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Heavy.AI 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:
 

Categories and Ranking

Heavy.AI
Ranking in Relational Databases Tools
24th
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
VMware Tanzu Data Solutions
Ranking in Relational Databases Tools
12th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
89
Ranking in other categories
Database Development and Management (5th), Data Warehouse (6th), Message Queue (MQ) Software (4th)
 

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Heavy.AI is 0.7%, up from 0.2% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 1.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
VMware Tanzu Data Solutions1.3%
Heavy.AI0.7%
Other98.0%
Relational Databases Tools
 

Featured Reviews

reviewer2886843 - PeerSpot reviewer
Service Cloud Gb Strat High Technology Enterprise Account Executive at a tech vendor with 10,001+ employees
Interactive analytics has revealed territory gaps and now needs simpler, more conversational guidance
I think whenever you're using these tools, you want it to be as conversational as possible, and I think more of that would be helpful for Heavy.AI. Allowing you to ask questions on how to do things inside of Heavy.AI and have it actually show you how to do it as you're doing it would be beneficial. That way you don't have to spend a lot of time trying things out through trial and error. Trial and error can be helpful because you're learning it that way, but at the same time, when you're just trying to do things quickly and you're not a professional or a user that uses it all the time, you might not have that. So you want to be able to get that information quickly and easily. Some aspects I didn't like, but some of it's just like, "of course not." I wish I could snap my fingers and have everything be perfect, but that's not realistic. The infrastructure is probably fairly expensive. I can't afford to do that. I would need my business, the company that I work for to do it for us. Otherwise I can't really do it. It's just expensive. I did feel that it was pretty easy to use, but I'm a little bit more experienced than the average person, so maybe someone less technical like my colleagues would struggle initially to figure it out. I think maybe enhancing the user-friendliness for people that are not coders, just kind of setting up the workflows and things so it's just easier would help. It seems to be more purpose-built for spatial stuff, for location plus time and things, but general purpose BI is kind of an important thing. I don't think people were actually taking advantage of that, and when they're not doing that, it creates a little bit of trouble.
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.

Quotes from Members

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

Pros

"We did see a saving of time and cost because we had a one-stop shop where we could access GPU utilization along with plotting of geographical data."
"Heavy.AI being able to do these things without having that background was powerful for me."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"Over time, the most useful feature became the ability to create durable queues, which increased reliability and also boosted performance."
"RabbitMQ is a very easy to use and reliable message broker."
"The solution has really cool features to use, its management console is excellent, and you can utilize plugins to view the performance of the whole service on one network."
"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."
"If the use case is going to be requiring a huge data transfer and big data analytics, this is a good product to use."
"Allowing for a fully asynchronous solution is crucial for this particular feature."
"The queuing system is the most valuable feature; it meets our requirements."
 

Cons

"Heavy.AI can be improved since it is a very large and comprehensive tool. For someone who does not have expertise in the tool, they will struggle somewhat, so I think it could be made easier for people."
"My experience with that was expensive to do for myself, so I had to get the company to sort of allow me to do it for Heavy.AI."
"You cannot expect a split second response."
"I want it to reorder messages in a queue, if possible."
"The implementation of an upgrade takes a long time."
"The Greenplum appliance itself has had some reliability issues, so it would be great if that could be improved in the next version."
"We had several de-clustering problems."
"We had multiple issues with stability. The product tends to be highly unstable when under heavy loads."
"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."
"Scalability issues are present."
 

Pricing and Cost Advice

Information not available
"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."
"It is the best product with best fit for price/performance customer objectives."
"We are using the open-source version of this solution."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
"are using the open-source version, which can be used free of cost."
"The price is pretty good."
"The pricing is okay."
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Top Industries

By visitors reading reviews
Construction Company
34%
Insurance Company
19%
Healthcare Company
9%
Comms Service Provider
5%
Construction Company
14%
Financial Services Firm
13%
Outsourcing Company
12%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise11
Large Enterprise52
 

Questions from the Community

What needs improvement with Heavy.AI?
Heavy.AI can be improved since it is a very large and comprehensive tool. For someone who does not have expertise in the tool, they will struggle somewhat, so I think it could be made easier for pe...
What is your primary use case for Heavy.AI?
Heavy.AI is my main tool for large-scale data plotting and analysis. We have a lot of geographical data which we process for IoT vehicle fleets and cell tower pings. For this, we analyze and plot t...
What advice do you have for others considering Heavy.AI?
My advice to others looking into using Heavy.AI is to understand data and concepts in depth before using the tool rather than using it blindly. I give Heavy.AI a rating of 9.
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?
In terms of weak points in VMware Tanzu Data Solutions, pricing is always the root cause of people not wanting to renew licenses or do any upgrades.
 

Also Known As

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

Overview

 

Sample Customers

Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: August 2026.
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