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Last updated : Mar 29, 2017
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Mar 2017
Assess ?

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.

Nov 2016
Assess ?

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.

Published : Nov 07, 2016

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