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Amazon DynamoDB stands out for its seamless scalability, allowing applications to effortlessly handle large workloads. With low-latency performance and a fully managed service provided by AWS, developers can focus on their applications without worrying about infrastructure management. DynamoDB's flexible NoSQL data model accommodates changing requirements, while its integration with other AWS services enhances the development process. The database ensures high durability and availability through data replication and offers monitoring tools for performance optimization. However, it's important to evaluate DynamoDB's suitability for specific projects based on factors like data access patterns, cost, and Integration needs. Review collected by and hosted on G2.com.
While Amazon DynamoDB offers numerous benefits, there are a few aspects that some users may find challenging. One common concern is the cost associated with DynamoDB, especially for applications with unpredictable or fluctuating workloads. Provisioned throughput and storage costs can add up quickly, making it crucial to carefully plan and monitor capacity requirements to avoid unexpected expenses. Additionally, DynamoDB has a limited set of query capabilities compared to traditional relational databases, which may require developers to think differently when designing data models and performing complex queries. Lastly, managing and optimizing performance in DynamoDB can be intricate, requiring a thorough understanding of the service and careful tuning of indexes and provisioned throughput. Review collected by and hosted on G2.com.
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