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Amazon Aurora Serverless vs Heavy.AI 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

Amazon Aurora Serverless
Ranking in Relational Databases Tools
20th
Average Rating
9.0
Reviews Sentiment
8.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
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
 

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 1.2%, up from 0.3% compared to the previous year. The mindshare of Heavy.AI is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Amazon Aurora Serverless1.2%
Heavy.AI0.7%
Other98.1%
Relational Databases Tools
 

Featured Reviews

Anibal Palacios - PeerSpot reviewer
CTO at a consultancy with 11-50 employees
Database availability has improved with quick recovery and enhanced network setup
I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options Aurora is used as it is an easier solution for our requirements and offers high availability. It allows us to…
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.

Quotes from Members

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

Pros

"Amazon Aurora Serverless helps in reducing costs by allowing scalable solutions that split read and write endpoints, effectively managing database load and saving on capacity costs compared to our previous solution."
"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure, and it is highly scalable with a favorable pricing model that greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth."
"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."
"Aurora makes it easier for me to create an environment within the network, offering faster recovery and 100% availability by replicating databases across two availability zones, and its scalability features for peak workloads are very beneficial."
"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."
"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."
"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."
 

Cons

"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."
"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."
"Aurora could improve its affordability, as it is currently considered a bit expensive."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
31%
Financial Services Firm
9%
Comms Service Provider
9%
Manufacturing Company
7%
Construction Company
35%
Insurance Company
19%
Healthcare Company
9%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora Serverless?
In my experience, Aurora is a bit expensive. The costs depend on the size of the database.
What needs improvement with Amazon Aurora Serverless?
Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...
What is your primary use case for Amazon Aurora Serverless?
I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.
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.
 

Also Known As

No data available
OmniSci
 

Overview

 

Sample Customers

Information Not Available
Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: August 2026.
909,153 professionals have used our research since 2012.