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Apache Kafka on Confluent Cloud vs Cloud Security Connector for Zscaler comparison

 

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:
 

ROI

Sentiment score
4.7
Confluent Cloud's Kafka offers cost-effective scalability and reliability, enhancing data processing and schema management despite higher costs.
Sentiment score
8.8
Cloud Security Connector for Zscaler reduces costs, improves productivity, and enhances security with better detection, connectivity, and response times.
Returns depend on the application you deploy and the amount of benefits you are getting, which depends on how many applications you are deploying, what are the sorts of applications, and what are the requirements.
Chief Architect at a financial services firm with 10,001+ employees
Incident troubleshooting time reduced by 35 to 45 percent because Zscaler logs could be directly used instead of correlating multiple cloud and firewall logs.
Team Lead, Technical Content Security at Valuepoint Systems
We did not need additional staff for cloud traffic security, and audit prep became faster, which helped optimize overall cost.
Cloud Engineer at HCLtech
We have definitely seen a return on investment with Cloud Security Connector for Zscaler, saving us money by at least 20 to 25%.
Head Of The Operations at Flash.co
 

Customer Service

Sentiment score
6.8
Apache Kafka support on Confluent Cloud is praised for timely and competent assistance, with high user satisfaction ratings.
Sentiment score
9.1
Customers praise Cloud Security Connector's effective support, highlighting quick responses, helpful guidance, and prioritized assistance for configuration and deployment.
I was getting prompt responses, and it was nicely handled regarding the support.
Lead Software Engineer at a tech vendor with 10,001+ employees
I would rate them eight if 10 was the best and one was the worst.
Chief Architect at a financial services firm with 10,001+ employees
In more complex scenarios such as routing or policy tuning, support provided best practices and recommendations, which made the implementation smoother.
Team Lead, Technical Content Security at Valuepoint Systems
They were responsive whenever we had deployment or policy questions, and they helped ensure best practices.
Cloud Engineer at HCLtech
We reached out to customer support three weeks back due to an issue where Zscaler got stuck, and they identified and solved the problem within 45 minutes, which is exceptional.
Head Of The Operations at Flash.co
 

Scalability Issues

Sentiment score
5.8
Apache Kafka on Confluent Cloud is scalable and flexible, though some users report reliability issues when scaling.
Sentiment score
8.7
Cloud Security Connector for Zscaler enables effortless scaling and efficient growth management, supporting large user bases and seamless environment expansion.
According to me, it is quite scalable in terms of all the data it can handle and stream.
Lead Software Engineer at a tech vendor with 10,001+ employees
As workloads grow, routing can be updated and traffic can be distributed across multiple connectors without major architecture changes.
Team Lead, Technical Content Security at Valuepoint Systems
The centralized policy scales with it, so we did not hit bottlenecks as we expanded.
Cloud Engineer at HCLtech
Cloud Security Connector for Zscaler's scalability is definitely impressive, as it has handled growth and changes in our organization well.
Head Of The Operations at Flash.co
 

Stability Issues

Sentiment score
6.0
Apache Kafka on Confluent Cloud is stable and reliable, with occasional issues in high traffic and dashboard access.
Sentiment score
8.0
Cloud Security Connector for Zscaler offers strong stability and compliance flexibility, though initial setup and connectivity issues may arise.
There have not been any major downtime or critical issues.
Team Lead, Technical Content Security at Valuepoint Systems
We have run it in production for years and it is consistently reliable with no major downtime issues.
Cloud Engineer at HCLtech
 

Room For Improvement

Apache Kafka on Confluent Cloud needs improvements in integrations, user interface, cost, monitoring, and configuration for enhanced functionality.
Cloud Security Connector improvements focus on simplified configuration, better integration, enhanced visibility, and streamlined onboarding with automated deployment options.
If it were easier to configure clusters and had more straightforward configuration, high-level API abstraction in the APIs could improve it.
Partner at SouJava
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.
Lead Software Engineer at a tech vendor with 10,001+ employees
Observability and monitoring are areas that could be enhanced.
Chief Architect at a financial services firm with 10,001+ employees
A key learning from this was that while Cloud Security Connector for Zscaler provides strong security control, proper policy tuning and understanding application behavior is critical for smooth deployment.
Team Lead, Technical Content Security at Valuepoint Systems
If I need to suggest an improvement, it would be to simplify the steep learning curve, as it can be complex for newcomers without prior experience.
Head Of The Operations at Flash.co
Having deeper automation through auto-scaling based on workload changes could further reduce manual setup.
Cloud Engineer at HCLtech
 

Setup Cost

Enterprise users of Apache Kafka on Confluent Cloud find pricing accessible but warn of potential cost surges with added features.
Cloud Security Connector for Zscaler offers good value and competitive AWS pricing despite perceived maintenance and scalability costs.
I thought Confluent would stop me when I crossed the credits, but it did not, and then I got charged.
Lead Software Engineer at a tech vendor with 10,001+ employees
Overall, while pricing depends on the enterprise agreement, the solution delivers good value considering the visibility, control, and security it provides.
Team Lead, Technical Content Security at Valuepoint Systems
The experience with pricing, setup cost, and licensing for Cloud Security Connector for Zscaler is definitely competitive.
Head Of The Operations at Flash.co
Setup costs were mostly tied to initial deployment and policy design, but licensing was predictable based on the number of connectors and throughput.
Cloud Engineer at HCLtech
 

Valuable Features

Apache Kafka on Confluent Cloud enables scalable, efficient real-time data processing with seamless platform integration and advanced management features.
Cloud Security Connector for Zscaler streamlines security with automated detection, zero-trust policies, centralized logging, and unified policy management.
These features are important due to scalability and resiliency.
Chief Architect at a financial services firm with 10,001+ employees
The Kafka Streams API helps with real-time data transformations and aggregations.
Partner at SouJava
The best features Apache Kafka on Confluent Cloud offers would be the connection with various external systems through various languages such as Python and C#.
Lead Software Engineer at a tech vendor with 10,001+ employees
It also provides Layer 4 routed bypass for TCP, UDP, and ICMP traffic, enabling granular traffic control that streamlines our services working with Zscaler.
Head Of The Operations at Flash.co
The most valuable features of Cloud Security Connector for Zscaler include centralized visibility and control.
Team Lead, Technical Content Security at Valuepoint Systems
One of the best features Cloud Security Connector for Zscaler offers is its agentless design for cloud workloads.
Cloud Engineer at HCLtech
 

Categories and Ranking

Apache Kafka on Confluent C...
Average Rating
8.6
Reviews Sentiment
5.6
Number of Reviews
15
Ranking in other categories
Streaming Analytics (12th)
Cloud Security Connector fo...
Average Rating
8.4
Reviews Sentiment
8.4
Number of Reviews
5
Ranking in other categories
Internet Security (9th)
 

Mindshare comparison

Apache Kafka on Confluent Cloud and Cloud Security Connector for Zscaler 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 0.7%.
Cloud Security Connector for Zscaler, on the other hand, focuses on Internet Security, holds 0.7% mindshare.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Apache Kafka on Confluent Cloud0.7%
Apache Flink8.9%
Databricks8.1%
Other82.3%
Streaming Analytics
Internet Security Mindshare Distribution
ProductMindshare (%)
Cloud Security Connector for Zscaler0.7%
Cisco Umbrella26.5%
Zscaler Internet Access25.9%
Other46.900000000000006%
Internet Security
 

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.
Vibin Thomas - PeerSpot reviewer
Team Lead, Technical Content Security at Valuepoint Systems
Unified cloud policies have improved zero-trust controls and simplified workload monitoring
A challenge faced during the initial implementation involved routing and application dependency. After routing cloud workload traffic through Cloud Security Connector for Zscaler, a few applications started failing because they depended on specific external services that were getting blocked due to strict policies or SSL inspection. To resolve this, traffic was analyzed using Zscaler logs, the exact domains and services being impacted were identified, and a controlled policy exception was created while maintaining overall security. This helped strike the right balance between security and application availability, which is very important in production environments. A key learning from this was that while Cloud Security Connector for Zscaler provides strong security control, proper policy tuning and understanding application behavior is critical for smooth deployment. Cloud Security Connector for Zscaler has had a very positive impact, especially in terms of security and operational efficiency. Before implementation, cloud workloads had direct internet access through the NAT gateway, which limited visibility and control over outbound traffic. After adopting Cloud Security Connector for Zscaler, all traffic was routed through Zscaler, giving centralized visibility and full policy enforcement. One improvement observed was a significant increase in threat detection. The ability to identify and block suspicious outbound connections that were previously not visible improved the overall security posture. From an operational perspective, troubleshooting became much faster. Instead of checking multiple cloud logs, Zscaler logs could be directly used to analyze traffic behavior, which reduced incident resolution time. The dependency on traditional firewall appliances in cloud environments was reduced, which simplified the architecture and lowered operational overhead. Additionally, for compliance-driven clients in banking, it helped meet audit requirements by providing detailed logs and consistent policy enforcement across both users and workloads. Measurable improvements were observed after implementing Cloud Security Connector for Zscaler. In terms of visibility and threat detection, a 25 to 35 percent increase in identifying suspicious outbound connections was seen that were previously not visible when traffic was going through NAT. From an operational standpoint, troubleshooting time reduced by 45 to 55 percent because Zscaler logs could be directly analyzed instead of checking multiple cloud logs. Dependence on additional security appliances in the cloud was also reduced, which helped lower operational overhead and simplified the architecture. In terms of compliance, better audit readiness was achieved with centralized logging and consistent policy enforcement across workloads and users. While Cloud Security Connector for Zscaler is a strong solution, one area that could be improved, especially for teams that are new, is configuring route tables, ensuring proper traffic flow, and avoiding asymmetric routing, which can be challenging, particularly in large or multi-VPC environments. More automated deployment options or guided configurations, especially for AWS or Azure, would simplify the onboarding process. Another area for improvement is better visibility at the cloud-native level, such as tighter integration with cloud logs or more context-aware insight for workload behavior, which would make troubleshooting even faster. Once properly implemented, it works efficiently and provides strong security and visibility. In addition to deployment simplicity, improvements around policy tuning and documentation would add significant value. From a policy perspective, when Zscaler policy is extended to cloud workloads, it sometimes requires careful fine-tuning to avoid impacting application dependency. More predefined templates or workload-specific policy recommendations would help teams implement it faster with fewer disruptions. In terms of documentation, while the existing guides are helpful, more step-by-step real-world deployment examples, especially for multi-VPC or hybrid environments, would make onboarding smoother for teams. Tighter integration guidance with cloud-native tools such as AWS logging or monitoring services would further improve troubleshooting and visibility. From a support standpoint, faster access to best practice recommendations or reference architecture would help teams avoid common misconfigurations during the initial setup.
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Top Industries

By visitors reading reviews
Construction Company
16%
Financial Services Firm
13%
Manufacturing Company
8%
Comms Service Provider
8%
Construction Company
23%
Manufacturing Company
13%
Insurance Company
12%
Financial Services Firm
11%
 

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 Cloud Security Connector for Zscaler?
In terms of additional improvements, one small enhancement would be having more predefined policy templates for common cloud workload use cases, which would make initial policy tuning faster and re...
What needs improvement with Cloud Security Connector for Zscaler?
A challenge faced during the initial implementation involved routing and application dependency. After routing cloud workload traffic through Cloud Security Connector for Zscaler, a few application...
What is your primary use case for Cloud Security Connector for Zscaler?
Cloud Security Connector for Zscaler securely routes traffic from cloud workloads, such as applications running in AWS or Azure, through the Zscaler cloud for inspection and policy enforcement. In ...
 

Overview

Find out what your peers are saying about Apache Kafka on Confluent Cloud vs. Cloud Security Connector for Zscaler and other solutions. Updated: June 2025.
893,311 professionals have used our research since 2012.