Apache Kafka vs Aurea CX Messenger vs VMware Tanzu Data Solutions comparison

The compared Apache and Aurea solutions aren't in the same category. Apache is ranked #7 in SA , with an average rating of 8.7, and holds a 4.0% mindshare in the category. Aurea is ranked #4 in BAM , and holds a 8.0% mindshare. Additionally, 96% of Apache users are willing to recommend the solution, compared to 100% of Aurea users who would recommend it.

Apache Kafka

Read 90 Apache Kafka reviews

4,342 Views
1,172 Comparison Views

96% willing to recommend

Aurea CX Messenger

Read 7 Aurea CX Messenger reviews

1,070 Views
203 Comparison Views

100% willing to recommend

VMware Tanzu Data Solutions

Read 84 VMware Tanzu Data Solutions reviews

4,408 Views
1,411 Comparison Views

90% willing to recommend

Apache Kafka

Aurea CX Messenger

VMware Tanzu Data Solutions

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache Kafka, Aurea CX Messenger, and VMware Tanzu Data Solutions based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: January 2026).

Buyer's Guide

Streaming Analytics

January 2026

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Review summaries and opinions

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

Mindshare comparison

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Apache Kafka	4.0%
Apache Flink	11.3%
Databricks	9.5%
Other	75.2%

Streaming Analytics

Business Activity Monitoring Market Share Distribution
Product	Market Share (%)
Aurea CX Messenger	8.0%
IBM MQ	19.9%
TIBCO Enterprise Message Service	14.9%
Other	57.2%

Business Activity Monitoring

Data Warehouse Market Share Distribution
Product	Market Share (%)
VMware Tanzu Data Solutions	4.0%
Snowflake	10.1%
Teradata	9.4%
Other	76.5%

Data Warehouse

Featured Reviews

Bruno da Silva

Senior Manager at Timestamp, SA

Have worked closely with the team to deploy streaming and transaction pipelines in a flexible cloud environment

The interface of Apache Kafka could be significantly better. I started working with Apache Kafka from its early days, and I have seen many improvements. The back office functionality could be enhanced. Scaling up continues to be a challenge, though it is much easier now than it was in the beginning.

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Radhey Rajput

Sr. IT Analyst at NCR Corporation

Lightweight and efficient solution

It's very good and lightweight. But, it does not provide web service communication. But it is excellent for internal connections One valuable feature is the messaging broker. If there is a disruption, it restores the messages. And when the application is running, it delivers all the messages. The…

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Moisés Guillén

Has improved server deployment speed and simplified Kubernetes cluster administration

My main use case for VMware Tanzu Data Solutions is Tanzu Basic TKB version 2.4 I focus on the creation of Kubernetes clusters with VMware Tanzu Data Solutions. VMware Tanzu Data Solutions has positively impacted my organization because it is efficient, easy, fast, and aids in the creation and…

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Quotes from Members

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

Pros

"The most valuable feature is the support for a high volume of data."

"The most valuable feature is the messaging function and reliability."

"The publisher-subscriber pattern and low latency are also essential features that greatly piqued my interest."

"The most valuable features are the stream API, consumer groups, and the way that the scaling takes place."

"The processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers."

"The most valuable feature of Apache Kafka is its versatility. It can solve many use cases or can be a part of many use cases. Its fundamental value of it is in the real-time processing capability."

"Kafka's most valuable feature is its user-friendliness."

"Resiliency is great and also the fact that it handles different data formats."

More Apache Kafka pros

"ESB: Provides all kind of possibilities to resolve business needs. A lot of ready to use services plus custom Java services. I used a lot of them all."

"The solution is highly scalable, this is very important for us. It can handle a lot of messages."

"The solution offers excellent stability."

"The features that I have found most valuable are that it is very easy to develop. Most of it is graphical, but we also have the option to add any custom call that you need."

"SDM: User-friendly tool which allows for a seamless approach to performing hotfixes, if required."

"The Messenger Broker is a really good feature."

"RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the provided SDKs."

"The product is not complex."

"VMware Tanzu Data Solutions has positively impacted my organization because it is efficient, easy, fast, and aids in the creation and administration of web servers."

"The message routing is the most valuable feature. It is effective and flexible."

"Simple and straightforward admin portals: Made it easy for users and worked out excellently for our requirements"

"The solution has really cool features to use. Its management console is excellent. You can utilize plugins to view the performance of the whole service on one network."

"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."

"Large amounts of data can be moved pretty fast using the solution."

Cons

"The UI is based on command line. It would be helpful if they could come up with a simpler user interface."

"Kafka is complex and there is a little bit of a learning curve."

"The UI used to access Kafka topics can be further improved."

"Apache Kafka could improve data loss and compatibility with Spark."

"would like to see real-time event-based consumption of messages rather than the traditional way through a loop. The traditional messaging system works by listing and looping with a small wait to check to see what the messages are. A push system is where you have something that is ready to receive a message and when the message comes in and hits the partition, it goes straight to the consumer versus the consumer having to pull. I believe this consumer approach is something they are working on and may come in an upcoming release. However, that is message consumption versus message listening."

"The GUI tools for monitoring and support are still very basic and not very rich. There is no help in determining a shard key for performance."

"It's not possible to substitute IBM MQ with Apache Kafka because the JMS part is not very stable."

"Apache Kafka has performance issues that cause it to lag."

More Apache Kafka cons

"The improvement is that it should be on the cloud and use web services."

"I don't know if the last version has the cloud option, but maybe that could be good. That could be something that is included."

"It should include/add more services with the product as per market demand. It should include custom Java services developed by any organization or provide a platform where users/developers can share ideas/custom services, etc."

"Aurea CX Messenger could improve by making better use of the new APIs"

"The solution needs to improve support for new, more recent protocols on the API."

"You should not hurry with upgrades without testing the whole product completely."

"Scalability issues are present."

"If you have a user consuming a huge load of resources, it takes down the entire system."

"The debugging capabilities and testing flexibilities need to be improved."

"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."

"VMware RabbitMQ needs to create a new queue system."

"Implementation takes a long time."

"I was struggling with installing a few things. It would be good if was somewhat similar to RedHat. There should be more documentation regarding installation troubleshooting."

"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."

Pricing and Cost Advice

"We are using the free version of Apache Kafka."

"The solution is open source."

"It is approximately $600,000 USD."

"We use the free version."

"Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."

"I was using the product's free version."

"The price for the enterprise version is quite high. For on-premise, there is an annual fee, which starts at 60,000 euros, but it is usually higher than 100,000 euros. The cost for a project including the subscription is usually between 100,000 to 200,000 euros. The cost also depends on the level of support. There are two different levels of support."

"Apache Kafka is open-source and can be used free of charge."

More Apache Kafka pricing and cost advice

"You pay nothing for licensing, because the commercial model is a subscription. Other environments, such as QA and Development, are included in the subscription"

"The pricing is not so high."

"Much better than Oracle SOA Suite."

"It is an open-source product."

"Pricing is good compared to other products. It's fine."

"It’s an open-source solution."

"are using the open-source version, which can be used free of cost."

"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."

"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."

"The pricing is okay."

"The product is available for free use since it is an open-source technology."

More VMware Tanzu Data Solutions pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

11%

Manufacturing Company

Retailer

Insurance Company

13%

Financial Services Firm

10%

Manufacturing Company

10%

Media Company

Financial Services Firm

18%

Computer Software Company

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	18
Large Enterprise	49

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	30
Midsize Enterprise	10
Large Enterprise	49

Questions from the Community

What are the differences between Apache Kafka and IBM MQ?

Apache Kafka is open source and can be used for free. It has very good log management and has a way to store the data...

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What is your experience regarding pricing and costs for Apache Kafka?

Its pricing is reasonable. It's not always about cost, but about meeting specific needs.

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What needs improvement with Apache Kafka?

The long-term data storage feature in Apache Kafka depends on the setting, but I believe the maximum duration is seve...

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How does IBM MQ compare with VMware RabbitMQ?

IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, si...

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What do you like most about VMware RabbitMQ?

RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We ...

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What is your experience regarding pricing and costs for VMware RabbitMQ?

The product is free of cost.

See all answers

Comparisons

Red Hat AMQ vs Apache Kafka

Compared 16% of the time

Databricks vs Apache Kafka

Compared 12% of the time

PubSub+ Platform vs Apache Kafka

Compared 11% of the time

IBM MQ vs Apache Kafka

Compared 9% of the time

Apache Pulsar vs Apache Kafka

Compared 4% of the time

More Apache Kafka Competitors

Oracle SOA Suite vs Aurea CX Messenger

Compared 13% of the time

ActiveMQ vs Aurea CX Messenger

Compared 11% of the time

TIBCO eFTL vs Aurea CX Messenger

Compared 10% of the time

IBM MQ vs Aurea CX Messenger

Compared 8% of the time

More Aurea CX Messenger Competitors

IBM MQ vs VMware Tanzu Data Solutions

Compared 6% of the time

Oracle Exadata vs VMware Tanzu Data Solutions

Compared 6% of the time

Nutanix Database Service vs VMware Tanzu Data Solutions

Compared 5% of the time

Snowflake vs VMware Tanzu Data Solutions

Compared 5% of the time

Oracle Coherence vs VMware Tanzu Data Solutions

Compared 3% of the time

More VMware Tanzu Data Solutions Competitors

Product Reports

Buyer's Guide

Apache Kafka

February 2026

Download Apache Kafka product report

Buyer's Guide

Business Activity Monitoring

January 2026

Download Aurea CX Messenger product report

Buyer's Guide

VMware Tanzu Data Solutions

January 2026

Download VMware Tanzu Data Solutions product report

Also Known As

No data available

CX Messenger Enterprise, Aurea Sonic ESB, Aurea Sonic, Aurea Sonic MQ

Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres

Overview

Apache Kafka is an open-source distributed streaming platform that serves as a central hub for handling real-time data streams. It allows efficient publishing, subscribing, and processing of data from various sources like applications, servers, and sensors.

Kafka's core benefits include high scalability for big data pipelines, fault tolerance ensuring continuous operation despite node failures, low latency for real-time applications, and decoupling of data producers from consumers.

Key features include topics for organizing data streams, producers for publishing data, consumers for subscribing to data, brokers for managing clusters, and connectors for easy integration with various data sources.

Large organizations use Kafka for real-time analytics, log aggregation, fraud detection, IoT data processing, and facilitating communication between microservices.

Apache

CX Messenger lets your technology keep pace with your business. Aurea’s industry leading Enterprise Service Bus (ESB) lets you adapt and change your infrastructure with plug-and-play speed and ease.

Aurea

VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.

Broadcom

Sample Customers

Uber, Netflix, Activision, Spotify, Slack, Pinterest

Heathrow, HomeServe, Paypal, Freedom Mortgage

General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics. Updated: January 2026.

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