TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Data Exchange

    Score10 out of 10
    N/AAWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer, media & entertainment, and more.N/A

    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
    AWS Data ExchangeGoogle App Engine
    Editions & Modules
    No answers on this topic
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    Offerings
    Pricing Offerings
    AWS Data ExchangeGoogle App Engine
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    AWS Data ExchangeGoogle App Engine
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    92%
    Would buy again
    12 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    13 Answers
    Happy with the feature set
    No answers on this topic
    92%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    No answers on this topic
    92%
    Implementation went as expected
    12 Answers
    Features
    AWS Data ExchangeGoogle App Engine
    Data Source Connection
    Comparison of Data Source Connection features of AWS Data Exchange and Google App Engine
    Feature
    AWS Data Exchange
    8.0
    2 Ratings
    5% below category average
    Google App Engine
    -
    Ratings
    Connect to traditional data sources7.02 Ratings00 Ratings
    Connecto to Big Data and NoSQL9.01 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of AWS Data Exchange and Google App Engine
    Feature
    AWS Data Exchange
    8.2
    1 Ratings
    3% above category average
    Google App Engine
    -
    Ratings
    Data model creation9.01 Ratings00 Ratings
    Metadata management9.01 Ratings00 Ratings
    Business rules and workflow7.01 Ratings00 Ratings
    Collaboration9.01 Ratings00 Ratings
    Testing and debugging7.01 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of AWS Data Exchange and Google App Engine
    Feature
    AWS Data Exchange
    7.0
    1 Ratings
    14% below category average
    Google App Engine
    -
    Ratings
    Integration with data quality tools7.01 Ratings00 Ratings
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of AWS Data Exchange and Google App Engine
    Feature
    AWS Data Exchange
    -
    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
    AWS Data ExchangeGoogle App Engine
    Small Businesses
    Skyvia
    Score10 out of 10
    IBM Cloud Foundry
    Score8.5 out of 10
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    AWS Elastic Beanstalk
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS Data ExchangeGoogle App Engine
    Likelihood to Recommend
    1.0
    (2 ratings)
    9.0
    (36 ratings)
    Likelihood to Renew
    1.0
    (1 ratings)
    8.3
    (8 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (8 ratings)
    Performance
    -
    (0 ratings)
    10.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    8.4
    (12 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    AWS Data ExchangeGoogle App Engine
    Likelihood to Recommend
    Amazon AWS
    AWS Data Exchange fits best for scenarios where you have datasets that you would like to sell and you want to deliver it to anyone who would like to purchase it. It really beats having to set up downloads via your own website or portal. However, it can get complicated to manage if you're trying to deliver a dataset a client has already paid for.
    Incentivized
    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
    Amazon AWS
    • Simplified data delivery
    • Ability to create any amount of data products
    • Ability to integrate payment plans with data products
    • Tracking data downloads and users
    • Integration with other AWS data services
    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
    Amazon AWS
    • Integration with more data sources
    • Ability to deliver data to clients without AWS accounts
    • Inclusion of direct data downloads in addition to asynchronous methods
    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
    Amazon AWS
    There have been a lot of problems with ADX. First, the entire system is incredibly clunky from beginning to end.First, by AWS's own admission they're missing a lot of "tablestakes functionality" like the ability to see who is coming to your pages, more flexibility to edit and update your listings, the ability to create a storefront or catalog that actually tries to sell your products. All-in-all you're flying completely blind with AWS. In our convos with other sellers we strongly believe very little organic traffic is flowing through the AWS exchange. For the headache, it's not worth the time or the effort. It's very difficult to market or sell your products.We've also had a number of simple UX bugs where they just don't accurately reflect the attributes of your product. For instance for an S3 bucket they had "+metered costs" displayed to one of our buyers in the price. This of course caused a lot of confusion. They also misrepresented the historical revisions that were available in our product sets because of another UX bug. It's difficult to know what other things in the UX are also broken and incongruent.We also did have a purchase, but the seller is completely at their whim at providing you fake emails, fake company names, fake use cases because AWS hasn't thought through simple workflows like "why even have subscription confirmation if I can fake literally everything about a subscription request." So as a result we're now in an endless, timewasting, unhelpful thread with AWS support trying to get payment. They're confused of what to do and we feel completely lost.Lastly, the AWS team has been abysmal in addressing our concerns. Conversations with them result in a laundry list of excuses of why simple functionalities are so hard (including just having accurate documentation). It was a very frustrating and unproductive call. Our objective of our call was to help us see that ADX is a well-resourced and well-visioned product. Ultimately they couldn't clearly articulate who they built the exchange for both on the seller side and the buyer side.Don't waste your time. This is at best a very foggy experiment. Look at other sellers, they have a lot of free pages to try to get attention, but then have smart tactics to divert transactions away from the ADX. Ultimately, smart move. Why give 8-10% of your cut to a product that is basically bare-bones infrastructure.
    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
    Amazon AWS
    No answers on this topic
    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
    Support Rating
    Amazon AWS
    No answers on this topic
    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
    Alternatives Considered
    Amazon AWS
    No answers on this topic
    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
    Return on Investment
    Amazon AWS
    • Reduced time to publish datasets for sale by more than 80%
    • Increased net profit from dataset sales by ~10%
    • Reduced data delivery time to clients by 15%
    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