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Apache Kafka on Confluent Cloud pros and cons

Vendor: Confluent
4.3 out of 5
 

Apache Kafka on Confluent Cloud Pros review quotes

DB
Nov 29, 2023
Kafka and Confluent Cloud have proven to be cost-effective, especially when compared to other tools. In a recent BI integration program over the past year, we assessed multiple use cases spanning ship-to-shore and various Azure integrations. Our findings revealed that Confluent Kafka performed exceptionally well, standing out alongside Genesys and Azure Event Hubs. While these three are top contenders, the choice among other tools depends on the specific use case and project requirements. The customer initially used tools like SMQs, FITRA, and Stream for real-time data processing. However, after our recommendation, Confluent Cloud proved to be a superior choice, capable of replacing these three tools and simplifying their data infrastructure. This shift to a single tool, Confluent Cloud, streamlined their operations, making maintenance and management more efficient for their internal projects.
Arucy Lionel - PeerSpot reviewer
Nov 20, 2023
I use it for real-time processing workloads. So, in some instances, it's like IoT data. We need to put it into a data lake.
SP
Oct 25, 2023
In case of huge transactions on the web or mobile apps, it helps you capture real-time data and analyze it.
 

Apache Kafka on Confluent Cloud Cons review quotes

DB
Nov 29, 2023
Regarding real-time data usage, there were challenges with CDC (Change Data Capture) integrations. Specifically, with PyTRAN, we encountered difficulties. We recommended using our on-premises Kaspersky as an alternative to PyTRAN for that specific use case due to issues with CDC store configuration and log reading challenges with the iton components.
Arucy Lionel - PeerSpot reviewer
Nov 20, 2023
For the original Kafka, there is room for improvement in terms of latency spikes and resource consumption. It consumes a lot of memory.
SP
Oct 25, 2023
There could be an in-built feature for data analysis.