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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 BI (MSBI)

    Score8.5 out of 10
    N/AMicrosoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.

    $14

    per month per user

    Pricing
    Google App EngineMicrosoft BI (MSBI)
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    Power BI Pro
    $14
    per month per user
    Power BI Premium
    $24
    per month per user
    Offerings
    Pricing Offerings
    Google App EngineMicrosoft BI (MSBI)
    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 App EngineMicrosoft BI (MSBI)
    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
    100%
    Would buy again
    15 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    100%
    Delivers good value for the price
    15 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    15 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    100%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    11 Answers
    Features
    Google App EngineMicrosoft BI (MSBI)
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    Microsoft BI (MSBI)
    -
    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 BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    9.0
    53 Ratings
    10% above category average
    Pixel Perfect reports00 Ratings8.546 Ratings
    Customizable dashboards00 Ratings9.653 Ratings
    Report Formatting Templates00 Ratings8.951 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    8.5
    53 Ratings
    6% above category average
    Drill-down analysis00 Ratings8.548 Ratings
    Formatting capabilities00 Ratings8.253 Ratings
    Integration with R or other statistical packages00 Ratings8.342 Ratings
    Report sharing and collaboration00 Ratings8.953 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    8.5
    52 Ratings
    3% above category average
    Publish to Web00 Ratings9.348 Ratings
    Publish to PDF00 Ratings9.148 Ratings
    Report Versioning00 Ratings7.444 Ratings
    Report Delivery Scheduling00 Ratings8.547 Ratings
    Delivery to Remote Servers00 Ratings8.426 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    8.7
    52 Ratings
    9% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.651 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.748 Ratings
    Predictive Analytics00 Ratings7.745 Ratings
    Pattern Recognition and Data Mining00 Ratings8.76 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    9.3
    53 Ratings
    9% above category average
    Multi-User Support (named login)00 Ratings9.449 Ratings
    Role-Based Security Model00 Ratings9.347 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.949 Ratings
    Report-Level Access Control00 Ratings9.36 Ratings
    Single Sign-On (SSO)00 Ratings9.431 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    8.0
    42 Ratings
    3% above category average
    Responsive Design for Web Access00 Ratings8.239 Ratings
    Mobile Application00 Ratings8.030 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.839 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google App Engine and Microsoft BI (MSBI)
    Feature
    Google App Engine
    -
    Ratings
    Microsoft BI (MSBI)
    8.5
    24 Ratings
    9% above category average
    REST API00 Ratings9.221 Ratings
    Javascript API00 Ratings8.821 Ratings
    iFrames00 Ratings8.820 Ratings
    Java API00 Ratings8.718 Ratings
    Themeable User Interface (UI)00 Ratings8.021 Ratings
    Customizable Platform (Open Source)00 Ratings7.319 Ratings
    Best Alternatives
    Google App EngineMicrosoft BI (MSBI)
    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 BI (MSBI)
    Likelihood to Recommend
    9.0
    (36 ratings)
    8.9
    (77 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    8.0
    (25 ratings)
    Usability
    10.0
    (8 ratings)
    8.9
    (19 ratings)
    Availability
    -
    (0 ratings)
    9.5
    (2 ratings)
    Performance
    10.0
    (1 ratings)
    7.0
    (2 ratings)
    Support Rating
    8.4
    (12 ratings)
    8.9
    (15 ratings)
    In-Person Training
    -
    (0 ratings)
    6.9
    (3 ratings)
    Online Training
    -
    (0 ratings)
    8.5
    (2 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    9.6
    (7 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (2 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.5
    (42 ratings)
    Data Sources
    -
    (0 ratings)
    8.4
    (41 ratings)
    User Testimonials
    Google App EngineMicrosoft BI (MSBI)
    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
    Microsoft BI has a lot of features and is a very powerful tool, especially if you have folks on your team that know how to utilize all of its capabilities. To truly unlock all that it can do, it does require people to have a deep understanding of its capabilities. That's where the software really shines. If you are looking for a simpler, more basic reporting tool, there are other programs available that do not require such a steep learning curve.
    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
    • Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple.
    • Using Visual Studio for database, ETL, reporting, and analytics development save time and money.
    • Transfer of data from one application to another via Excel and comparison of data attributes between applications
    • Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs.
    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
    • MSBI designs can work on increasing data processing capabilities enough to handle the huge datasets etc.
    • It would be a lot better if it is a little low on cost.
    • it needs to create opportunities little more than they do regarding customization of some very unique visualization effects
    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 BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
    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
    The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
    Incentivized
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    Reliability and Availability
    Google
    No answers on this topic
    Microsoft
    The product has been reliable.
    Read full review
    Performance
    Google
    No answers on this topic
    Microsoft
    SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
    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
    MSBI natively has a site that allows you to vote on user enhancements and bug fixes. This allows the largest nagging issues to float to the top and the development team can prioritize accordingly. As mentioned earlier, the large community base of MSBI developers assist technical resources in handling technical questions.
    Incentivized
    Read full review
    In-Person Training
    Google
    No answers on this topic
    Microsoft
    This training was more directed toward what the product was capable of rather than actual programming.
    Read full review
    Online Training
    Google
    No answers on this topic
    Microsoft
    I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
    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
    We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
    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
    • As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
    • However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.
    Incentivized
    Read full review
    ScreenShots