event-store-design

Designing an event store requires enforcing append-only semantics, per-stream versioning, and global position tracking. You must define stream schemas, manage snapshots, and plan subscriptions to ensure reliable, immutable, and replayable data streams.

Event store technology trade-offs involve comparing EventStoreDB, PostgreSQL, Kafka, and DynamoDB. You must evaluate each based on append-only semantics, global position tracking, and support for snapshots and subscriptions to fit your architecture scale.

Event store design supports large distributed systems by enabling immutable, replayable data streams. It provides architecture guidance and patterns for schema design, versioning, and checkpointing applicable to both small services and distributed environments.

Schema design and snapshots in an event-sourced system are handled using provided templates and patterns. You implement per-stream versioning and checkpointing to manage state efficiently and enable reliable event stream replay.

You need an event store with append-only semantics when building event-sourced systems that require reliable, immutable, and queryable persistence of domain events. This ensures data streams remain replayable and consistent across projections.