Simple patterns for aggregating on DynamoDB

DynamoDB, a fast and scalable NoSQL key-value store, is widely used for real-time applications but lacks native support for aggregations, prompting developers to employ various alternative methods to perform such operations efficiently. These methods include using Amazon Redshift for batch analytics, which integrates easily with DynamoDB for large-scale analytical processing but is unsuitable for real-time analytics. Another approach involves using Apache Hive on EMR, which offers flexibility for complex queries but requires a complex setup and only supports batch processing. For real-time aggregation, AWS Lambda can be used in conjunction with DynamoDB Streams, providing low latency for user-facing applications, though it offers limited query flexibility and potential inconsistencies if Lambda fails. Tinybird offers a real-time solution with SQL-based dynamic queries and scalable API endpoints, yet it is a managed service that may not suit those preferring self-hosted options. Each method has distinct advantages and limitations, catering to different needs based on the desired flexibility, performance, and cost considerations.