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Heavy.AI vs Kinetica comparison

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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
23rd
Average Rating
8.0
Reviews Sentiment
4.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Kinetica
Ranking in Relational Databases Tools
42nd
Average Rating
7.0
Reviews Sentiment
5.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Relational Databases Tools category, the mindshare of Heavy.AI is 0.8%, up from 0.3% compared to the previous year. The mindshare of Kinetica is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Heavy.AI0.8%
Kinetica0.8%
Other98.4%
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.
SunilAgarwal - PeerSpot reviewer
Executive Vice President and Global Head of Research and Development at Bqube Global
Easy to scale and good record to report capabilities but needs better training
It's not a very popular tool. There are very limited resources available in the market in terms of implementation. They need to offer training plans for graduates so that more resources are available in the market. The support needs to be faster. The solution needs to be lighter. It's a bit too heavy.

Quotes from Members

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

Pros

"Heavy.AI has helped reduce handling times and improved agent performance significantly."
"Heavy.AI being able to do these things without having that background was powerful for me."
"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."
"The solution scales easily."
 

Cons

"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."
"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."
"Heavy.AI can be improved in agility to connect with multiple verticals, which is the first area, and the second is to analyze the business processes to prepare solutions for many verticals, as we approach this on a vertical basis."
"There are very limited resources available in the market in terms of implementation. They need to offer training plans for graduates so that more resources are available in the market."
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Top Industries

By visitors reading reviews
Construction Company
29%
Insurance Company
16%
Healthcare Company
9%
Comms Service Provider
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise5
No data available
 

Questions from the Community

What needs improvement with Heavy.AI?
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...
What is your primary use case for Heavy.AI?
I was trying to get an idea of where some of the gaps were in my business specifically, where I should target my efforts using Heavy.AI for interactive analytics or graphics. I was trying to levera...
What advice do you have for others considering Heavy.AI?
I can compare Heavy.AI to some other things, and I was getting things that felt real. I was getting very good accuracy with it. It's hard to know exactly what is and what isn't accurate, but if som...
Ask a question
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Comparisons

 

Also Known As

OmniSci
No data available
 

Overview

 

Sample Customers

Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
Gsk, Defense Innovation Unit, Citibank, PubMatic,OVO
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: September 2026.
914,351 professionals have used our research since 2012.