSQL database, we are using it to develop an application that uses a NoSQL database.
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.
We use the product to store historical data.
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.
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.
It does the basic stuff. It's an efficient resource, just like a special database.
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.
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.
We use Amazon DynamoDB because we require a non-relational database for a variety of brands.
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 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 Amazon DynamoDB to manage our localization 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.
We are using Amazon DynamoDB for our company for multiple service database management.
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.