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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

    IBM Cloud Kubernetes Service

    Score8 out of 10
    Mid-Size Companies (51-1,000 employees)
    IBM Cloud Kubernetes Service is a managed Kubernetes offering, delivering user tools and built-in security for rapid delivery of applications that users can bind to cloud services related to IBM Watson®, IoT, DevOps and data analytics. As a certified K8s provider, IBM Cloud Kubernetes Service provides intelligent scheduling, self-healing, horizontal scaling, service discovery and load balancing, automated rollouts and rollbacks, and secret and configuration management. The Kubernetes…N/A
    Pricing
    Google AnalyticsIBM Cloud Kubernetes Service
    Editions & Modules
    Google Analytics 360
    150,000
    per year
    Google Analytics
    Free
    No answers on this topic
    Offerings
    Pricing Offerings
    Google AnalyticsIBM Cloud Kubernetes Service
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Google AnalyticsIBM Cloud Kubernetes Service
    Considered Both Products
    Google
    No answer on this topic
    IBM
    Chose IBM Cloud Kubernetes Service
    Previous container offer was being discontinued
    Incentivized
    Key User Insights
    Would buy again
    96%
    Would buy again
    101 Answers
    96%
    Would buy again
    27 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    100 Answers
    100%
    Delivers good value for the price
    25 Answers
    Happy with the feature set
    99%
    Happy with the feature set
    104 Answers
    100%
    Happy with the feature set
    28 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    77 Answers
    100%
    Lived up to sales and marketing promises
    19 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    87 Answers
    100%
    Implementation went as expected
    26 Answers
    Features
    Google AnalyticsIBM Cloud Kubernetes Service
    Web Analytics
    Comparison of Web Analytics features of Google Analytics and IBM Cloud Kubernetes Service
    Feature
    Google Analytics
    8.4
    11 Ratings
    4% above category average
    IBM Cloud Kubernetes Service
    -
    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
    Container Management
    Comparison of Container Management features of Google Analytics and IBM Cloud Kubernetes Service
    Feature
    Google Analytics
    -
    Ratings
    IBM Cloud Kubernetes Service
    8.1
    20 Ratings
    1% below category average
    Security and Isolation00 Ratings8.120 Ratings
    Container Orchestration00 Ratings8.520 Ratings
    Cluster Management00 Ratings7.820 Ratings
    Storage Management00 Ratings8.020 Ratings
    Resource Allocation and Optimization00 Ratings8.020 Ratings
    Discovery Tools00 Ratings7.819 Ratings
    Update Rollouts and Rollbacks00 Ratings7.720 Ratings
    Self-Healing and Recovery00 Ratings8.418 Ratings
    Analytics, Monitoring, and Logging00 Ratings8.220 Ratings
    Best Alternatives
    Google AnalyticsIBM Cloud Kubernetes Service
    Small Businesses
    Matomo Analytics
    Score9 out of 10
    Mirantis Kubernetes Engine
    Score8 out of 10
    Medium-sized Companies
    Lead Forensics
    Score8.9 out of 10
    Amazon Elastic Container Service (Amazon ECS)
    Score8.6 out of 10
    Enterprises
    Chartbeat
    Score9.2 out of 10
    SUSE Rancher
    Score9.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google AnalyticsIBM Cloud Kubernetes Service
    Likelihood to Recommend
    8.5
    (193 ratings)
    8.0
    (86 ratings)
    Likelihood to Renew
    9.0
    (51 ratings)
    8.9
    (16 ratings)
    Usability
    7.4
    (19 ratings)
    8.7
    (16 ratings)
    Availability
    10.0
    (4 ratings)
    9.1
    (1 ratings)
    Performance
    10.0
    (2 ratings)
    9.1
    (1 ratings)
    Support Rating
    7.0
    (42 ratings)
    7.7
    (4 ratings)
    Online Training
    10.0
    (2 ratings)
    8.7
    (15 ratings)
    Implementation Rating
    9.0
    (7 ratings)
    7.6
    (3 ratings)
    Configurability
    6.0
    (2 ratings)
    -
    (0 ratings)
    Ease of integration
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (2 ratings)
    1.0
    (1 ratings)
    Vendor post-sale
    10.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google AnalyticsIBM Cloud Kubernetes Service
    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.
    Read full review
    IBM
    IBM Cloud Kubernetes Service also stands out in environments where the workloads vary continuously and require befitting scale. The product excels particularly in microservices structures, wherein the companies would harness the capacity for container orchestration and automated scaling. Still, it may face the challenges due to monolith applications that have not been originally developed for using container technology.
    Read full review
    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
    Incentivized
    Read full review
    IBM
    • IBM has a strong focus on serverless and Kubernetes. This shows in the platform. Deploying containers to Kubernetes was very easy.
    • Deploying a Kubernetes cluster through the GUI is very easy and quick. On top of that, IBM Cloud offers a single node cluster for Free.
    • Container Registry is a very good product for managing container images. Integration with Kubernetes was seemless.
    • Portability. To transition from Google Cloud Kubernetes to IBM Cloud Kubernetes took almost no effort. We mostly use the CLI and the standard tools such as kubectl were present.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    IBM
    • I constantly get this error even when everything is well configured prefect.exceptions.AuthorizationError: [{'path': ['auth_info'], 'message': 'AuthenticationError: Forbidden', 'extensions': {'code': 'UNAUTHENTICATED'}}]
    • Then sometimes the error disapear without changine anything, happened twice to me. Should there be an issue with the authentication service? Please let's improve or let users know why this may be happening.
    • Improve the UX in the browse console when removing many images at once
    • UX on the process of installing KeyCloack operator
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    IBM
    We have our application running on a CentOS compartment on IBM Cloud Kubernetes Service. We have been utilizing the help since IBM Cloud initially dispatched. We liked the adaptability and versatility that IBM Cloud Kubernetes Service give us. Since we are tiny, the Kubernetes administration is just utilized at present inside my venture bunch.
    Incentivized
    Read full review
    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
    Read full review
    IBM
    We actually haven't had any real problems in our clusters recently and the results we have gotten from adopting IBM Cloud Kubernetes Service have been beyond even our greatest expectations. The community has helped optimize the use of the system and make it relatively simpler to use.
    Incentivized
    Read full review
    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.
    Read full review
    IBM
    IBM's cloud is almost infallible.
    Incentivized
    Read full review
    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
    Read full review
    IBM
    IBM's cloud has a site in my conuntry (MEXICO) so the network latency was almost 0
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    IBM
    The self-guided support was solid, and there are plenty of online videos to guide first time users, but I think one area of improvement is a faster way to transfer a large quantity of files from our local machine to the cloud for storage (Aspera)
    Incentivized
    Read full review
    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.
    Read full review
    IBM
    Online training is really an important resource for using these tools. IBM's help center is rich in useful information and tips. Also, external guides and tutorials are available (e.g. on youtube), but I followed only IBM ones and I had no difficulties.
    Incentivized
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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.
    Read full review
    IBM
    Ease of use. Very intuitive. We have been looking for a product that allows us to orchestrate our docker containers in a way where it allows us to effectively scale our applications to production. It also provides us a way of monitoring all our infrastructure in a very clear concise way.
    Incentivized
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    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.
    Incentivized
    Read full review
    IBM
    We mainly selected [IBM Cloud Kubernetes Service] because IBM fabric blockchain service is mostly compatible with it. To have all the infrastructure in a single cloud to get the best output we selected the [IBM Cloud Kubernetes Service].
    Incentivized
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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
    Read full review
    IBM
    IBM's CKS does not offers automatic autoscaling nor vertical scaling (automatic). Other services like Google Kubernetes Engine scales up and down very well
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    IBM
    • Increased development speed and agility allows to build features faster and more economically.
    • Improved resource utilization helps keep applications running very efficiently, which saves on cloud service expenses.
    • Scalability and resilience allows for scaling up or down based on demand, which keeps applications running efficiently and more economically.
    Incentivized
    Read full review
    ScreenShots