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Amazon RDS 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 RDS
Ranking in Relational Databases Tools
8th
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
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 RDS is 1.3%, down from 1.4% 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 RDS1.3%
Heavy.AI0.7%
Other98.0%
Relational Databases Tools
 

Featured Reviews

reviewer2592669 - PeerSpot reviewer
Director Software Engineer at a computer software company with 10,001+ employees
Positive experiences with database services, with minor room for feature enhancements observed
I don't really see any disadvantages of Amazon RDS. With Oracle, I think AWS doesn't provide the RAC stability. If you have Oracle installed in your own data centers, you can set up various clusters and we can set up the RACs, but in Amazon RDS, we cannot have the RAC feature of Oracle. They could add that feature. Amazon RDS has limitations regarding RAC. If we talk about installing Oracle in RDS, we cannot have the RAC, but if you deploy Oracle on GCP, then there is probably the RAC feature available. I observed that around two or three years back, but I'm not sure whether they have added the RAC feature in AWS. Amazon RDS is expensive compared to GCP. GCP also has the same features, and although it is quite extensive and feature-rich, I see Amazon RDS as slightly expensive compared to other clouds.
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 provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS."
"The most valuable features of the solution stem from the fact that it requires an easy setup phase, and it is also easy to use while not being too heavy on its users."
"The initial setup is straightforward, and technical support is good."
"Amazon RDS makes it easier for me to manage databases compared to traditional databases like MongoDB or local host servers."
"RDS is stable, a cloud solution is always stable, and RDS servers are solid."
"I use Amazon RDS to store and manage data securely. It helps me retrieve information and gain insights from the data that comes in for my business or specific applications."
"The solution is good for on-premise deployments."
"Amazon RDS gives us the ability to select as many tools, replicas, regions, and zones as we want."
"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

"I think Amazon RDS can be improved or enhanced if it can be implemented with other monitoring tools such as Percona."
"The solution's version upgrade and performance could be improved."
"The product must add more older versions of the database engines."
"Perhaps more platforms in terms of database engine versions would be beneficial."
"There are a few aspects of database management that have room for improvement. There are a few parameters in the solution that are a bit unclear at our end as it's not understandable."
"The solution's connectivity and response logs could be improved."
"Amazon cannot guarantee the stability of some extensions, and there is a need for different extensions to meet PCI requirements."
"With my limited experience, I have noticed that documentation management could be improved. It could be better."
"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 platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."
"On a scale from one to ten, where ten is the most expensive, and one is the cheapest, I rate the solution's pricing a seven out of ten."
"The solution’s pricing could be cheaper."
"The solution is expensive."
"Amazon RDS is not a very expensive solution."
"We are paying for a service license."
"The price could be better."
"The cost depends on the kind of instance we use."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
10%
Financial Services Firm
10%
Computer Software Company
8%
University
7%
Construction Company
35%
Insurance Company
19%
Healthcare Company
9%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise16
Large Enterprise24
No data available
 

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?
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.
 

Comparisons

 

Also Known As

RDS
OmniSci
 

Overview

 

Sample Customers

Edmodo
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.