No more typing reviews! Try our Samantha, our new voice AI agent.

Apache Kafka vs VMware Tanzu Data Solutions 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
6.2
Apache Kafka offers ROI through scalability, cost reduction, time savings, customization, and valuable insights, despite some challenges.
Sentiment score
7.2
Organizations praise VMware Tanzu for high performance, favorable pricing, minimal downtimes, and value-driven long-term engagement benefits.
I can say we have noticed a strong return on investment largely due to improved scalability and reduced operational friction in asynchronous workflows.
Senior Software Developer at NIT
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Customer Service

Sentiment score
5.9
Apache Kafka primarily depends on an active open-source community for support, complemented by in-house expertise and optional paid services.
Sentiment score
6.6
VMware Tanzu Data Solutions' support is highly rated, with efficient problem resolution and valuable guidance, despite occasional delays on complex issues.
Practically, the biggest support channels are its community ecosystem, documentation, GitHub discussions, and engineering forums.
Senior Software Developer at NIT
The Apache community provides support for the open-source version.
Technology Leader at eTCaaS
There is plenty of community support available online.
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
Sr. Manager at STI INFOTECH PVT LTD
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Scalability Issues

Sentiment score
7.7
Apache Kafka offers scalable solutions with Kubernetes, efficiently handling large data and users across industries, especially finance.
Sentiment score
7.3
VMware Tanzu Data Solutions offers mixed scalability, performing well for some users but facing bottlenecks and hardware challenges for others.
Customers have not faced issues with user growth or data streaming needs.
Technology Leader at eTCaaS
For traffic spikes, Apache Kafka naturally helps by buffering events, allowing consumers to catch up instead of immediately overwhelming downstream services.
Senior Software Developer at NIT
I need to enable my solution with high availability and scalability.
Data Architect at Ascendion
Most of our functions or jobs are queued due to that.
Sr Data Analytics Consultant at Capgemini
 

Stability Issues

Sentiment score
7.6
Apache Kafka is stable and reliable, efficiently handling high data volumes with minimal issues and high user satisfaction.
Sentiment score
7.0
VMware Tanzu Data Solutions is generally stable, with improvements in version 8.2, though some face issues in specific scenarios.
Testing changes in lower environments before production rollout and verifying replication health and cluster stability is essential.
Senior Software Developer at NIT
Apache Kafka is stable.
Technology Leader at eTCaaS
This feature of Apache Kafka has helped enhance our system stability when handling high volume data.
DevOps Engineer
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
Sr Data Analytics Consultant at Capgemini
 

Room For Improvement

Kafka needs improvements in duplicate management, UI, troubleshooting, cloud integration, messaging control, ZooKeeper dependency, and management tools.
VMware Tanzu Data Solutions struggles with pricing, installation, modular features, and big data integration, frustrating users.
The performance angle is critical, and while it works in milliseconds, the goal is to move towards microseconds.
Technology Leader at eTCaaS
Running and maintaining an Apache Kafka cluster at scale involves handling partitions, replications, retention policies, rebalancing, and monitoring, which requires strong expertise.
Senior Software Developer at NIT
Apache Kafka groups could introduce themes or profiles of configuration to help manage this complexity without needing expertise.
Senior Principal Architect at a computer software company with 501-1,000 employees
They are losing business.
Sr. Manager at STI INFOTECH PVT LTD
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Setup Cost

Apache Kafka is open-source and affordable, but managed services and support can incur additional costs.
VMware Tanzu Data Solutions offers an open-source platform with cost-effective licensing for added features and support options.
From a price perspective, if you are asking about Apache Kafka, I would rate it a nine.
Senior Principal Architect at a computer software company with 501-1,000 employees
The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support.
Technology Leader at eTCaaS
Its pricing is reasonable.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Valuable Features

Apache Kafka provides scalable, fault-tolerant, real-time data streaming for reliable message processing and integration across platforms with open-source flexibility.
VMware Tanzu Data Solutions offers multi-cloud management, Kubernetes integration, scalability, and reliable performance with robust data transformation and messaging features.
Apache Kafka is effective when dealing with large volumes of data flowing at high speeds, requiring real-time processing.
Apache Kafka is particularly valuable for managing high levels of transactions.
Senior Manager at Timestamp, SA
Regarding durability and reliability, messages are persisted, so temporary consumer failures do not automatically lead to data loss, which is valuable in financial workflows where losing events is unacceptable.
Senior Software Developer at NIT
The principal aspect is the creation of Kubernetes clusters.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
VMware Tanzu Data Solutions has no limitation. We can meet the maximum customer requirements.
Sr. Manager at STI INFOTECH PVT LTD
The product is not complex; I do not have to create stored procedures, functions, or views.
Sr Data Analytics Consultant at Capgemini
 

Categories and Ranking

Apache Kafka
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
92
Ranking in other categories
Streaming Analytics (3rd)
VMware Tanzu Data Solutions
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
85
Ranking in other categories
Database Development and Management (8th), Relational Databases Tools (23rd), Data Warehouse (10th), Message Queue (MQ) Software (6th)
 

Mindshare comparison

Apache Kafka and VMware Tanzu Data Solutions aren’t in the same category and serve different purposes. Apache Kafka is designed for Streaming Analytics and holds a mindshare of 3.9%, up 3.0% compared to last year.
VMware Tanzu Data Solutions, on the other hand, focuses on Data Warehouse, holds 4.9% mindshare, up 3.2% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Apache Kafka3.9%
Apache Flink8.2%
Databricks7.9%
Other80.0%
Streaming Analytics
Data Warehouse Mindshare Distribution
ProductMindshare (%)
VMware Tanzu Data Solutions4.9%
Snowflake9.3%
Teradata8.7%
Other77.1%
Data Warehouse
 

Featured Reviews

Varuns Ug - PeerSpot reviewer
Senior Software Developer at NIT
Event-driven workflows have improved payment processing and reduced latency across services
One area for improvement in Apache Kafka is operational complexity. Running and maintaining an Apache Kafka cluster at scale involves handling partitions, replications, retention policies, rebalancing, and monitoring, which requires strong expertise. Debugging and observability can be complex in large systems, as troubleshooting issues such as consumer lag, offset management problems, or uneven partition distribution can become challenging. The learning curve is relatively steep, requiring a good understanding of concepts such as partition, consumer group, offset commit, and delivery guarantees to avoid subtle production issues. One area where Apache Kafka could improve is the developer experience around debugging and tracing events end to end. In distributed systems, when an event passes through multiple topics and consumer services, troubleshooting can become time-consuming. Better built-in observability for tracing event flows across services would be very useful.
Karthik Shivaram - PeerSpot reviewer
Sr. Manager at STI INFOTECH PVT LTD
Improved multi-cloud data management has simplified operations and supports seamless Kubernetes
From my perspective, the biggest challenge with VMware right now is the pricing. To be very honest, in many cases I find myself recommending alternative solutions instead of VMware. Even if those alternatives come with a bit more complexity, customers are often more willing to accept that than the current VMware pricing model. In the past, VMware used a socket-based licensing model, which was easier for customers to understand and budget for. Now the shift to a core-based licensing model has significantly increased costs for many environments, especially for organizations running modern high-core CPUs. One positive aspect of the new model is that VMware has bundled several components together. For example, earlier when deploying vSphere, customers also had to purchase vCenter separately for management. Now multiple components are packaged into a single SKU, which simplifies some aspects of procurement and deployment. While this consolidation has its benefits, the overall licensing and commercial costs remain very high. Pricing is not the only issue. I believe Broadcom also needs to reconsider its strategy in light of the current market conditions. The approach they are taking may be strategic from a business perspective, but from what I see in the field, it is leading to lost opportunities. Many customers who previously relied on VMware are now actively exploring alternative virtualization platforms. I’m not sure where this direction will ultimately lead, but based on my experience, it is already affecting adoption. Since you’ve been trying to reach me for some time—and we also had a discussion a couple of years ago—I hope this feedback helps Broadcom understand the current sentiment in the market and potentially make adjustments. Another important concern is the way features are bundled. In many cases, customers only need basic virtualization and high availability capabilities. However, the current packaging often includes additional features that they may not need. A good analogy is that if a customer only needs an entry-level car, we shouldn’t be forced to sell them a Rolls-Royce. VMware could benefit from adopting a more modular or à la carte licensing model, where customers can choose only the components they truly require. For example, if a customer only needs core virtualization functionality, they should be able to purchase just that. This would allow partners and solution providers to better align solutions with customer requirements and position VMware more competitively in the market. Another challenge I want to highlight is the pricing model based on U.S. dollars and the way multi-year licensing is handled. In many enterprise and government projects, customers prefer to commit to three-year or five-year licenses and pay the full amount upfront. However, in approximately 20% of the deals I work on, we lose opportunities because VMware only provides dollar-based pricing for the first year. When it comes to the following years, the contract requires renewals annually rather than allowing a fixed multi-year upfront payment. This approach is particularly problematic for government and public sector customers. Many of them are ready and willing to pay for three or five years in advance, but the current VMware model does not support that structure effectively. Because pricing is tied to the U.S. dollar and subject to yearly adjustments, VMware does not lock in pricing for the full term. From a customer’s perspective, this introduces uncertainty and makes procurement more complicated. Ideally, if a price is quoted—for example, $100 per year—it should remain consistent across a multi-year agreement. Customers would be comfortable committing to a five-year term if the price were fixed and predictable. Unfortunately, that flexibility is currently not available across VMware products, whether it is vSphere, VMware Tanzu solutions, or other offerings. For large enterprise environments, one-year commitments are usually not practical. Many enterprise customers prefer longer-term agreements for budgeting and procurement reasons. Even when they are willing to accept the higher cost associated with the core-based licensing model, the lack of a clear multi-year upfront option often becomes a deal-breaker.
report
Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
900,747 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
9%
Outsourcing Company
8%
Financial Services Firm
15%
Construction Company
12%
Outsourcing Company
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise20
Large Enterprise51
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise11
Large Enterprise50
 

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 used for analytics. Apache Kafka is very good if you have a high number of user...
What is your experience regarding pricing and costs for Apache Kafka?
From the AWS perspective, the price is on the higher side. However, if you go for Apache Kafka, it is low. From a price perspective, if you are asking about Apache Kafka, I would rate it a nine.
What needs improvement with Apache Kafka?
Apache Kafka is abundant with features which only an expert-level person will be able to manage due to the high volume and high concurrent expectations. Apache Kafka groups could introduce themes o...
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, simple to configure and integrates well with our enterprise ecosystem and protocol...
What is your experience regarding pricing and costs for VMware Tanzu GemFire?
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
What needs improvement with VMware Tanzu GemFire?
From my perspective, the biggest challenge with VMware right now is the pricing. To be very honest, in many cases I find myself recommending alternative solutions instead of VMware. Even if those a...
 

Also Known As

No data available
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

Overview

 

Sample Customers

Uber, Netflix, Activision, Spotify, Slack, Pinterest
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: June 2026.
900,747 professionals have used our research since 2012.