Amazon RDS on Outposts vs Heavy.AI comparison

Amazon Web Services (AWS) and HEAVY.AI are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #21 with an average rating of 8.5, while HEAVY.AI is ranked #24 with an average rating of 9.0. Amazon Web Services (AWS) holds a 1.0% mindshare in SQL, compared to HEAVY.AI’s 0.7% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of HEAVY.AI users who would recommend it.

Amazon RDS on Outposts

Read 5 Amazon RDS on Outposts reviews

915 Views
915 Comparison Views

100% willing to recommend

Heavy.AI

Read 2 Heavy.AI reviews

1,586 Views
476 Comparison Views

100% willing to recommend

Amazon RDS on Outposts

Heavy.AI

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon RDS on Outposts and Heavy.AI based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.

To learn more, read our detailed Relational Databases Tools Report (Updated: August 2026).

Buyer's Guide

Relational Databases Tools

August 2026

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Helped 909,153 peers since 2012

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 on Outposts

Ranking in Relational Databases Tools

21st

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

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

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 on Outposts is 1.0%, 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
Product	Mindshare (%)
Amazon RDS on Outposts	1.0%
Heavy.AI	0.7%
Other	98.3%

Relational Databases Tools

Featured Reviews

Junilson Souza

Membro Do Conselho Consultivo at a computer software company with 5,001-10,000 employees

Has reduced database management efforts and supported student learning through smooth deployment

The most important feature of Amazon RDS on Outposts for me is the self-managed aspect. The user doesn't have to worry about putting the service online, scaling the solution, and they don't have to worry about backups and other administrative tasks. The self-managed feature by AWS is very interesting. I use the automated backups in Amazon RDS on Outposts, and I recommend it. I work as a consultant for AWS products, and I have recommended Amazon RDS on Outposts and the automatic backup. Automated backups are helpful because the technical team doesn't have to worry about backups, making it much easier. It frees the technical team to deal with other kinds of questions within their projects. Amazon RDS on Outposts positively impacted my organization by being very useful to migrate, freeing the technical team to think about other matters instead of focusing just on backups and provisioning the database.

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reviewer2886843

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.

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Quotes from Members

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

Pros

"The product's initial setup phase is simple and straightforward."

"The scalability and cost-effectiveness of AWS were beneficial during spikes in database usage, as it allowed our platform to adjust and remain operational."

"The solution is easy to manage."

"The solution reduces the configuration and maintenance of the database."

"Amazon RDS on Outposts positively impacted my organization by being very useful to migrate, freeing the technical team to think about other matters instead of focusing just on backups and provisioning the database."

"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

"I find the pricing to be expensive."

"Areas that could be improved with Amazon RDS on Outposts for Brazilians include the cost because it remains a very important consideration."

"If our database is too big, we sometimes face glitches in it."

"The tool should include features to clone the RDS instances and have more central management for a lot of RDSs, not just every instance."

"I would like to see some improvements in its version upgrades because its upgrade from MySQL 5.7 to MySQL 8 was not straightforward."

"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."

"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."

Pricing and Cost Advice

"The licenses are included with the subscription my company purchases from Amazon."

"The solution can get expensive fast."

"Amazon RDS on Outposts is expensive compared to other solutions."

Information not available

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Top Industries

By visitors reading reviews

No data available

Construction Company

35%

Insurance Company

19%

Healthcare Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS on Outposts?

Regarding price, using Amazon RDS on Outposts was a little bit more expensive than using EC2.

See all answers

What needs improvement with Amazon RDS on Outposts?

Areas that could be improved with Amazon RDS on Outposts for Brazilians include the cost because it remains a very important consideration. The general self-managing service is a concern as well be...

See all answers

What is your primary use case for Amazon RDS on Outposts?

I have experience with AWS. I have about five years of experience with AWS products. The AWS products I deal with include virtual machines, EC2, database, basic storage, S3, and basic usage. I have...

See all answers

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...

See all answers

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...

See all answers

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.

See all answers

Comparisons

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Compared 15% of the time

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Compared 8% of the time

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Compared 7% of the time

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Compared 30% of the time

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Compared 25% of the time

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Compared 15% of the time

VMware Tanzu Data Solutions vs Heavy.AI

Compared 11% of the time

Security Onion vs Heavy.AI

Compared 11% of the time

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Product Reports

Buyer's Guide

Amazon RDS on Outposts

August 2026

Download Amazon RDS on Outposts product report

Buyer's Guide

Relational Databases Tools

August 2026

Download Heavy.AI product report

Also Known As

No data available

OmniSci

Overview

Amazon RDS on Outposts extends AWS cloud benefits to on-premises setups, offering seamless database management with low latency. It's tailored for users requiring consistent infrastructure technologies both on-premises and in the cloud.

Designed to provide managed database services using the familiar AWS ecosystem, Amazon RDS on Outposts supports popular databases such as MySQL, PostgreSQL, and SQL Server. It delivers the same AWS APIs, functionalities, and tools for a unified experience. This setup is ideal for latency-sensitive applications that need to remain on-site yet benefit from the scalability, reliability, and automation of managed services.

What features define Amazon RDS on Outposts?

Seamless Integration: Supports consistent AWS tools and interfaces, enabling easy management of database activities.
Automated Patch Management: Reduces downtime risks and maintenance efforts by automating software patching.
Security Compliance: Offers data encryption at rest and in transit, ensuring robust data protection.
Backup Automation: Facilitates reliable data recovery through automatic, user-defined backups.

What benefits should users consider in reviews?

Improved Latency: Enhanced application performance as databases are hosted physically closer to user premises.
Operational Efficiency: Simplified database management allows teams to focus on development rather than maintenance.
Cost Management: Pay-as-you-go pricing model reduces financial surprises, aligning expenditure with actual usage.
Enhanced Security: Bolsters compliance and data protection with managed security protocols.

Industries like finance and healthcare implement Amazon RDS on Outposts to manage data-sensitive operations efficiently. Banks use it for secure, low-latency transaction processing while healthcare providers benefit from compliant and reliable patient data management.

Amazon Web Services (AWS)

Heavy.AI is a powerful analytics platform offering real-time analysis of multi-billion-row datasets, providing businesses across industries with deep insights and accelerated decision-making capabilities.

Renowned for its speed, Heavy.AI integrates advanced GPU technology to process and visualize data rapidly. Its capability to handle big data analytics allows users to uncover patterns and trends swiftly. Designed with data scientists and analysts in mind, Heavy.AI solves complex analytical challenges through its robust computational power, improving efficiency in data-driven environments.

What are the key features of Heavy.AI?

Real-Time Analytics: Provides instantaneous data exploration and insights.
GPU-Accelerated Platform: Utilizes GPU technology to speed up computations.
Interactive Visualization: Allows users to visualize large datasets effectively.
SQL Interface: Supports SQL queries for easy data manipulation.

What benefits and ROI should users expect?

Improved Decision-Making: Accelerates data processing for quicker insights.
Cost Efficiency: Reduces the infrastructure needed for big data processing.
Scalability: Grows with business data requirements without performance drops.

Heavy.AI is widely implemented in industries like telecommunications and energy for real-time analytics of network data and resource management. Its ability to provide rapid insights into operations and customer behavior makes it a valuable tool for enhancing operational efficiency and strategic planning.

HEAVY.AI

Sample Customers

Information Not Available

Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia

Buyer's Guide

Relational Databases Tools

August 2026

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