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Red Hat Enterprise Linux 9 (redhat 9) | Support by SupportedImages vs Snowplow comparison

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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

Red Hat Enterprise Linux 9 ...
Ranking in AWS Marketplace
514th
Average Rating
8.6
Number of Reviews
2
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

Md Al-Amin - PeerSpot reviewer
Senior System Analyst at Thakral
Bank projects have gained strong security and reliable performance for critical applications
From my experience as a partner, the biggest advantage of Red Hat Enterprise Linux 9 (redhat 9) | Support by SupportedImages is that it is a stable and reliable product. It is a reliable OS when I am using it for applications because we run middleware software upon the OS, which means if there are problems or security holes in the OS, my applications also face those issues. In that scenario, the stability and security of Red Hat Enterprise Linux 9 (redhat 9) | Support by SupportedImages is commendable. The security policy of Red Hat Enterprise Linux 9 (redhat 9) | Support by SupportedImages is improved, but security measures must still be implemented. After we install the operating system, the customer's bank security team will harden the OS to block any potential breaches or malicious activities. To measure performance with Red Hat Enterprise Linux 9 (redhat 9) | Support by SupportedImages, I assess how much RAM and CPU the background processes are consuming. I can restrict these processes to ensure that minimal background processes run, allowing my application server software and applications to operate better with the available memory and CPU resources.
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

"Cloud integration is quite easy, and containerization support along with file system level enhancements has improved considerably."
"From my experience as a partner, the biggest advantage of Red Hat Enterprise Linux 9 (redhat 9) | Support by SupportedImages is that it is a stable and reliable product."
"Snowplow has positively impacted my organization by enabling me to see user behavior in real time."
"We have a lot more insight into our user behaviour and can now make the correct decisions."
"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."
"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."
"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 doing perfectly what it says it is doing; it meets everything it promises and develops the product all the time."
 

Cons

"Regarding the technical team of Red Hat, I find the support to be a mixed bag. In my region during office hours, calls go to the Asia Pacific support team, which is not up to the mark."
"There is room for improvement regarding response time and first-level support quality."
"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."
"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."
"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."
"Setup is challenging because getting the pipeline infrastructure right is hard."
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Top Industries

By visitors reading reviews
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Construction Company
33%
Insurance Company
27%
Outsourcing Company
9%
Comms Service Provider
7%
 

Company Size

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Midsize Enterprise
Small Business
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Questions from the Community

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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...
 

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