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Apache Kafka on Confluent Cloud pros and cons

Vendor: Confluent
4.1 out of 5
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Pros & Cons summary

Apache Kafka on Confluent Cloud captures and analyzes real-time data effectively for web and mobile applications, proving cost-effective and high-performing. It simplifies data infrastructure, manages large volumes efficiently, and eases setup and maintenance for knowledgeable users. However, it lacks built-in data analysis, faces latency issues, consumes high memory, and has CDC integration challenges. Some premium connectors are inaccessible, and the solution is expensive.

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Prominent pros & cons

PROS

Apache Kafka on Confluent Cloud captures and analyzes real-time data effectively, facilitating large transactions on web or mobile applications.
It is cost-effective compared to other tools and integrates well with various systems for broad application, including ship-to-shore and Azure integrations.
Confluent Cloud can replace multiple tools, simplifying data infrastructure and streamlining operations for easier maintenance and management.
It includes a state-saving feature that allows users to rewind and reprocess steps if errors occur, enhancing reliability and process integrity.
Apache Kafka on Confluent Cloud simplifies setup and maintenance, making it easier to manage without expert knowledge on installation and upkeep.

CONS

There could be an in-built feature for data analysis.
There is room for improvement in terms of latency spikes and resource consumption, as it consumes a lot of memory.
There were challenges with CDC (Change Data Capture) integrations, specifically with PyTRAN.
Some premium connectors are available in Confluent, which cannot be accessed in the marketplace.
When a message comes in, and another message with the same key arrives, the first version should be deleted automatically.
 

Apache Kafka on Confluent Cloud Pros review quotes

reviewer2237604 - PeerSpot reviewer
May 24, 2024
Confluent Cloud handles data volume pretty well.
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Shubham Yadav - PeerSpot reviewer
Jul 24, 2024
Kafka provides handy properties that allow us to directly configure the data, whether to keep it or discard it after use.
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Anantharaman Ganesan - PeerSpot reviewer
Aug 1, 2024
The product's installation phase is pretty straightforward for us since we know how to use it.
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Buyer's Guide
Apache Kafka on Confluent Cloud
November 2024
Free Report: Apache Kafka on Confluent Cloud Reviews and More
Learn what your peers think about Apache Kafka on Confluent Cloud. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
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Ritik Varshney - PeerSpot reviewer
Nov 21, 2024
Apache Kafka on Confluent Cloud is more reliable and frequent to use compared to Apache Kafka.
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Tom Hug - PeerSpot reviewer
Jun 4, 2024
The state-saving feature is very much appreciated. It allows me to rewind a certain process if I see an error and then reprocess it.
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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.
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reviewer2534229 - PeerSpot reviewer
Aug 16, 2024
Overall, I think it's a good experience. Apache Kafka can be quite complex and difficult to maintain on your own, so using Apache Kafka on Confluent Cloud makes it much easier to use it without worrying about setup and maintenance.
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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.
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Apache Kafka on Confluent Cloud Cons review quotes

reviewer2237604 - PeerSpot reviewer
May 24, 2024
There are some premium connectors, for example, available in Confluent, which you cannot access in the marketplace, so there are some limitations.
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Shubham Yadav - PeerSpot reviewer
Jul 24, 2024
There's one thing that's a common use case, but I don't know why it's not covered in Kafka. When a message comes in, and another message with the same key arrives, the first version should be deleted automatically.
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Anantharaman Ganesan - PeerSpot reviewer
Aug 1, 2024
Maybe in terms of Apache Kafka's integration with other Microsoft tools, our company faced some challenges.
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Buyer's Guide
Apache Kafka on Confluent Cloud
November 2024
Free Report: Apache Kafka on Confluent Cloud Reviews and More
Learn what your peers think about Apache Kafka on Confluent Cloud. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
DOWNLOAD NOW
816,660 professionals have used our research since 2012.
Ritik Varshney - PeerSpot reviewer
Nov 21, 2024
Some areas for improvement in Apache Kafka on Confluent Cloud include issues faced during migration with Kubernetes pods.
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Tom Hug - PeerSpot reviewer
Jun 4, 2024
The administration port could be more extensive.
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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.
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reviewer2534229 - PeerSpot reviewer
Aug 16, 2024
The solution is expensive.
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SP
Oct 25, 2023
There could be an in-built feature for data analysis.
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