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Google App Engine vs. SQL Server Integration Services (SSIS)

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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

    SSIS

    Score8 out of 10
    N/AMicrosoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
    Pricing
    Google App EngineSSIS
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    No answers on this topic
    Offerings
    Pricing Offerings
    Google App EngineSSIS
    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 EngineSSIS
    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
    84%
    Would buy again
    21 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    96%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    88%
    Happy with the feature set
    22 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
    10 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    95%
    Implementation went as expected
    19 Answers
    Features
    Google App EngineSSIS
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and SQL Server Integration Services (SSIS)
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    SQL Server Integration Services (SSIS)
    -
    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
    Data Source Connection
    Comparison of Data Source Connection features of Google App Engine and SQL Server Integration Services (SSIS)
    Feature
    Google App Engine
    -
    Ratings
    SQL Server Integration Services (SSIS)
    7.0
    56 Ratings
    18% below category average
    Connect to traditional data sources00 Ratings9.056 Ratings
    Connecto to Big Data and NoSQL00 Ratings5.043 Ratings
    Data Transformations
    Comparison of Data Transformations features of Google App Engine and SQL Server Integration Services (SSIS)
    Feature
    Google App Engine
    -
    Ratings
    SQL Server Integration Services (SSIS)
    6.8
    56 Ratings
    18% below category average
    Simple transformations00 Ratings8.956 Ratings
    Complex transformations00 Ratings4.755 Ratings
    Data Modeling
    Comparison of Data Modeling features of Google App Engine and SQL Server Integration Services (SSIS)
    Feature
    Google App Engine
    -
    Ratings
    SQL Server Integration Services (SSIS)
    7.5
    54 Ratings
    6% below category average
    Data model creation00 Ratings9.028 Ratings
    Metadata management00 Ratings6.035 Ratings
    Business rules and workflow00 Ratings7.145 Ratings
    Collaboration00 Ratings9.140 Ratings
    Testing and debugging00 Ratings6.451 Ratings
    Data Governance
    Comparison of Data Governance features of Google App Engine and SQL Server Integration Services (SSIS)
    Feature
    Google App Engine
    -
    Ratings
    SQL Server Integration Services (SSIS)
    5.4
    43 Ratings
    40% below category average
    Integration with data quality tools00 Ratings6.238 Ratings
    Integration with MDM tools00 Ratings4.638 Ratings
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    Google App EngineSSIS
    Small Businesses
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    Score8.5 out of 10
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    AWS Elastic Beanstalk
    Score8.6 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineSSIS
    Likelihood to Recommend
    9.0
    (36 ratings)
    8.0
    (56 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    9.0
    (4 ratings)
    Usability
    10.0
    (8 ratings)
    8.0
    (11 ratings)
    Performance
    10.0
    (1 ratings)
    8.8
    (6 ratings)
    Support Rating
    8.4
    (12 ratings)
    8.0
    (8 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    10.0
    (2 ratings)
    User Testimonials
    Google App EngineSSIS
    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
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    Microsoft
    As I mentioned earlier SQL Server Integration Services is suitable if you want to manage data from different applications. It really helps in fetching the data and generating reports. Its automation make it very easy and time efficient. It works well with large database as well. But it doesn't work well with real time data, it will take some time to gather the real time data. I would not recommend using it in a real time/fast-paced environment.
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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
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    Microsoft
    • Standard ETL use cases for daily loads
    • Loading incoming data from Vendors which is placed on FTP and adding them to the SQL Warehouse
    • Creating outgoing data files and writing them to Vendor FTPs
    • Easy Active Directory integration for seamless connections to SQL Server
    • CI/CD by hosting the code on visualstudio.com
    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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    Microsoft
    • Connection managers for online data sources can be tricky to configure.
    • Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
    • Mapping destination using OLE DB command is difficult as destination columns are unnamed.
    • Excel or flat file connections are limited by version and type.
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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
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    Microsoft
    Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
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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
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    Microsoft
    SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.
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    Performance
    Google
    No answers on this topic
    Microsoft
    SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.
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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.
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    Microsoft
    The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
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    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
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    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.
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    Microsoft
    I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer
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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.
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    Microsoft
    • Without this, we would have to manually update a spreadsheet of our SQL Server inventory
    • We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
    • We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.
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