Two prominent NoSQL databases offerring distinct features and advantages, are DynamoDB and CosmosDB. They are suitable for scenarios where you need low-latency, high availability, and scalability across multiple regions globally. They are well suited for varying workloads, ensuring that performance is maintained during traffic spikes. Let's some shed light on their differences, cost considerations, and strategies such asr optimizing expenses using Azure Synapse.

DynamoDB, a flagship from Amazon Web Services (AWS), is a fully managed NoSQL database that prioritizes high-performance applications with low-latency requirements. Its serverless architecture ensures automatic scaling, allowing you to concentrate on application development without concerning yourself with infrastructure management. Key Features: Fully managed and serverless architecture;Seamless scaling based on workloads; Global replication for robust availability; Choice between provisioned throughput and on-demand pricing; Supports diverse data models like key-value and document.

Azure Cosmos DB stands out with its unique approach of offering both a transactional store and an analytical store. The transactional store is optimized for operational tasks with low-latency reads and writes. Meanwhile, the analytical store empowers complex analytical queries on large datasets through familiar APIs like SQL. This dual-store strategy guarantees your application's operational and analytical requirements are met within a single platform.

CosmosDB is a popular globally distributed, multi-model database service provided by Microsoft Azure. It's designed to handle various types of data and provides multiple data models with their specific API, including document, key-value, graph, and column-family, so to persist structured, semi-structured or unstructured data with built-in geospatial indexing and querying capabilities.

Let's delve into a cost simulation for 1TB data storage, taking into account additional strategies for cost optimization:

• DynamoDB: Considering on-demand pricing and storage costs at $0.25 per GB per month, a 1TB storage would amount to around $250 per month.

• Cosmos DB: With provisioned throughput configured for 1TB storage, Cosmos DB's cost could range from $350 to $400 monthly, inclusive of storage, provisioned throughput, and supplementary charges. To minimize costs, consider integrating Azure Synapse into your strategy. Azure Synapse enables seamless integration with Synapse Link, allowing you to analyze data stored in operational databases without the need for data movement. By leveraging this capability, you can sidestep the expense associated with copying data to separate analytical databases. For enterprises in the telecom industry for example optimizing data storage costs may be vital. With a Azure Synapse's tailored storage optimization, you can implement smart tiering to optimize costs based on data access patterns. Frequently accessed data can reside in a hot tier, while less frequently used data can be moved to a cool or archive tier, reducing costs without compromising access.

The DynamoDB-Cosmos DB comparison underscores the importance of aligning database choices with your unique requirements. DynamoDB excels in scalable, serverless operational workloads, while Cosmos DB offers unparalleled versatility with its transactional and analytical stores and Synapse Link to a traditional datawarehouse.