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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Microsoft Power BI

    Score8.5 out of 10
    N/AMicrosoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.

    $168

    per year per user

    Pricing
    Google App EngineMicrosoft Power BI
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    Power BI Pro
    $14
    per month (billed annually) per user
    Power BI Premium
    $24
    per month (billed annually) per user
    Offerings
    Pricing Offerings
    Google App EngineMicrosoft Power BI
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Power BI Desktop is the data exploration and report authoring experience for Power BI, and is available as a free download.
    More Pricing Information
    Community Pulse
    Google App EngineMicrosoft Power BI
    Considered Both Products
    Google
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    92%
    Would buy again
    12 Answers
    96%
    Would buy again
    110 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    97%
    Delivers good value for the price
    103 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    97%
    Happy with the feature set
    112 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    99%
    Lived up to sales and marketing promises
    69 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    95%
    Implementation went as expected
    73 Answers
    Features
    Google App EngineMicrosoft Power BI
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    Microsoft Power BI
    -
    Ratings
    Ease of building user interfaces9.018 Ratings00 Ratings
    Scalability10.032 Ratings00 Ratings
    Platform management overhead9.032 Ratings00 Ratings
    Workflow engine capability8.024 Ratings00 Ratings
    Platform access control10.031 Ratings00 Ratings
    Services-enabled integration10.028 Ratings00 Ratings
    Development environment creation10.029 Ratings00 Ratings
    Development environment replication10.028 Ratings00 Ratings
    Issue monitoring and notification9.028 Ratings00 Ratings
    Issue recovery9.026 Ratings00 Ratings
    Upgrades and platform fixes10.029 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    8.1
    198 Ratings
    1% below category average
    Pixel Perfect reports00 Ratings8.1169 Ratings
    Customizable dashboards00 Ratings8.6197 Ratings
    Report Formatting Templates00 Ratings7.7180 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    7.9
    196 Ratings
    1% below category average
    Drill-down analysis00 Ratings8.4193 Ratings
    Formatting capabilities00 Ratings7.7193 Ratings
    Integration with R or other statistical packages00 Ratings7.4143 Ratings
    Report sharing and collaboration00 Ratings8.2191 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    7.9
    189 Ratings
    4% below category average
    Publish to Web00 Ratings8.1179 Ratings
    Publish to PDF00 Ratings7.7174 Ratings
    Report Versioning00 Ratings7.7145 Ratings
    Report Delivery Scheduling00 Ratings8.3148 Ratings
    Delivery to Remote Servers00 Ratings7.9111 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    7.7
    189 Ratings
    4% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.3183 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.1168 Ratings
    Predictive Analytics00 Ratings7.2138 Ratings
    Pattern Recognition and Data Mining00 Ratings7.339 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    8.3
    180 Ratings
    2% below category average
    Multi-User Support (named login)00 Ratings8.6169 Ratings
    Role-Based Security Model00 Ratings8.1148 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.1160 Ratings
    Report-Level Access Control00 Ratings8.149 Ratings
    Single Sign-On (SSO)00 Ratings8.5141 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    7.9
    162 Ratings
    2% above category average
    Responsive Design for Web Access00 Ratings7.6152 Ratings
    Mobile Application00 Ratings7.5133 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.8155 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google App Engine and Microsoft Power BI
    Feature
    Google App Engine
    -
    Ratings
    Microsoft Power BI
    7.6
    116 Ratings
    2% below category average
    REST API00 Ratings7.7104 Ratings
    Javascript API00 Ratings7.485 Ratings
    iFrames00 Ratings8.055 Ratings
    Java API00 Ratings6.769 Ratings
    Themeable User Interface (UI)00 Ratings7.291 Ratings
    Customizable Platform (Open Source)00 Ratings8.444 Ratings
    Best Alternatives
    Google App EngineMicrosoft Power BI
    Small Businesses
    IBM Cloud Foundry
    Score8.5 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    AWS Elastic Beanstalk
    Score8.6 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineMicrosoft Power BI
    Likelihood to Recommend
    9.0
    (36 ratings)
    8.6
    (199 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    9.6
    (3 ratings)
    Usability
    10.0
    (8 ratings)
    8.3
    (115 ratings)
    Performance
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.4
    (12 ratings)
    10.0
    (52 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    9.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.5
    (82 ratings)
    Data Sources
    -
    (0 ratings)
    9.0
    (81 ratings)
    User Testimonials
    Google App EngineMicrosoft Power BI
    Likelihood to Recommend
    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
    Microsoft
    Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
    Incentivized
    Read full review
    Pros
    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
    Microsoft
    • Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
    • Constant updates (this is both good and bad at times).
    • User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
    Incentivized
    Read full review
    Cons
    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
    Microsoft
    • It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
    • Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
    • Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
    • Would like to export each page or chart as an image.
    Incentivized
    Read full review
    Likelihood to Renew
    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
    Microsoft
    Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
    Read full review
    Usability
    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
    Microsoft
    Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
    Incentivized
    Read full review
    Support Rating
    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
    Microsoft
    It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    It was integrated with our erp easily and was accessible on cloud.
    Incentivized
    Read full review
    Alternatives Considered
    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
    Microsoft
    Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
    Incentivized
    Read full review
    Return on Investment
    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
    Microsoft
    • Power BI usage reduced the effort of analytical reports creation by about 80%
    • Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
    • AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.
    Incentivized
    Read full review
    ScreenShots

    Microsoft Power BI Screenshots

    Screenshot of Microsoft Power BI - Turns insights into impact for business usersScreenshot of Power BI integrates easily with Microsoft 365Screenshot of Microsoft Power BI - AI-Powered CapabilitiesScreenshot of Microsoft Power BI - Copilot can be used to create reportsScreenshot of Microsoft Power BI - Data HubScreenshot of Microsoft Power BI - Scales as organizational needs grow