Google Cloud Bigtable provides high throughput and data handling efficiency, making it ideal for scalable applications. In comparison, Microsoft Azure Cosmos DB offers diverse features with global distribution and multi-model support, appealing to users seeking flexibility and robust consistency options.
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 consistent and fast performance.
Its subscription cost is lower than similar databases offered by other vendors.
I would rate the pricing for this solution a four out of five.
Its subscription cost is lower than similar databases offered by other vendors.
I would rate the pricing for this solution a four out of five.
Amazon Timestream is a purpose-built time series database service for collecting, storing, and processing time-series data such as server and network logs, sensor data, and industrial telemetry data for IoT and operational applications. Amazon Timestream processes trillions of events per day at one-tenth the cost of relational databases, with up to one thousand times faster query performance than a general-purpose database.
We don't see high costs with Amazon Timestream, which may vary by company.
For 1GB of data, the solution charges $ 0.01 in the US region.
We don't see high costs with Amazon Timestream, which may vary by company.
For 1GB of data, the solution charges $ 0.01 in the US region.
A scale-out, low latency key-value database service including support for JSON and Table data types. Built-in high availability, transactions, parallel query, and more.
