Enhancing DynamoDB for flexible querying and real-time analytics

DynamoDB is a distributed NoSQL that's laser-focused on solving a specific problem. For classic OLTP workloads with predictable access patterns, DynamoDB promises single-digit millisecond response times regardless of scale with essentially no operational overhead

However, if your application wants to display aggregations, allow complete filtering, or even add new access patterns, it can be tricky to handle in DynamoDB. You'll most likely need to export your DynamoDB data to a separate database more suited to those tasks.

And if you're doing this export work yourself, you're signing up for a world of additional infrastructure, brittle data pipelines, and added cost.

Join renowned DynamoDB guru Alex DeBrie and Tinybird Field CTO Ariel Pérez as they discuss how to add flexibility to your DynamoDB data.

They'll talk about:

• What DynamoDB is good at and where it struggles
• The common use cases that every DynamoDB-powered application ends up wanting
• Patterns for adding flexibility to your DynamoDB data using AWS tools
• How Tinybird can give you a fully managed, low-cost experience for enhancing DynamoDB
• How to reshape your DynamoDB data for flexible querying