Amazon DynamoDB Features
Amazon DynamoDB, introduced in 2012, is a fully managed NoSQL Database service provided by Amazon Web Services (AWS). It is designed for high availability, scalability, and low-latency data access, supporting both document and key-value data models.
https://en.wikipedia.org/wiki/Amazon_DynamoDB
Amazon DynamoDB offers automatic scalability, enabling it to handle millions of requests per second with no manual intervention. This ensures consistent performance for applications experiencing variable workloads.
https://aws.amazon.com/dynamodb/
The service features provisioned capacity and on-demand capacity modes, allowing users to choose between fixed throughput or automatic scaling based on application demands.
Amazon DynamoDB provides built-in High Availability (HA) with data replication across multiple //docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.DataDurability.html The [[DynamoDB Accelerator (DAX) is an in-memory cache that improves read performance by reducing response times from milliseconds to microseconds, ideal for applications with heavy read workloads.
https://aws.amazon.com/dynamodb/dax/
Amazon DynamoDB supports global tables, enabling multi-region, multi-master replication for applications requiring low-latency access and high availability across geographic regions.
https://aws.amazon.com/dynamodb/global-tables/
With its backup and restore capabilities, Amazon DynamoDB allows users to create full backups without affecting performance. Point-in-Time Recovery (PITR) ensures data restoration to any second within the last 35 days.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/BackupRestore.html
Amazon DynamoDB integrates with AWS Identity and Access Management (IAM) for fine-grained access control, ensuring secure access to data while meeting compliance standards.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/security-iam.html
The service supports streaming via DynamoDB Streams, allowing developers to capture and process real-time data changes for event-driven architectures, such as sending notifications or updating downstream systems.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html
Amazon DynamoDB integrates with AWS Lambda for serverless application development, enabling automatic triggers and backend processing in response to data changes without provisioning infrastructure.
https://aws.amazon.com/dynamodb/
Its JSON support allows Amazon DynamoDB to handle semi-structured data, making it suitable for modern applications that require flexibility in data storage and querying.
https://aws.amazon.com/dynamodb/
The Time-to-Live (TTL) feature enables automatic deletion of expired data, helping reduce storage costs and ensuring the database contains only relevant, up-to-date information.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
Amazon DynamoDB offers advanced querying capabilities, such as secondary indexes (global and local), allowing efficient retrieval of data based on attributes other than the primary key.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SecondaryIndexes.html
Amazon DynamoDB provides detailed monitoring through Amazon CloudWatch, enabling users to track metrics such as request rates, latency, and errors for performance optimization.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/MonitoringOverview.html
The service includes flexible pricing models, such as pay-per-use for on-demand capacity and predictable costs for provisioned capacity, making it cost-effective for applications of all sizes.
