event-store-design

An event store in PostgreSQL requires a schema enforcing stream ordering and global ordering for append-only writes. You apply optimistic concurrency and checkpointed subscriptions to maintain projection consistency and reliable replay.

Handling optimistic concurrency in an event store requires enforcing stream ordering during append operations to reject duplicate events. This ensures idempotent writes, preventing concurrency bugs and keeping historical data immutable during subscription replay.

Managing checkpointed subscriptions involves tracking the global ordering position of processed events to rebuild projections reliably. This guarantees that replay operations resume correctly without data loss or duplicate processing in your event-sourced system.

Choosing between EventStoreDB and Kafka for event sourcing depends on your query patterns and throughput needs. EventStoreDB offers targeted stream ordering, while Kafka provides high-throughput global ordering for append-only event persistence and subscription handling.

You can use DynamoDB to build an event store by structuring tables for append-only writes and stream ordering. This requires implementing optimistic concurrency and checkpointed subscriptions manually to ensure reliable replay and consistent projections.

Event store subscriptions miss events during projection replay when checkpointing and global ordering guarantees are absent. Implementing idempotent writes and checkpointed subscriptions ensures reliable replay and prevents concurrency bugs in your event-sourced system.