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 #6 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 3.6% mindshare in MQ, compared to VMware’s 4.3% 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

842 Views
582 Comparison Views

85% willing to recommend

VMware Tanzu Data Solutions

Read 83 VMware Tanzu Data Solutions reviews

1,818 Views
1,015 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

6th

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 (7th)

Mindshare comparison

As of July 2025, in the Message Queue (MQ) Software category, the mindshare of Amazon MQ is 3.6%, down from 4.9% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 4.3%, down from 10.9% 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

"Amazon MQ is a secure solution."

"Amazon MQ is a very scalable solution."

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

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

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

"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 managed by AWS and is easy to use."

"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."

"The stability of this solution was very good."

"A very good, open-source platform."

"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."

"The loading speed is very good."

"The product is not complex."

"The solution improved our site reliability."

"We use VMware RabbitMQ to transfer information from one point to another."

Cons

"Amazon MQ isn't a cheap tool."

"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."

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

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

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

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

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

"This solution struggled with multi-regional synchronization."

"The solution needs improvement on performance."

"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."

"The product is pretty hard to configure."

"The product has to improve the crisis management, especially in memory issues."

"The initial deployment was a little difficult."

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

"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."

Pricing and Cost Advice

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

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

"It is an open-source platform. Although, we have to pay for additional features."

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

"The solution's pricing is cost-effective as it does not involve significant expenses. Licensing is required only for the server, while clients do not need any licensing. Therefore, it proves to be a cost-efficient option."

"This is an open source solution."

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

"It is an open-source product."

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

"It is the best product with best fit for price/performance customer objectives."

More VMware Tanzu Data Solutions pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

16%

Manufacturing Company

Government

Financial Services Firm

27%

Computer Software Company

15%

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 31% of the time

IBM MQ vs Amazon MQ

Compared 28% of the time

Red Hat AMQ vs Amazon MQ

Compared 16% of the time

Apache Kafka vs Amazon MQ

Compared 15% of the time

Oracle Event Hub Cloud Service vs Amazon MQ

Compared 9% of the time

More Amazon MQ Competitors

IBM MQ vs VMware Tanzu Data Solutions

Compared 21% of the time

Oracle Exadata vs VMware Tanzu Data Solutions

Compared 11% 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

Red Hat AMQ vs VMware Tanzu Data Solutions

Compared 7% of the time

More VMware Tanzu Data Solutions Competitors

Product Reports

Buyer's Guide

Message Queue (MQ) Software

June 2025

Download Amazon MQ product report

Buyer's Guide

VMware Tanzu Data Solutions

June 2025

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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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