No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon RDS vs Heavy.AI comparison

Why PeerSpot?
 

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 RDS
Ranking in Relational Databases Tools
17th
Average Rating
8.4
Reviews Sentiment
6.7
Number of Reviews
59
Ranking in other categories
Database as a Service (DBaaS) (2nd)
Heavy.AI
Ranking in Relational Databases Tools
27th
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 November 2026, in the Relational Databases Tools category, the mindshare of Amazon RDS is 1.3%, up from 1.3% compared to the previous year. The mindshare of Heavy.AI is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Amazon RDS1.3%
Heavy.AI0.8%
Other97.9%
Relational Databases Tools
 

Featured Reviews

Donny Trijatmiko - PeerSpot reviewer
Dev Ops Engineer at MyRobin.ID
Managed databases have simplified recovery and high availability for AI recruitment workloads
The features of Amazon RDS that I have found most valuable and useful so far are its fully managed service, point-in-time restore, and other serverless features such as snapshots and backups, which have eased my job to manage databases. The automated backups of Amazon RDS help in data recovery by mitigating disaster recovery. I can revert to the nearest time if there is any data corruption or other issues, and this helps tremendously. I assess Amazon RDS's read replica feature for improving application performance as good. For standby nodes in Amazon RDS, I am using them for high failover, and so far it has been performing well. I have used Amazon RDS's Multi-AZ deployments, and it helps enhance data availability by providing high failover. It enhances high availability for my application as well.
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 RDS is good for backups, auto-scanning, and disaster recovery. It's also appropriate for the office server."
"The dashboard and performance are the most valuable features of Amazon RDS."
"Amazon RDS handles database backup mechanisms and patch management."
"The biggest advantage of Amazon RDS, which is basically an AWS service, is that you can customize it."
"Maintenance is fully automatic (backups, monitoring, and patches)."
"The time to install or set up a database environment is very fast."
"The product's installation phase is easy."
"I found it to be a stable solution."
"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."
"Heavy.AI has helped reduce handling times and improved agent performance significantly."
 

Cons

"The security features could be improved."
"The support team of Amazon RDS provides us with some links to go through whenever we face some issues, but it doesn't work for us."
"As a customer of Amazon RDS, you don't have super-user privileges, and that is the only drawback where improvements are required."
"I also don't think it's very scalable."
"The solution could improve by adding a sandbox environment and more security."
"Technical support could be better."
"The backup and restore processes take more time compared to other providers. For instance, if DigitalOcean takes two minutes to restore or create a backup, AWS will take 2 to 3 minutes."
"When we depend on the AWS technical team, we need to pay more. For tech support, they are charging about 25% of the actual bill, which is too high for me."
"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."
"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 solution's pricing needs improvement."
"The solution’s pricing could be cheaper."
"Licensing fees are paid on an annual basis."
"The solution is fairly priced."
"The price could be better."
"AWS is becoming pretty expensive because cheap or absolutely free services have become paid services. Amazon RDS is not an expensive product, but Amazon's ecosystem is becoming increasingly expensive."
"It is less expensive than SQL Server. We pay based on the usage on a monthly basis."
"The substantial initial credit and cost-effectiveness make Amazon an attractive option."
Information not available
report
Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.
921,523 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
10%
Outsourcing Company
10%
Financial Services Firm
9%
University
7%
Construction Company
27%
Insurance Company
15%
Comms Service Provider
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise16
Large Enterprise24
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What needs improvement with Amazon RDS?
I think Amazon RDS can be improved or enhanced if it can be implemented with other monitoring tools such as Percona. Currently, I am trying to add Percona monitoring for monitoring in addition to i...
What is your primary use case for Amazon RDS?
Amazon RDS is typically used for AI applications. I am developing it for an AI recruitment agent and for collecting data for HRIS, Software as a Service for a workforce as a service, and storing data.
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 th...
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, bu...
 

Comparisons

 

Also Known As

RDS
OmniSci
 

Overview

 

Sample Customers

Edmodo
Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
Find out what your peers are saying about Amazon RDS vs. Heavy.AI and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.