Features Of DynamoDB
- DynamoDB excels in scalability, automatically handling millions of requests per second and supporting read and write scalability. It partitions data across servers to ensure high throughput. The service provides low-latency access to data using SSD storage and in-memory caching, making it suitable for real-time applications.
- The database offers flexible data models. In the key-value model, data is stored and retrieved using a primary key. The document model allows nesting attributes within items and performing complex queries on the document structure.
- ACID transactions are supported, ensuring atomicity and consistency for multiple operations. Security features include encryption at rest and in transit, fine-grained access control, and auditing capabilities.
- DynamoDB’s Global Tables enable multi-region replication for high availability and disaster recovery. Integration with AWS services like Lambda, AppSync, Kinesis, and Glue streamlines application development.
- With its versatility, scalability, and managed nature, DynamoDB is widely used in web applications, gaming, mobile apps, IoT, ad tech, and more. Developers appreciate its ability to handle large workloads, provide low-latency access, and simplify database management.
How to Upload JSON File to Amazon DynamoDB using Python?
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It offers scalability, reliability, and fast access to data for applications of any scale. DynamoDB supports both document and key-value data models and handles administrative tasks, allowing developers to focus on their applications.