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Hyperglance: Up to 500 Resources vs Snowplow 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
Snowplow
Ranking in AWS Marketplace
21st
Average Rating
8.0
Number of Reviews
6
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.
Neha Lall - PeerSpot reviewer
Product Analytics Lead at MSE Technology
Granular behavioral tracking has transformed how we understand user journeys and optimize funnels
Snowplow could be improved in a couple of areas. The Snowplow team is readily available and proactive, always jumping on calls to make changes, especially how we track consent and non-consent data for the EU market. One area of improvement could be its vast canvas, which might feel overwhelming and confusing to people who are less technical or are not sure how to best structure their data. Although Snowplow is powerful, getting value from this granular event data does require strong SQL skills and knowledge of the underlying data model. Therefore, making the data more accessible to less technical users could enhance intuitive self-service exploration, funnel visualization, and easier debugging of tracking issues, allowing product teams to gain insights without relying heavily on analysts. Snowplow could also automate most processes and implement smarter monitoring alerts for fallback. Better documentation and easier debugging when event tracking or schemas change would help, given that managing event definitions centrally can be a hassle when there is a breaking change. Having automated systems to inform users about changes in events or properties would make things smoother across teams.

Quotes from Members

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

Pros

"Being able to see how everything connects and spot potential security issues or wasted spending can save time."
"The visual diagrams are especially helpful when troubleshooting issues because I can quickly understand how different services are connected without checking each resource manually."
"The visual mapping of cloud resources is one of the most useful features for me because it makes the overall infrastructure easier to understand."
"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."
"Snowplow has positively impacted my organization by enabling me to see user behavior in real time."
"On a broader level, Snowplow has brought a lot of credibility to the analysis and dashboards that I have created, with the biggest positive impact being that it gives us reliable, centralized behavioral data that teams can use consistently."
"Snowplow is excellent at what it is designed for: full control over data collection and processing, strong schema-driven tracking, and works really well with warehouse-first stacks like Google BigQuery."
"Snowplow has impacted my organization positively, very well. For DPG Media, it is the most important data source that we have, delivering a lot of value in the company."
"We have a lot more insight into our user behaviour and can now make the correct decisions."
"Snowplow is doing perfectly what it says it is doing; it meets everything it promises and develops the product all the time."
 

Cons

"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."
"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."
"Maintenance overhead was high, debugging and schema management were time-consuming, and there were increasing security concerns due to it no longer being actively maintained."
"Snowplow can be improved by reducing the pricing, as it is currently too high."
"The only issue that we had at a certain moment was that Snowplow was offering more services and asking us to pay more, but we did not use all these services."
"Setup is challenging because getting the pipeline infrastructure right is hard."
"One area of improvement could be its vast canvas, which might feel overwhelming and confusing to people who are less technical or are not sure how to best structure their data."
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Top Industries

By visitors reading reviews
No data available
Construction Company
33%
Insurance Company
26%
Outsourcing Company
8%
Comms Service Provider
7%
 

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 needs improvement with Snowplow?
Snowplow could be improved in a couple of areas. The Snowplow team is readily available and proactive, always jumping on calls to make changes, especially how we track consent and non-consent data ...
What is your primary use case for Snowplow?
I have been using Snowplow for the past four or five years. We migrated from Google Analytics to Snowplow, and our main use case for Snowplow is for tracking events for instrumentation. We also use...
 

Comparisons

No data available
 

Overview

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