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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
9.0
Reviews Sentiment
5.1
Number of Reviews
1
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

Hemant Krishnakumar - PeerSpot reviewer
AI Ops Lead at a financial services firm with 501-1,000 employees
Real-time geospatial analytics has transformed how we manage large-scale fleet and IoT data
The best features Heavy.AI offers are the CPU processing, analytics, and real-time geospatial visualization, which is excellent. The real-time geospatial visualization helps my team by allowing us to create native dashboard maps instantly from large amounts of data, especially time-series data, along with multi-layer geographical data. Heavy.AI handles complex data very well. Heavy.AI has impacted my organization positively, considering that geospatial data processing is one of our biggest services. Heavy.AI has been an integral part of providing these services to our clients.
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."
"Strong integration with Greenplum Servers."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"The most valuable feature is that it's really customizable."
"After almost two years' usage in our production environment, I am impressed by how stable the platform is - even when running on Windows Server 2012."
"Large amounts of data can be moved pretty fast using the solution."
"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, and it works on common commodity hardware, so you can use any type of server without needing proprietary hardware, making it fairly flexible."
"I would recommend this product; it is great and resolves a lot of problems."
"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."
 

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."
"The product has to improve the crisis management, especially in memory issues."
"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."
"We found some issues with larger tables that have daily data appended, where after a while this seems to create lag in the query speed."
"When they are full, we might lose everything."
"RabbitMQ is clearly better supported on Linux than it is on Windows. There are idiosyncrasies in the Windows version that are not there on Linux."
"VMware RabbitMQ needs to create a new queue system."
"The availability could be better."
"Difficult to integrate with automated test and CICD Moving beyond basic configurations can be challenging Not clear how to implement durable subscriber connections Not clear how a Rabbit service restart allows subscriber auto re-connect Service cluster failover depends on shared disk infrastructure."
 

Pricing and Cost Advice

Information not available
"It is an open-source platform. Although, we have to pay for additional features."
"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."
"We are using the open-source version of this solution."
"The price is pretty good."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"This is an open source solution."
"Pricing is good compared to other products. It's fine."
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Top Industries

By visitors reading reviews
Construction Company
35%
Insurance Company
20%
Healthcare Company
9%
Comms Service Provider
5%
Construction Company
14%
Financial Services Firm
13%
Outsourcing Company
13%
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.
908,834 professionals have used our research since 2012.