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USE CASES
What people build on it.
Five shapes the same pipeline takes, each with the sinks that fit.
Webhooks for your database
A row changes, an HTTP request fires. No trigger functions, no cron polling a updated_at column, no outbox table to drain.
Cache invalidation
The second-hardest problem in computer science, solved by reading the write-ahead log: every committed change reaches the cache in order, and a delete removes the key.
Search index sync
Rows in, documents out, within about a second — no nightly re-index, no dual writes from the application, no indexing pipeline to run.
Event-driven services
Every committed change becomes a message on the bus you already run, keyed by row. Services subscribe instead of calling each other.
Audit log and archive
An append-only record of what changed, when, and what it changed from — written to object storage you control.