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Apache Kafka on Confluent Cloud vs Nomad Media comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache Kafka on Confluent C...
Average Rating
8.6
Reviews Sentiment
5.6
Number of Reviews
14
Ranking in other categories
Streaming Analytics (16th)
Nomad Media
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
Enterprise Content Management (18th), Digital Asset Management (10th)
 

Mindshare comparison

Apache Kafka on Confluent Cloud and Nomad Media aren’t in the same category and serve different purposes. Apache Kafka on Confluent Cloud is designed for Streaming Analytics and holds a mindshare of 1.0%, up 0.4% compared to last year.
Nomad Media, on the other hand, focuses on Digital Asset Management, holds 2.0% mindshare.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Apache Kafka on Confluent Cloud1.0%
Databricks7.4%
Apache Flink7.0%
Other84.6%
Streaming Analytics
Digital Asset Management Mindshare Distribution
ProductMindshare (%)
Nomad Media2.0%
Adobe Workfront5.7%
Aprimo5.6%
Other86.7%
Digital Asset Management
 

Featured Reviews

AF
Lead Software Engineer at a tech vendor with 10,001+ employees
Has unified log streams from multiple systems and accelerated issue tracking through streamlined setup
I think Apache Kafka on Confluent Cloud can be improved by probably working more around Confluent or the tool. In my opinion, it should utilize the response structures in a better way or be able to detect if there is any variable or if there is any data structure that is mismatched, as it would be easier than us manually having to put in the exact name in order for it to match the response. Regarding additional improvements, I would say probably around error handling, where when we encounter errors specific to our response structures and everything, or the tables or anything of that nature, it would be better if we were prompted with better error handling mechanisms. I do not think there are any other improvements Apache Kafka on Confluent Cloud needs, aside from error handling and response structures.
reviewer2784540 - PeerSpot reviewer
Principal Application Engineer at a financial services firm with 10,001+ employees
Integrates cloud workflows with databases and has revealed areas we still want to explore
The best features Nomad offers directly integrate with AWS, which is useful for us. The database link feature helps my team because we have a lot of database linking. Nomad has positively impacted my organization as it is still in an evaluation phase, so I cannot comment on that right now. I have early signs and expectations that Nomad might improve efficiency.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Apache Kafka on Confluent Cloud is critical infrastructure for us; without it, our infrastructure costs would increase significantly, potentially amounting to hundreds of thousands of dollars each year, and its real-time capabilities accelerate speed to value and enable new use cases, providing significant business value."
"In case of huge transactions on the web or mobile apps, it helps you capture real-time data and analyze it."
"Confluent Cloud handles data volume pretty well."
"Confluent helped me to streamline all those logs into one place, and then I was consuming those logs that were produced, which made it very much easier because I know Kafka and using Confluent made it much simpler."
"It's very fast and helps us to create the project, guarantee the message delivery, and the performance."
"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."
"Kafka provides handy properties that allow us to directly configure the data, whether to keep it or discard it after use."
"In my opinion, the best feature that Nomad offers is quality, meaning its reliability and performance."
"The best features Nomad offers directly integrate with AWS, which is useful for us."
 

Cons

"The clustering is a little hard for juniors and clients. It's suitable for senior engineers, but the configuration and clustering are very hard for juniors."
"The solution is expensive."
"Maybe in terms of Apache Kafka's integration with other Microsoft tools, our company faced some challenges."
"Some areas for improvement in Apache Kafka on Confluent Cloud include issues faced during migration with Kubernetes pods."
"Although, specifically with Apache Kafka on Confluent Cloud, it was a bit more challenging to increase adoption because it's very expensive."
"There could be an in-built feature for data analysis."
"Improvement can be made by making it easier to build applications on the real-time stream, focusing on real-time pre-processing and anomaly detection."
"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."
"Right now, I have not seen a return on investment and cannot share relevant metrics with you."
 

Pricing and Cost Advice

"I consider that the product's price falls under the middle range category."
"Regarding pricing, Apache Kafka on Confluent Cloud is not a cheap tool. The right use case would justify the cost. It might make sense if you have a high volume of data that you can leverage to generate value for the business. But if you don't have those requirements, there are likely cheaper solutions you could use instead."
"I think the pricing is fair, but Confluent requires a little bit more thinking because the price can go up really quickly when it comes to premium connectors."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
15%
Financial Services Firm
13%
Manufacturing Company
9%
Comms Service Provider
8%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
12%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise8
No data available
 

Questions from the Community

What needs improvement with Apache Kafka on Confluent Cloud?
I think Apache Kafka on Confluent Cloud can be improved by probably working more around Confluent or the tool. In my opinion, it should utilize the response structures in a better way or be able to...
What is your primary use case for Apache Kafka on Confluent Cloud?
I have used Apache Kafka on Confluent Cloud for one of my projects with regard to log monitoring. My main use case for Apache Kafka on Confluent Cloud in that project was mainly streaming of the lo...
What advice do you have for others considering Apache Kafka on Confluent Cloud?
My advice to others looking into using Apache Kafka on Confluent Cloud is that it is easier and has a low learning curve. If there is any use case regarding streaming, I would suggest starting off ...
What is your experience regarding pricing and costs for Nomad Media?
My experience with pricing, setup cost, and licensing is that it is with the infrastructure team, and I asked them to set it up for us, so I do not know how much it cost.
What needs improvement with Nomad Media?
Nomad can be improved, but so far we have not seen scope for improvement, so we will continue our evaluation. I do not want to add more about the needed improvements, even if it is just a wish list...
What is your primary use case for Nomad Media?
My main use case for Nomad is thinking, and we are planning to use it to enrich distributed media content in our company.
 

Overview

Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: September 2026.
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