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Heavy.AI vs Oracle Database In-Memory 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
25th
Average Rating
8.0
Reviews Sentiment
4.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Oracle Database In-Memory
Ranking in Relational Databases Tools
17th
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
33
Ranking in other categories
Embedded Database (2nd)
 

Mindshare comparison

As of October 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 Oracle Database In-Memory is 2.3%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Oracle Database In-Memory2.3%
Heavy.AI0.8%
Other96.9%
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.
Hosney Osman - PeerSpot reviewer
Technical Solution Architect at Vodafone
Real-time analytics have transformed response times and support huge data volumes with compression
I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a very powerful infrastructure. The area where improvement is required the most in the product is the UI. The problem with the UI is that it is not complex for understanding, but it needs some training to know what each button does, how it works, and the many variables needed.

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 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."
"Combined with Exadata, it makes a solution that will deliver the best performance related to the volume of data."
"I find the performance features of Oracle Database In-Memory to be most beneficial."
"The most valuable aspects of this solution are the fast caching and improved performance to the database."
"I've been an Oracle customer with different companies, and one of the key things that stands out for Oracle is the support, because I also work with other database vendors and that's the biggest differentiator."
"Overall, it's a very good solution."
"I like Oracle because it is a backward-compatible solution."
"The application development is very user-friendly."
"We find the dashboard and the speed of data processing very valuable in Oracle Database In-Memory."
 

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."
"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."
"We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature."
"I do not see any return on investment or any cost reductions after implementing it."
"The pricing could be improved. It would ideal if it was more reasonable."
"The high cost of the product is an area of concern where improvements are required."
"They should improve the solution's scalability for large databases."
"Lacks sufficient integration with other tools."
"I would like Oracle Database In-Memory to include a data replication feature."
"Personally, this solution wouldn't be my top choice, as it makes things difficult."
 

Pricing and Cost Advice

Information not available
"The product is expensive."
"There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."
"The pricing is pretty good so I rate it an eight out of ten."
"The platform's licensing cost needs improvement."
"Database In-Memory is priced a bit higher than its competitors like Microsoft."
"Oracle Database In-Memory is expensive."
"The solution's pricing is high."
"I rate the pricing a zero out of ten because Database In-Memory is too costly."
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Top Industries

By visitors reading reviews
Construction Company
29%
Insurance Company
16%
Healthcare Company
9%
Comms Service Provider
9%
Financial Services Firm
12%
Comms Service Provider
11%
Outsourcing Company
9%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise23
 

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...
What needs improvement with Oracle Database In-Memory?
I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a ...
What is your primary use case for Oracle Database In-Memory?
The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.
 

Also Known As

OmniSci
No data available
 

Overview

 

Sample Customers

Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
Shanghai Customs
Find out what your peers are saying about Heavy.AI vs. Oracle Database In-Memory and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.