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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

    IBM Cognos Analytics

    Score7.7 out of 10
    N/AIBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.

    $11.25

    per month per user

    Pricing
    Google App EngineIBM Cognos Analytics
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    On Demand - Standard
    USD 11.25
    per month per user
    On Demand - Premium
    USD 44.90
    per month per user
    Offerings
    Pricing Offerings
    Google App EngineIBM Cognos Analytics
    Free Trial
    NoYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Google App EngineIBM Cognos Analytics
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    92%
    Would buy again
    12 Answers
    97%
    Would buy again
    92 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    94%
    Delivers good value for the price
    79 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    96%
    Happy with the feature set
    91 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    93%
    Lived up to sales and marketing promises
    55 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    96%
    Implementation went as expected
    64 Answers
    Features
    Google App EngineIBM Cognos Analytics
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    IBM Cognos Analytics
    -
    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 IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    7.7
    138 Ratings
    6% below category average
    Pixel Perfect reports00 Ratings7.6129 Ratings
    Customizable dashboards00 Ratings8.0136 Ratings
    Report Formatting Templates00 Ratings7.5131 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    7.9
    138 Ratings
    1% below category average
    Drill-down analysis00 Ratings7.4136 Ratings
    Formatting capabilities00 Ratings8.3139 Ratings
    Integration with R or other statistical packages00 Ratings7.397 Ratings
    Report sharing and collaboration00 Ratings8.6133 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    9.2
    136 Ratings
    11% above category average
    Publish to Web00 Ratings9.836 Ratings
    Publish to PDF00 Ratings8.2132 Ratings
    Report Versioning00 Ratings9.833 Ratings
    Report Delivery Scheduling00 Ratings8.2134 Ratings
    Delivery to Remote Servers00 Ratings9.918 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    7.4
    124 Ratings
    8% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.9121 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.0114 Ratings
    Predictive Analytics00 Ratings6.7110 Ratings
    Pattern Recognition and Data Mining00 Ratings6.947 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    7.8
    130 Ratings
    8% below category average
    Multi-User Support (named login)00 Ratings7.5129 Ratings
    Role-Based Security Model00 Ratings7.5127 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.4127 Ratings
    Report-Level Access Control00 Ratings8.257 Ratings
    Single Sign-On (SSO)00 Ratings8.6111 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    6.4
    109 Ratings
    19% below category average
    Responsive Design for Web Access00 Ratings6.8104 Ratings
    Mobile Application00 Ratings6.390 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings6.696 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google App Engine and IBM Cognos Analytics
    Feature
    Google App Engine
    -
    Ratings
    IBM Cognos Analytics
    9.2
    87 Ratings
    17% above category average
    REST API00 Ratings7.683 Ratings
    Javascript API00 Ratings7.779 Ratings
    iFrames00 Ratings9.912 Ratings
    Java API00 Ratings10.013 Ratings
    Themeable User Interface (UI)00 Ratings9.915 Ratings
    Customizable Platform (Open Source)00 Ratings9.99 Ratings
    Best Alternatives
    Google App EngineIBM Cognos Analytics
    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 EngineIBM Cognos Analytics
    Likelihood to Recommend
    9.0
    (36 ratings)
    8.0
    (158 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    8.4
    (31 ratings)
    Usability
    10.0
    (8 ratings)
    7.3
    (10 ratings)
    Availability
    -
    (0 ratings)
    8.6
    (4 ratings)
    Performance
    10.0
    (1 ratings)
    9.0
    (5 ratings)
    Support Rating
    8.4
    (12 ratings)
    1.0
    (9 ratings)
    In-Person Training
    -
    (0 ratings)
    8.7
    (4 ratings)
    Online Training
    -
    (0 ratings)
    8.0
    (4 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    7.0
    (7 ratings)
    Configurability
    -
    (0 ratings)
    7.0
    (3 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.6
    (40 ratings)
    Data Sources
    -
    (0 ratings)
    8.3
    (40 ratings)
    Ease of integration
    -
    (0 ratings)
    5.5
    (6 ratings)
    Product Scalability
    -
    (0 ratings)
    6.4
    (5 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    7.0
    (1 ratings)
    User Testimonials
    Google App EngineIBM Cognos Analytics
    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
    IBM
    For Transaction monitoring, we build reports for executive management, providing insights into the number of alerts, the types or categories of detection scenarios, the risk profile, and a snapshot of high- or urgent-priority cases to be reported to AUSTRAC. Congos helps to build the report by ingesting alert data exported from SAS datasets. It joins with other data from Teradata and Customer Hub (Oracle).
    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
    IBM
    • Enterprise reporting - Create, customise, and run reports on sales trends, consumer sentiment, etc.
    • Dashboard creation and data exploration & analysis - Using drag and drop feature to create ad-hoc visualisation. Additionally, using AI powered natural language query feature for data analysis and dashboard input (formation of pie, bar, line charts). It's useful for no-technical person to put queries around the spreadsheet data to get quick answers.
    • Building insights for accurate decision making - Package reports with data backed insights for stakeholders in pdf, and Excel format to support business ad-hoc cases, forecasting and strategic recommendations on relevant asks.
    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
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    IBM
    • IBM Cognos Analytics enables customer data segmentation, which is essential for marketing, improving and streamlining purchasing behavior and preferences. This helps companies create more targeted and effective marketing campaigns.
    • Our clients Through data analysis, we can identify and observe trends in the behavior of other clients, allowing us to anticipate needs and adjust strategies to avoid consequences.
    Incentivized
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    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
    IBM
    For an existing solution, renewing licenses does provide a good return on investment. Additionally, while rolling out scorecards and dashboards with little adhoc capabilities, to end users, cognos is very easily scalable. It also allows to create a solution that has a mix of OLAP and relational data-sources, which is a limitation with other tools. Synchronizing with existing security setup is easy too.
    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
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    IBM
    We have a strong user base (3500 users) that are highly utilizing this tool. Basic users are able to consume content within the applied security model. We have a set of advanced users that really push the limits of Cognos with Report and Query Studio. These users have created a lot of personal content and stored it in 'My Reports'. Users enjoy this flexibility.
    Read full review
    Reliability and Availability
    Google
    No answers on this topic
    IBM
    Reports can typically be viewed through any browser that can access the server, so the availability is ultimately up to what the company utilizing it is comfortable with allowing, though report development tends to be more picky about browsers and settings as mentioned above. It also has an optional iPad app and general mobile browsing support, but dashboards lack the mobile compatibility. What keeps it from getting a higher score is the desktop tools that are vital to the development process. The compatibility with only Windows when the server has a wide range of compatibility can be a real sore point for a company that outfits its employees exclusively with Mac or Linux machines. Of course, if they are planning on outsourcing the development anyways, it's a rather moot point
    Read full review
    Performance
    Google
    No answers on this topic
    IBM
    Overall no major complaints but it doesn't handle DMR (Dimensionally Modeled for Relational) very well. DMR modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata and allows for OLAP-style queries. However, the capability is not very efficient and, for example, if I'm using only 2 columns on a 20-column model, the software is not smart enough to exclude 18 columns and the query side gets progressively larger and larger until it's effectively unusable.
    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
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    IBM
    Why is their web application not working as fast as you think it should? They never know, and it is always a a bunch of shots in the dark to find out. Trying to download software from them is like trying to find a book at the library before computers were invented.
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    IBM
    Onsite training provided by IBM Cognos was effective and as expected. They did not perform training with our data which was a bit difficult for our end-users.
    Read full review
    Online Training
    Google
    No answers on this topic
    IBM
    The online courses they offer are thorough and presented in such a way that someone who isn't already familiar with the general design methodologies used in this field will be capable of making a good design. The training environments are provided as a fully self contained virtual machine with everything needed already to create the environments. We've had some persisting issues with the environments becoming unavailable, but support has been responsive when these issues arise and straightening them out for us
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    Implementation Rating
    Google
    No answers on this topic
    IBM
    Make sure that any custom tables that you have, are built into your metadata packages. You can still access them via SQL queries in Cognos, but it is much easier to have them as a part of the available metadata packages.
    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
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    IBM
    Power BI is stronger for quick ad-hoc analysis and dashboards, but IBM Cognos Analytics is better when consistency, precision, and mass distribution matter. Tableau is best for interactive analysis, while IBM Cognos Analytics is better for standardized, repeatable enterprise reporting. Sigma shines for customizable dashboards and drill-down analysis while IBM Cognos Analytics holds an edge in data discovery and visualization.
    Incentivized
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    Scalability
    Google
    No answers on this topic
    IBM
    We rate IBM Cognos Analytics a 9 out of 10 for overall scalability. The platform handles large numbers of users, reports, and analytical workloads very reliably. We have experienced strong performance even in demanding enterprise environments with substantial data volumes. Its architecture provides sufficient flexibility to scale resources according to demand, making it well suited for large, business-critical deployments.
    Incentivized
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    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
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    IBM
    • The platform can be pretty pricey.
    • Convoluted contracts and they fine you for any breach during audits.
    • Things are changed between releases without any warning and break.
    • It is second to none at being able to customize list and crosstab type reports.
    • You can easily set up a report to be emailed out every day and even have it export the report to a shared folder.
    • On-prem environments can be scaled up pretty much as much as you would like.
    Incentivized
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    ScreenShots

    IBM Cognos Analytics Screenshots

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