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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

    RapidMiner

    Score8.9 out of 10
    N/ARapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

    $7,500

    Per User Per Month

    Pricing
    Google App EngineRapidMiner
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    Professional
    $7,500.00
    Per User Per Month
    Enterprise
    $15,000.00
    Per User Per Month
    AI Hub
    $54,000.00
    Per User Per Month
    Offerings
    Pricing Offerings
    Google App EngineRapidMiner
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google App EngineRapidMiner
    Considered Both Products
    Google
    No answer on this topic
    Altair Engineering, Inc.
    No answer on this topic
    Key User Insights
    Would buy again
    92%
    Would buy again
    12 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    No answers on this topic
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    No answers on this topic
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    No answers on this topic
    Features
    Google App EngineRapidMiner
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and RapidMiner
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    RapidMiner
    -
    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
    Platform Connectivity
    Comparison of Platform Connectivity features of Google App Engine and RapidMiner
    Feature
    Google App Engine
    -
    Ratings
    RapidMiner
    9.5
    2 Ratings
    13% above category average
    Connect to Multiple Data Sources00 Ratings10.02 Ratings
    Extend Existing Data Sources00 Ratings10.02 Ratings
    Automatic Data Format Detection00 Ratings9.02 Ratings
    MDM Integration00 Ratings9.01 Ratings
    Data Exploration
    Comparison of Data Exploration features of Google App Engine and RapidMiner
    Feature
    Google App Engine
    -
    Ratings
    RapidMiner
    9.0
    2 Ratings
    7% above category average
    Visualization00 Ratings9.02 Ratings
    Interactive Data Analysis00 Ratings9.02 Ratings
    Data Preparation
    Comparison of Data Preparation features of Google App Engine and RapidMiner
    Feature
    Google App Engine
    -
    Ratings
    RapidMiner
    8.8
    2 Ratings
    7% above category average
    Interactive Data Cleaning and Enrichment00 Ratings9.02 Ratings
    Data Transformations00 Ratings7.02 Ratings
    Data Encryption00 Ratings9.02 Ratings
    Built-in Processors00 Ratings10.02 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Google App Engine and RapidMiner
    Feature
    Google App Engine
    -
    Ratings
    RapidMiner
    9.0
    2 Ratings
    6% above category average
    Multiple Model Development Languages and Tools00 Ratings9.02 Ratings
    Automated Machine Learning00 Ratings9.02 Ratings
    Single platform for multiple model development00 Ratings9.02 Ratings
    Self-Service Model Delivery00 Ratings9.02 Ratings
    Model Deployment
    Comparison of Model Deployment features of Google App Engine and RapidMiner
    Feature
    Google App Engine
    -
    Ratings
    RapidMiner
    9.0
    2 Ratings
    6% above category average
    Flexible Model Publishing Options00 Ratings9.02 Ratings
    Security, Governance, and Cost Controls00 Ratings9.01 Ratings
    Best Alternatives
    Google App EngineRapidMiner
    Small Businesses
    IBM Cloud Foundry
    Score8.5 out of 10
    Jupyter Notebook
    Score8.6 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    AWS Elastic Beanstalk
    Score8.6 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineRapidMiner
    Likelihood to Recommend
    9.0
    (36 ratings)
    10.0
    (18 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    9.0
    (1 ratings)
    Usability
    10.0
    (8 ratings)
    9.0
    (1 ratings)
    Performance
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.4
    (12 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google App EngineRapidMiner
    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
    Altair Engineering, Inc.
    RapidMiner is really fantastic to perform fast ETL processes and work on your data as you want, no matter what is the source. You will really save a lot of time when you learn how to use it. You can create mining analysis with several algorithms, and thanks to add-ons, you can apply a lot of techniques. It will not replace a business intelligence dashboard but it allows to create great datamarts for your BI tools. One negative thing is that It's no easy to share your outputs.
    Incentivized
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    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
    Altair Engineering, Inc.
    • I am very impressed at how easily you can work within RapidMiner without much data analytics training. Plus with the help of the crowd, you can see what steps others have taken with their data analytics projects.
    • Text mining was simple and clean. We used this for our call transcription problem where we didn't have the resources to listen to each call. We needed to qualify each call based on some key phrases.
    • Our direct mail program was large and not very targeted. Using RapidMiner, we were able to isolate a predictive level we felt comfortable with and decided not to send to anyone below that level. We saved quite a bit of money.
    Incentivized
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    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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    Altair Engineering, Inc.
    • I hope RapidMiner would be the first data science platform that allows data scientists to change the behaviour of a machine learning algorithm that already exists in the repository. For example, I want to be able to change the way a genetic algorithm mutates.
    • Automatic programming: One day, I hope RapidMiner can automatically generate codes in any 4th generation programming language based on the developed model.
    • More tutorials/samples needed: Why doesn't RapidMiner becomes the next 'UC Irvine Machine Learning Repository'? Provide real examples and real cases for users to study and understand the best practices in modelling. RapidMiner already has some datasets for a tutorial. Besides the existing samples, I hope RapidMiner can provide more sample data and examples.
    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
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    Altair Engineering, Inc.
    Very fast and user-friendly tool
    Incentivized
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    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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    Altair Engineering, Inc.
    Very use to use and learn
    Incentivized
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    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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    Altair Engineering, Inc.
    No answers on this topic
    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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    Altair Engineering, Inc.
    We tried different data tools and we figured we give RapidMinder Studio a shot as one of our employees had experience with it, and when compared to some of the other tools that we used it was the best fit among the test group that we used. Overall it was a little more fluid and user-friendly.
    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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    Altair Engineering, Inc.
    • Thanks to the patters that RapidMiner has detected, we have been able to follow clues in the right direction, both for the Protein Interaction Network Analysis and for the Epilepsy Research
    • Students and participants of the machine learning workshops have learned about this technology and about the tool
    Incentivized
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    ScreenShots