We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
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The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
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Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
Kafka evolves as a platform for real time data streaming, analytics, and event processing. For enterprise customers the challenge is to let data originating on IBM z flow to Kafka. Popular options are Kafka APIs, MQ, data replication. Only data replication offers mechanisms to let data flow to Kafka without to change existing applications.
IBM supports data replication to Kafka with CDC technology. We have a significant Q Replication footprint already, running Q Replication on dozens of systems for thousands of tables. The effort of introducing another data replication technology with the desired degree of monitoring and automation just because Q Replication does not support Kafka targets would be significant and should be avoided. We consider that the Q Rep operational model would fit very well to support Kafka targets.
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