Stream-Table Duality: Two Views of One Dataset
A table is a snapshot; a stream is the changelog that built it. The same data can be viewed either way: tables answer what is true now, while streams capture every change that led there. Treating them as separate systems is the expensive footgun.
A table is a snapshot; a stream is the changelog that built it. Stream-table duality says these are two views of the same data, not separate things. A table answers what is true now, while its CDC stream holds every change that led there. You can rebuild a table by replaying events, or emit a stream by watching the transaction log. The footgun is building parallel pipelines that duplicate storage and lose consistency because teams treat the stream and table as unrelated sources of truth.
Read the original → direct-llm://streamtableduality
- #stream processing
- #databases
- #event sourcing
- #cdc
- #architecture
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