With the growth of interest in streaming data architectures and the downstream data lakes they feed, we have seen an increased reliance on "change data capture" tooling to connect transactional data stores to stream-processing systems. Bottled Water is a welcome addition to this field, converting changes in PostgreSQL's write-ahead log into Kafka events. One downside of this approach, however, is that you are tied to low-level database events rather than the higher-level business events we recommend as the foundation for an event-oriented architecture.
With the growth of interest in streaming data architectures and the downstream data lakes they feed, we have seen an increased reliance on "change data capture" tooling to connect transactional data stores to stream-processing systems. Bottled Water is a welcome addition to this field, converting changes in PostgreSQL’s write-ahead log into Kafka events. One downside of this approach, however, is that you are tied to low-level database events rather than the higher-level business events we recommend as the foundation for an event-oriented architecture.
