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Amazon Aurora vs Heavy.AI 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

Amazon Aurora
Ranking in Relational Databases Tools
6th
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
21
Ranking in other categories
Database Management Systems (DBMS) (6th)
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
 

Mindshare comparison

As of September 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.1%, up from 2.7% compared to the previous year. The mindshare of Heavy.AI is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Amazon Aurora3.1%
Heavy.AI0.8%
Other96.1%
Relational Databases Tools
 

Featured Reviews

SivashankarRajaram - PeerSpot reviewer
Principal Engineer at a tech vendor with 10,001+ employees
Cloud database has delivered high performance and cost savings for data recovery and growth
Amazon can make better access levels and reduce costs for Amazon Aurora. A cost reduction would support multiple teams to adopt this solution since the cost is currently higher. Comparatively, we have the feature of scaling and everything we need. If you launch PostgreSQL on-premises, you need to have a separate DBA for maintenance and everything. If Amazon reduces the cost of Amazon Aurora, it would support large team adoption. A great feature to see in the next version of Amazon Aurora would be improvements in vectorization. In our PostgreSQL, we have pg_vector that helps with vectorizing many of the tables and that is used for data science projects. If Amazon improves this vectorization, it would be much more useful for data science and AI projects.
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

"Cost-wise, switching to Amazon Aurora is beneficial, saving me around $60,000 per year."
"The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."
"The most valuable features of Amazon Aurora include the global instance with the global writer endpoint, which allows failovers and instance switches without requiring changes in my code, thanks to the default global Route 53 endpoint."
"Amazon Aurora is built on community databases and AWS has added additional features to it, allowing customers to have enterprise-level features at a lower cost."
"The main benefits my company receives from Amazon Aurora are performance and cost."
"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."
"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."
"The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."
"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."
"Heavy.AI being able to do these things without having that background was powerful for me."
 

Cons

"Sometimes mistakes can be easily made, and people can waste money by mistake if they do not know what they are doing."
"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."
"Amazon can make better access levels and reduce costs for Amazon Aurora."
"There should be constant changes, which can be challenging to keep up with annually."
"Room for improvement might be in the UI, integrations, or data working capabilities for better user experience."
"Amazon Aurora should upgrade its base PostgreSQL versions more frequently and offer all PostgreSQL extensions."
"While Amazon Aurora meets your current scaling and storage needs, there is room for improvement in cryptography and scalability compared to other databases."
"AWS RDS doesn't provide an option to apply one-off patches, which can be critical for business due to unexpected product bugs."
"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."
"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."
 

Pricing and Cost Advice

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."
"The price could be lower compared to its competitors."
"I would rate the pricing a six out of ten, with ten being expensive."
"There is no need to buy a license for the product. We can pay as per the use case."
"It is an expensive solution."
"It is quite expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
University
12%
Healthcare Company
11%
Manufacturing Company
8%
Construction Company
29%
Insurance Company
16%
Healthcare Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise14
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora?
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper. However, when you manage the administration more closely, you can control costs better with Amazon Aurora. ...
What needs improvement with Amazon Aurora?
Amazon can make better access levels and reduce costs for Amazon Aurora. A cost reduction would support multiple teams to adopt this solution since the cost is currently higher. Comparatively, we h...
What is your primary use case for Amazon Aurora?
Amazon Aurora is a service provided by AWS, and we received support from AWS for our implementation. The direction we are moving toward is specifically Amazon Aurora PostgreSQL.
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...
 

Comparisons

 

Also Known As

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Overview

 

Sample Customers

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel
Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
Find out what your peers are saying about Amazon Aurora vs. Heavy.AI and other solutions. Updated: September 2026.
914,322 professionals have used our research since 2012.