Amazon MQ vs VMware Tanzu Data Solutions comparison

Amazon Web Services (AWS) and VMware are both solutions in the Message Queue (MQ) Software category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.6, while VMware is ranked #5 with an average rating of 8.1. Amazon Web Services (AWS) holds a 3.5% mindshare in MQ, compared to VMware’s 4.5% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 89% of VMware users who would recommend it.

Amazon MQ

Read 7 Amazon MQ reviews

920 Views
635 Comparison Views

85% willing to recommend

VMware Tanzu Data Solutions

Read 83 VMware Tanzu Data Solutions reviews

1,951 Views
1,131 Comparison Views

89% willing to recommend

Amazon MQ

VMware Tanzu Data Solutions

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Executive SummaryUpdated on Jan 27, 2025

VMware Tanzu Data Solutions and Amazon MQ compete in the cloud-based data and messaging solutions category. VMware Tanzu Data Solutions is noted for stronger support and pricing satisfaction, while Amazon MQ stands out for its feature richness, often making it a worthwhile investment based on user needs.

Features: VMware Tanzu Data Solutions provides advanced data management capabilities, integration with Kubernetes, and comprehensive analytics. Amazon MQ offers native support for diverse messaging protocols, reliable service management, and ease of use for diverse applications.

Room for Improvement: VMware Tanzu Data Solutions could improve by enhancing its message brokering capabilities, providing more flexible deployment across multiple cloud environments, and reducing complexity in configuration. Amazon MQ might focus on expanding integration options outside AWS, improving support for on-premises deployment, and enhancing the scalability for larger enterprises.

Ease of Deployment and Customer Service: VMware Tanzu Data Solutions provides robust support and flexible deployment options that increase user confidence, making it adaptable across diverse environments. Amazon MQ offers easy integration with AWS services and stable performance but is less flexible outside its ecosystem, with adequate customer support.

Pricing and ROI: VMware Tanzu Data Solutions typically involves a higher initial setup cost but offers a strong ROI through comprehensive features and excellent support. Amazon MQ presents manageable setup costs and a satisfactory ROI through its efficient message brokering, particularly beneficial for organizations utilizing AWS infrastructure.

To learn more, read our detailed Amazon MQ vs. VMware Tanzu Data Solutions Report (Updated: June 2025).

Buyer's Guide

Amazon MQ vs. VMware Tanzu Data Solutions

June 2025

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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:

Categories and Ranking

Amazon MQ

Ranking in Message Queue (MQ) Software

7th

Average Rating

8.6

Reviews Sentiment

8.1

Number of Reviews

Ranking in other categories

No ranking in other categories

VMware Tanzu Data Solutions

Ranking in Message Queue (MQ) Software

5th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Database Development and Management (6th), Relational Databases Tools (12th), Data Warehouse (6th)

Mindshare comparison

As of June 2025, in the Message Queue (MQ) Software category, the mindshare of Amazon MQ is 3.5%, down from 5.3% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 4.5%, down from 11.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Message Queue (MQ) Software

Featured Reviews

AdnanKhan

Senior System Administrator at Ovrlod

Offers good web hosting capacity and security features, but price needs to be reduced

In terms of Amazon MQ's scalability and throughput capabilities, the tool is mostly accessible, stable, and competent with similar platforms. The tool's web hosting capacity and security features are good. The impact of the solution on process efficiencies depends on the clients. If the traffic is too high for a client, I suggest they go with Azure as it is more scalable and stable, while the support is good. I recommend Azure over Amazon MQ. Starting with Amazon MQ can be a bit tricky, but I know that the product is mature and the support is very good. The integration capabilities of Amazon MQ are flexible. I am not using AI with the tool. I would not recommend Amazon MQ to others. As a service provider, my company usually recommends cheaply priced and reliable solutions to our customers. Azure is one most reliable tool that comes at a good price point. Even Google Cloud is a super solution but for launching Google Cloud, support is not available, so one needs to do it with tutorials which are not completely available in YouTube. I rate the tool a seven and a half out of ten.

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Sushma Polavarapu

Sr Data Analytics Consultant at Capgemini

Create essential reporting scripts with simplicity but has some operational challenges

We mainly create functions and scripts required for reporting The product is not complex; I do not have to create stored procedures, functions, or views. It's just simple to use. There is general room for improvement. I have been using it for five years. I have faced stability issues, mainly…

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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

"We have found Amazon MQ to provide scalability, robustness, and security."

"The tool's most valuable feature is its managed service aspect. It's simple to implement and use. It requires minimal effort to maintain business operations."

"Amazon MQ is a secure solution."

"Amazon MQ is managed by AWS and is easy to use."

"Amazon MQ is important for being collaborative, allowing for centralized information."

"Amazon MQ is a very scalable solution."

"The initial Amazon MQ setup is very easy both when you do it on your own or use the self-managed instance."

"We have been able to set up a messaging system that facilitates data integration between the software modules that we sell."

"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."

"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."

"It works very well with large database queries."

"The security is great."

"Companies can scale the solution, so long as they have server room."

"Very sophisticated routing control and priority messaging capabilities"

Cons

"In community support, especially with distributed systems and integration, there is a need for better system organization."

"Amazon MQ is a good solution for small and medium-sized enterprises. It's open-source software, which means it's cheaper than its competitors."

"The solution needs improvement in the back end and security."

"Amazon MQ isn't a cheap tool."

"The product should improve its monitoring capabilities. It needs to improve the pricing also."

"Depending on your use cases, Amazon MQ can be cheap or expensive."

"If Amazon provided a templating engine, it would be great."

"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."

"Extra filters would be helpful."

"Scalability issues are present."

"If messages pile up until the space of the memory is full, then basically, the cluster goes down, and someone has to log in through the backend and purge all messages."

"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."

"This solution struggled with multi-regional synchronization."

"If you're outside IP address range, the clustering no longer has all the features which is problematic."

"Initial setup is a little complex. It took around two weeks to deploy."

Pricing and Cost Advice

"Depending on your use cases, Amazon MQ can be cheap or expensive."

"As a client or as an end user, I would say that Google Cloud Storage or Google Cloud are cheaper than Amazon MQ."

"It is an open-source product."

"The pricing is okay."

"The pricing for RabbitMQ is reasonable. It is worth the cost."

"This is an open source solution."

"The price is pretty good."

"Since the tool is an open-source product, there is no need to pay anything."

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

"We are using the open-source version of this solution."

More VMware Tanzu Data Solutions pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

16%

Manufacturing Company

Government

Financial Services Firm

28%

Computer Software Company

16%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon MQ?

The tool's most valuable feature is its managed service aspect. It's simple to implement and use. It requires minimal effort to maintain business operations.

See all answers

What needs improvement with Amazon MQ?

The message queue requires an improvement in the message template MQ link. If Amazon provided a templating engine, it would be great.

See all answers

What is your primary use case for Amazon MQ?

We are using Amazon MQ for our AI model. It's used for notifications and other services. We have an application for which Amazon MQ acts as a broker.

See all answers

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...

See all answers

What do you like most about VMware Tanzu Greenplum?

The loading speed is very good.

See all answers

What is your experience regarding pricing and costs for VMware Tanzu Greenplum?

It’s an open-source solution. There are no expenses for using it.

See all answers

Comparisons

Amazon SQS vs Amazon MQ

Compared 32% of the time

IBM MQ vs Amazon MQ

Compared 29% of the time

Red Hat AMQ vs Amazon MQ

Compared 16% of the time

Apache Kafka vs Amazon MQ

Compared 13% of the time

Oracle Event Hub Cloud Service vs Amazon MQ

Compared 9% of the time

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IBM MQ vs VMware Tanzu Data Solutions

Compared 21% of the time

Oracle Exadata vs VMware Tanzu Data Solutions

Compared 12% of the time

ActiveMQ vs VMware Tanzu Data Solutions

Compared 9% of the time

Nutanix Database Service vs VMware Tanzu Data Solutions

Compared 8% of the time

Oracle Database Appliance vs VMware Tanzu Data Solutions

Compared 8% of the time

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Product Reports

Buyer's Guide

Message Queue (MQ) Software

May 2025

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Buyer's Guide

VMware Tanzu Data Solutions

May 2025

Download VMware Tanzu Data Solutions product report

Also Known As

No data available

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

Overview

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS.

Amazon Web Services (AWS)

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.

VMware

Sample Customers

SkipTheDishes, Malmberg, Dealer.com, Bench Accounting

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

Buyer's Guide

Amazon MQ vs. VMware Tanzu Data Solutions

June 2025

Free Report: Amazon MQ vs. VMware Tanzu Data Solutions

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