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The information in our interactive Radar is currently only available in English. To get information in your native language, please download the PDF here.

Techniques

Event streaming as the source of truth

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 radarUnderstand more
May 2018
assess?

As event streaming platforms, such as Apache Kafka, rise in popularity, many consider them as an advanced form of message queuing, used solely to transmit events. Even when used in this way, event streaming has its benefits over traditional message queuing. However, we're more interested in how people use event streaming as the source of truth with platforms (Kafka in particular) as the primary store for data as immutable events. A service with an Event Sourcing design, for example, can use Kafka as its event store; those events are then available for other services to consume. This technique has the potential to reduce duplicating efforts between local persistence and integration.

Nov 2017
assess?

As event streaming platforms, such as Apache Kafka, rise in popularity, many consider them as an advanced form of message queuing, used solely to transmit events. Even when used in this way, event streaming has its benefits over traditional message queuing. However, we're more interested in how people use event streaming as the source of truth with platforms (Kafka in particular) as the primary store for data as immutable events. A service with an Event Sourcing design, for example, can use Kafka as its event store; those events are then available for other services to consume. This technique has the potential to reduce duplicating efforts between local persistence and integration.