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Heavy.AI vs MariaDB 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
MariaDB
Ranking in Relational Databases Tools
9th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
62
Ranking in other categories
Open Source Databases (9th)
 

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 MariaDB is 3.3%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
MariaDB3.3%
Heavy.AI0.8%
Other95.9%
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.
AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Has supported web application data needs but requires design adjustments to manage complex queries efficiently
Complex queries in MariaDB where the query needs to parse thousands of lines or data values face some performance issues. For small and medium-size volume, it is pretty good. If it goes beyond certain data and complex queries, we see performance issues. We tried the advanced replication feature between different regions, replicating data specifically residing on MariaDB to two different regions of MariaDB data, and there were some technical snags in terms of slowness and longer processing time. Point-in-time recovery in MariaDB is good for small databases. When data volume increases beyond 5 GB or 10 GB per day or runs into double-digit GBs, we found some performance issues. For data below 10 GB, it works fine. Performance is the primary focus area for MariaDB, particularly during transactions or complex query jobs where slow performance is observed. MariaDB is scalable and easy to scale.

Quotes from Members

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

Pros

"Heavy.AI being able to do these things without having that background was powerful for me."
"Heavy.AI has helped reduce handling times and improved agent performance significantly."
"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."
"We like the easy way that we can collect data from other databases."
"What I like best about MariaDB is that it is open-source and reliable."
"The solution's high availability is its most valuable aspect."
"The solution is easy to set up and the implementation is very quick."
"The solution is very stable. It was originally built under MySQL. It has a similar level of stability."
"From a customer perspective, MariaDB is a good choice for cluster configuration. It's also easy to operate and cheap."
"One of the great features of MariaDB is its scalability. It's easy to handle even with large databases."
"Our use of MariaDB is very basic, so it's a good platform compared to many others."
 

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."
"It would be helpful if I could specify multiple drives for the database storage."
"It doesn't have the same level of maturity metrics as Postgres."
"It would be good to have tools for debugging procedures and functions."
"In future releases, mainly the addition of security features would be beneficial for MariaDB."
"One feedback I can quickly provide is the need for a robust IDE for MongoDB. The existing PHP admin console doesn't meet the client's requirements effectively."
"MariaDB can improve by adding more features. There are a lot of features, which are available in Oracle, and which are not available in MariaDB. We hope they will introduce the features soon."
"With respect to clustering and the master-slave configuration, sometimes the slave goes out of synch."
"The interface should be more user-friendly. It should be able to connect directly to the database and Interact with it without having to use commands. It needs better integration."
 

Pricing and Cost Advice

Information not available
"There is a monthly subscription to use MariaDB."
"The product is not expensive."
"We use the solution's free version."
"MariaDB is a free-to-use solution."
"This is an open source solution with no licensing fees."
"The tool is open-source."
"It's an open-source solution."
"The solution is free, but if you want the enterprise version you will need to pay for some licenses but the cost is less than other solutions, such as Oracle."
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Top Industries

By visitors reading reviews
Construction Company
29%
Insurance Company
16%
Healthcare Company
9%
Comms Service Provider
9%
Comms Service Provider
10%
Computer Software Company
9%
Financial Services Firm
9%
University
9%
 

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 Business28
Midsize Enterprise12
Large Enterprise26
 

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 is your experience regarding pricing and costs for MariaDB?
MariaDB is in the pricey range, especially for huge databases handling terabytes of data. The cost depends on the volume of data and different features enabled during configuration, such as backup ...
What needs improvement with MariaDB?
The key area where MariaDB could be improved is its native GUI tooling; while the command-line interface works perfectly fine, the built-in visual tools for administration, management, and query de...
What is your primary use case for MariaDB?
My main use case for MariaDB was web applications, and I have been using MariaDB for just about a year now as I was in the development team. A specific web application where I used MariaDB is a hea...
 

Comparisons

 

Also Known As

OmniSci
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Overview

 

Sample Customers

Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities
Find out what your peers are saying about Heavy.AI vs. MariaDB and other solutions. Updated: September 2026.
914,351 professionals have used our research since 2012.