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Hyperglance: Up to 500 Resources vs Voyage AI comparison

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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

Hyperglance: Up to 500 Reso...
Ranking in AWS Marketplace
496th
Average Rating
8.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Voyage AI
Ranking in AWS Marketplace
40th
Average Rating
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Amit-Chauhan - PeerSpot reviewer
Head of Operations at a tech services company with 11-50 employees
Centralized cloud views have improved visibility and simplify tracking of connected resources
I think the dashboard could be a little more user-friendly, especially for people who are using the platform for the first time. Sometimes, finding specific information in a large cloud setup can take extra time. It would also be good to have more customization options for dashboards and reports. In the next release, I would like to see better cost alerts, more detailed usage reports, and easier ways to identify unused resources. These improvements would make Hyperglance more convenient for daily use and help teams manage cloud resources more efficiently.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Automation workflows have transformed resume screening and document chat into accurate, low-cost flows
Improvement can be made in the documentation aspect, which definitely needs to be updated or enhanced. I felt this need while using Voyage AI. I recognize that it is still growing, which is acceptable for a user like me, but enhancing documentation would greatly help developers or technical personnel. One more improvement could be native integration. For example, when using Voyage AI through make.com, which is an automation platform I regularly use, integration is possible only through APIs. This requires more time for setup and handling configurations. If Voyage AI had a native integration with make.com, similar to how OpenAI's ChatGPT operates, it would streamline the onboarding process very effectively. Other improvements needed for Voyage AI include enhanced documentation, native integration, and potentially video tutorials for each model or feature that they add. Short videos could significantly aid developers who might be lost or unfamiliar with updates since staying up to speed can be challenging.

Quotes from Members

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

Pros

"It significantly cut down our onboarding time for new client accounts, and it helped us catch idle resources that were running up client costs unnecessarily, making our FinOps reporting much more accurate."
"The visual mapping of cloud resources is one of the most useful features for me because it makes the overall infrastructure easier to understand."
"The visual diagrams are especially helpful when troubleshooting issues because I can quickly understand how different services are connected without checking each resource manually."
"Being able to see how everything connects and spot potential security issues or wasted spending can save time."
"The best feature Voyage AI offers is its text embedding, whose quality is very good and crucial, and I think Voyage AI has excelled in text understanding and contextual comprehension."
"Voyage AI has improved time, manual efforts, and employee satisfaction, and for this type of use case, Voyage AI is the best option available because the time it takes for answering questions reduces, employees no longer need to raise many tickets for simple queries, and it provides an answer in a single question and a single click without waiting for HR to respond."
"I have significantly increased my outputs around 60-70%, making them much more accurate than before, and the context and semantic meaning have increased substantially."
 

Cons

"I would like to see more detailed filtering options for large AWS environments, especially when searching for specific EC2 instances, security groups, or network dependencies."
"The UI can still feel a bit cluttered and sluggish when client accounts approach the resource limit, so better default filtering out of the box would help."
"It can be on the higher side for smaller teams, and it can sometimes overlap with existing tech stack, so be mindful of those things when evaluating budget."
"I think the dashboard could be a little more user-friendly, especially for people who are using the platform for the first time."
"Improvement can be made in the documentation aspect, which definitely needs to be updated or enhanced."
"I have not been frustrated with Voyage AI, but some enterprises will not share their data because they keep their data within their own infrastructure."
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Top Industries

By visitors reading reviews
No data available
Construction Company
44%
Comms Service Provider
10%
Outsourcing Company
8%
University
6%
 

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 Hyperglance: Up to 500 Resources?
The Up to 500 Resources tier runs around $900 a month, which might feel a bit steep for smaller teams. However, since they price based on your resource count rather than taking a percentage of your...
What needs improvement with Hyperglance: Up to 500 Resources?
The UI can still feel a bit cluttered and sluggish when client accounts approach the resource limit, so better default filtering out of the box would help. Custom reporting rules could also be more...
What is your primary use case for Hyperglance: Up to 500 Resources?
We use it primarily for mapping out new client cloud architectures during onboarding and tracking untagged, unused, or oversized AWS/Azure resources to control their monthly cloud spend.
What is your experience regarding pricing and costs for Voyage AI?
My experience with costing information, overall it is good as for as now. We got free tokens around 200 million at start. we paid approximately $0.12 per million tokens depending on the model. It i...
What needs improvement with Voyage AI?
Voyage AI's SDK support is limited to Python and JavaScript, so teams using other languages need custom wrappers to integrate it. Rate limiting also feels outdated, requiring manual static wait...
What is your primary use case for Voyage AI?
My main use case for Voyage AI is converting text into embeddings so that it can be searched efficiently. I can provide a specific example of how I use Voyage AI for text-to-embedding through Retri...
 

Comparisons

No data available
 

Overview

Find out what your peers are saying about Hyperglance: Up to 500 Resources vs. Voyage AI and other solutions. Updated: October 2026.
921,523 professionals have used our research since 2012.