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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

    Google App Engine

    Score8.4 out of 10
    N/AGoogle App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.

    $0.05

    Per Hour Per Instance

    Pricing
    Google AnalyticsGoogle App Engine
    Editions & Modules
    Google Analytics 360
    150,000
    per year
    Google Analytics
    Free
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    Offerings
    Pricing Offerings
    Google AnalyticsGoogle App Engine
    Free Trial
    NoNo
    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 AnalyticsGoogle App Engine
    Considered Both Products
    Google
    No answer on this topic
    Google
    Chose Google App Engine
    I can't really say much here as I've not used deis.io on any actual projects.
    Incentivized
    Key User Insights
    Would buy again
    96%
    Would buy again
    101 Answers
    92%
    Would buy again
    12 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    100 Answers
    100%
    Delivers good value for the price
    13 Answers
    Happy with the feature set
    99%
    Happy with the feature set
    104 Answers
    92%
    Happy with the feature set
    12 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
    10 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    87 Answers
    92%
    Implementation went as expected
    12 Answers
    Features
    Google AnalyticsGoogle App Engine
    Web Analytics
    Comparison of Web Analytics features of Google Analytics and Google App Engine
    Feature
    Google Analytics
    8.4
    11 Ratings
    4% above category average
    Google App Engine
    -
    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 Google App Engine
    Feature
    Google Analytics
    -
    Ratings
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    Ease of building user interfaces00 Ratings9.018 Ratings
    Scalability00 Ratings10.032 Ratings
    Platform management overhead00 Ratings9.032 Ratings
    Workflow engine capability00 Ratings8.024 Ratings
    Platform access control00 Ratings10.031 Ratings
    Services-enabled integration00 Ratings10.028 Ratings
    Development environment creation00 Ratings10.029 Ratings
    Development environment replication00 Ratings10.028 Ratings
    Issue monitoring and notification00 Ratings9.028 Ratings
    Issue recovery00 Ratings9.026 Ratings
    Upgrades and platform fixes00 Ratings10.029 Ratings
    Best Alternatives
    Google AnalyticsGoogle App Engine
    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 AnalyticsGoogle App Engine
    Likelihood to Recommend
    8.5
    (193 ratings)
    9.0
    (36 ratings)
    Likelihood to Renew
    9.0
    (51 ratings)
    8.3
    (8 ratings)
    Usability
    7.4
    (19 ratings)
    10.0
    (8 ratings)
    Availability
    10.0
    (4 ratings)
    -
    (0 ratings)
    Performance
    10.0
    (2 ratings)
    10.0
    (1 ratings)
    Support Rating
    7.0
    (42 ratings)
    8.4
    (12 ratings)
    Online Training
    10.0
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.0
    (7 ratings)
    8.0
    (1 ratings)
    Configurability
    6.0
    (2 ratings)
    -
    (0 ratings)
    Ease of integration
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    10.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google AnalyticsGoogle App Engine
    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
    Google
    App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
    Incentivized
    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
    Google
    • Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
    • Flexible. We use Java for some services and Node.js for others.
    • Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.
    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
    Google
    • There is a slight learning curve to getting used to code on Google App Engine.
    • Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
    • Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
    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
    Google
    App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
    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
    Google
    I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
    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
    Google
    No answers on this topic
    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
    Google
    No answers on this topic
    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
    Google
    Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
    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
    Google
    No answers on this topic
    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
    Google
    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.
    Incentivized
    Read full review
    Google
    We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
    Incentivized
    Read full review
    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
    Google
    No answers on this topic
    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
    Google
    • Effective employee adoption through ease of use.
    • Effective integration to other java based frameworks.
    • Time to market is very quick. Build, test, deploy and use.
    • The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.
    Incentivized
    Read full review
    ScreenShots