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Heavy.AI vs Oracle Database In-Memory 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
Oracle Database In-Memory
Ranking in Relational Databases Tools
11th
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
33
Ranking in other categories
Embedded Database (2nd)
 

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 Oracle Database In-Memory is 2.2%, 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-Memory2.2%
Heavy.AI0.7%
Other97.1%
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 being able to do these things without having that background was powerful for me."
"Database In-Memory, to me, is the most compelling reason to go to Oracle 12c, release 1."
"The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions."
"The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics."
"The most valuable feature of Database In-Memory is that it's really fast."
"The scalability is very good."
"Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot."
"It efficiently handles low-code data and supports read-and-write operations for clustering."
"Oracle is the best database, but I love open-source software."
 

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."
"They should improve the solution's scalability for large databases."
"The dashboard requires some refreshment or configuration improvements."
"The platform’s pricing needs improvement."
"It's good and it functions, but it's not the easiest add-on to Database to work with."
"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."
"Technical support is below our expectations currently. It could be improved."
"Additionally, once we put data into Oracle, it's very hard to move it out to another solution, so we have to stay with Oracle."
"The pricing could be improved. It would ideal if it was more reasonable."
 

Pricing and Cost Advice

Information not available
"The pricing is pretty good so I rate it an eight out of ten."
"It's quite costly and it comes with a fixed price."
"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."
"I rate the pricing a zero out of ten because Database In-Memory is too costly."
"The solution's pricing is high."
"Database In-Memory is priced a bit higher than its competitors like Microsoft."
"The platform's licensing cost needs improvement."
"The product is expensive."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise23
 

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.
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 Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: August 2026.
909,563 professionals have used our research since 2012.