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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Analytics

    Score8.3 out of 10
    N/AGoogle Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.

    $0

    per month

    Red Hat OpenShift

    Score9.1 out of 10
    N/AOpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

    $0.08

    per hour

    Pricing
    Google AnalyticsRed Hat OpenShift
    Editions & Modules
    Google Analytics 360
    150,000
    per year
    Google Analytics
    Free
    No answers on this topic
    Offerings
    Pricing Offerings
    Google AnalyticsRed Hat OpenShift
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google AnalyticsRed Hat OpenShift
    Considered Both Products
    Google
    No answer on this topic
    Red Hat
    No answer on this topic
    Key User Insights
    Would buy again
    96%
    Would buy again
    101 Answers
    97%
    Would buy again
    315 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    100 Answers
    96%
    Delivers good value for the price
    268 Answers
    Happy with the feature set
    99%
    Happy with the feature set
    104 Answers
    99%
    Happy with the feature set
    322 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    77 Answers
    97%
    Lived up to sales and marketing promises
    218 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    87 Answers
    90%
    Implementation went as expected
    255 Answers
    Features
    Google AnalyticsRed Hat OpenShift
    Web Analytics
    Comparison of Web Analytics features of Google Analytics and Red Hat OpenShift
    Feature
    Google Analytics
    8.4
    11 Ratings
    4% above category average
    Red Hat OpenShift
    -
    Ratings
    Lead Conversion Tracking8.210 Ratings00 Ratings
    Bounce Rate Measurement8.410 Ratings00 Ratings
    Device and Browser Reporting9.311 Ratings00 Ratings
    Pageview Tracking9.111 Ratings00 Ratings
    Event Tracking8.411 Ratings00 Ratings
    Reporting in real-time7.810 Ratings00 Ratings
    Referral Source Tracking8.610 Ratings00 Ratings
    Customizable Dashboards7.910 Ratings00 Ratings
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google Analytics and Red Hat OpenShift
    Feature
    Google Analytics
    -
    Ratings
    Red Hat OpenShift
    8.4
    324 Ratings
    8% above category average
    Ease of building user interfaces00 Ratings8.6275 Ratings
    Scalability00 Ratings9.3309 Ratings
    Platform management overhead00 Ratings8.3290 Ratings
    Workflow engine capability00 Ratings8.6262 Ratings
    Platform access control00 Ratings8.3291 Ratings
    Services-enabled integration00 Ratings8.5273 Ratings
    Development environment creation00 Ratings8.6283 Ratings
    Development environment replication00 Ratings8.3270 Ratings
    Issue monitoring and notification00 Ratings7.9284 Ratings
    Issue recovery00 Ratings8.1279 Ratings
    Upgrades and platform fixes00 Ratings8.5285 Ratings
    Best Alternatives
    Google AnalyticsRed Hat OpenShift
    Small Businesses
    Matomo Analytics
    Score9 out of 10
    IBM Cloud Foundry
    Score8.5 out of 10
    Medium-sized Companies
    Lead Forensics
    Score8.9 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    Chartbeat
    Score9.2 out of 10
    AWS Elastic Beanstalk
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google AnalyticsRed Hat OpenShift
    Likelihood to Recommend
    8.5
    (193 ratings)
    9.1
    (339 ratings)
    Likelihood to Renew
    9.0
    (51 ratings)
    9.3
    (26 ratings)
    Usability
    7.4
    (19 ratings)
    8.5
    (10 ratings)
    Availability
    10.0
    (4 ratings)
    5.5
    (1 ratings)
    Performance
    10.0
    (2 ratings)
    9.0
    (125 ratings)
    Support Rating
    7.0
    (42 ratings)
    7.0
    (9 ratings)
    In-Person Training
    -
    (0 ratings)
    7.0
    (1 ratings)
    Online Training
    10.0
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.0
    (7 ratings)
    7.0
    (3 ratings)
    Configurability
    6.0
    (2 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (3 ratings)
    Ease of integration
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (2 ratings)
    -
    (0 ratings)
    Professional Services
    -
    (0 ratings)
    7.3
    (1 ratings)
    Vendor post-sale
    10.0
    (1 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    9.0
    (1 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google AnalyticsRed Hat OpenShift
    Likelihood to Recommend
    Google
    Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
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    Red Hat
    Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
    Incentivized
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    Pros
    Google
    • Multiple reports to see website use and behavior
    • Allows you to customize reports with days, weeks, months, and years
    • You can build out a dashboard to easily view stats from multiple websites in one place
    • You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats
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    Red Hat
    • We had a few microservices that dealt with notifications and alerts. We used OpenShift to deploy these microservices, which handle and deliver notifications using publish-subscribe models.
    • We had to expose an API to consumers via MTLS, which was implemented using Server secret integration in OpenShift. We were then able to deploy the APIs on OpenShift with API security.
    • We integrated Splunk with OpenShift to view the logs of our applications and gain real-time insights into usage, as well as provide high availability.
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    Cons
    Google
    • Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
    • Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
    • Gotchas around filtering and data validation.
    • Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.
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    Red Hat
    • I wouldn't necessarily say there is look everyday technology transform. I can see a trend wherein Red Hat OpenShift is adopting all the new technology trends and helping their customers align with their priorities and the emerging technology trends. I wouldn't call out various scope for development every day. There is scope for development. It is all how the organizations adopt it and how they deliver it to their customers. I don't want to call out there is scope for development. It's happening. It is a never ending process.
    • At the moment, I don't have anything to call out. We are experiencing Red Hat OpenShift and we can see every day they're coming up with new features as and when they come up with new features, we want to experience it more and more. We are looking for opportunities wherein this can be leveraged to help our users and partners.
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    Likelihood to Renew
    Google
    We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
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    Red Hat
    This is the current strategy for the company, most of the products in the organisation are aligning to Openshift and various use cases it support. Also lot of applications are being developed for AI use case, openshift.AI provides opportunity to host and leverage the AI capabilities for these applications
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    Usability
    Google
    Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
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    Red Hat
    As I said before, the obserability is one of the weakest point of OpenShift and that has a lot to do with usability. The Kibana console is not fully integrated with OpenShift console and you have to switch from tab to tab to use it. Same with Prometheus, Jaeger and Grafan, it's a "simple" integration but if you want to do complex queries or dashboards you have to go to the specific console
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    Reliability and Availability
    Google
    We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
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    Red Hat
    Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
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    Performance
    Google
    This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
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    Red Hat
    Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
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    Support Rating
    Google
    The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
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    Red Hat
    Their customer support team is good and quick to respond. On a couple of occassions, they have helped us in solving some issues which we were finding a tad difficult to comprehend. On a rare occasion, the response was a bit slow but maybe it was because of the festival season. Overall a good experience on this front.
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    In-Person Training
    Google
    No answers on this topic
    Red Hat
    I was not involved in the in person training, so i
    can not answer this question, but the team in my org worked directly
    with Openshift and able to get the in person training done easily, i did not
    hear problem or complain in this space, so i hope things happen
    seamlessly without any issue.
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    Online Training
    Google
    love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
    1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
    2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
    3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
    4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
    5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
    6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.
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    Red Hat
    We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
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    Implementation Rating
    Google
    I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
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    Red Hat
    No answers on this topic
    Alternatives Considered
    Google
    I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
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    Red Hat
    The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything other than vSphere. SUSE Rancher seemed good overall, but ultimately felt closer to a DIY approach versus the comprehensive package that Red Hat OpenShift provides.
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    Contract Terms and Pricing Model
    Google
    No answers on this topic
    Red Hat
    It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
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    Scalability
    Google
    Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
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    Red Hat
    This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
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    Return on Investment
    Google
    • It has helped us gain understanding of what is going on on our website.
    • It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
    • It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
    • It has helped guide our website redesign.
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    Red Hat
    • That is a complicated question and one that's not easy for me to answer. There's a lot of factors that go into all of the stuff that we just don't have an easy way of measuring. And we realize that while we're implementing Red Hat OpenShift, we've tried to start measuring some of that stuff, but we don't have a baseline to go on. So it's hard to say. What I can tell you is general experience with the platform has been extremely positive from the development aspect. Teams have been very, very happy with the speed at which they're able to do stuff. They've been happy with that. The way it works in one environment is exactly the way it works in the next environment because we don't have configuration drift, that type of thing, and has had very positive impacts. But we didn't have a baseline to start with. So I can't talk about getting there faster or anything like that.
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    ScreenShots