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Google Cloud SQL vs. SQL Server Integration Services (SSIS)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud SQL

    Score8.7 out of 10
    N/AGoogle Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

    $0

    per core hour

    SSIS

    Score8 out of 10
    N/AMicrosoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
    Pricing
    Google Cloud SQLSSIS
    Editions & Modules
    License - Express
    $0
    per core hour
    License - Web
    $0.01134
    per core hour
    Storage - for backups
    $.08
    per month per GB
    HA Storage - for backups
    $.08
    per month per GB
    Storage - HDD storage capacity
    $.09
    per month per GB
    License - Standard
    $0.13
    per core hour
    Storage - SSD storage capacity
    $.17
    per month per GB
    HA Storage - HDD storage capacity
    $.18
    per month per GB
    HA Storage - SSD storage capacity
    $.34
    per month per GB
    License - Enterprise
    $0.47
    per core hour
    Memory
    $5.11
    per month per GB
    HA Memory
    $10.22
    per month per GB
    vCPUs
    $30.15
    per month per vCPU
    HA vCPUs
    $60.30
    per month per vCPU
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud SQLSSIS
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.—
    More Pricing Information
    Features
    Google Cloud SQLSSIS
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud SQL and SQL Server Integration Services (SSIS)
    Feature
    Google Cloud SQL
    8.9
    35 Ratings
    5% above category average
    SQL Server Integration Services (SSIS)
    -
    Ratings
    Automatic software patching9.612 Ratings00 Ratings
    Database scalability8.635 Ratings00 Ratings
    Automated backups8.735 Ratings00 Ratings
    Database security provisions8.535 Ratings00 Ratings
    Monitoring and metrics9.034 Ratings00 Ratings
    Automatic host deployment9.012 Ratings00 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of Google Cloud SQL and SQL Server Integration Services (SSIS)
    Feature
    Google Cloud SQL
    -
    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 Cloud SQL and SQL Server Integration Services (SSIS)
    Feature
    Google Cloud SQL
    -
    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 Cloud SQL and SQL Server Integration Services (SSIS)
    Feature
    Google Cloud SQL
    -
    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 Cloud SQL and SQL Server Integration Services (SSIS)
    Feature
    Google Cloud SQL
    -
    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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    Score8.8 out of 10
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    Score10 out of 10
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    Score8.8 out of 10
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    User Ratings
    Google Cloud SQLSSIS
    Likelihood to Recommend
    8.4
    (35 ratings)
    8.0
    (56 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    9.0
    (4 ratings)
    Usability
    8.6
    (17 ratings)
    8.0
    (11 ratings)
    Performance
    -
    (0 ratings)
    8.8
    (6 ratings)
    Support Rating
    9.1
    (5 ratings)
    8.0
    (8 ratings)
    Implementation Rating
    9.1
    (1 ratings)
    10.0
    (2 ratings)
    Ease of integration
    9.3
    (12 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud SQLSSIS
    Likelihood to Recommend
    Google
    Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.
    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.
    Incentivized
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    Pros
    Google
    • It has a easily and user understandable interface which provides it every necessary feature to come up with.
    • It's backend is very strong that can help us to run big quieres without any hesitation.
    • It's integration with other tools are one of the powerful feature which makes it more suitable to use.
    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
    • Increasing support for more database engines may enable a wider range of application needs to be met.
    • Implementing and updating cutting-edge security features on a constant basis.
    • Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
    Read full review
    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.
    Incentivized
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    Likelihood to Renew
    Google
    It fits the current needs and bandwith of out lean organization.
    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
    Incentivized
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    Usability
    Google
    As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.
    Incentivized
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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.
    Incentivized
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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.
    Incentivized
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    Support Rating
    Google
    GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
    Incentivized
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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
    Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
    Incentivized
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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
    Incentivized
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    Return on Investment
    Google
    • Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
    • Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
    • It was cheaper than the legacy aws service since we needed large database instances
    Incentivized
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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.
    Incentivized
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    ScreenShots

    Google Cloud SQL Screenshots

    Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.