event-store-design

To design an event store in PostgreSQL, you plan append-only storage tables that enforce per-stream ordering, track global positions, and apply optimistic concurrency controls to prevent data corruption during concurrent writes.

Handling optimistic concurrency in an event store requires versioned writes that check the current stream version before appending immutable events, ensuring safe concurrent access and preventing lost updates across your event-sourced system.

Implementing event store subscriptions and checkpoints with EventStoreDB involves setting up durable subscription streams that track global positions, enabling idempotent handling and reliable history replay for downstream projections.

Choosing between EventStoreDB and Kafka for event sourcing depends on your architecture needs; EventStoreDB offers purpose-built stream ordering and optimistic concurrency, while Kafka provides high-throughput global positioning and scalable retrieval patterns.

Yes, DynamoDB works for event-sourced systems by supporting append-only persistence and immutable ordered events, allowing you to implement scalable retrieval patterns and versioned writes for reliable event streams.

You need idempotent handling and global positioning in event store design to ensure reliable event subscriptions, prevent duplicate processing during replay, and maintain consistent checkpoints across distributed projections.