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Oracle Autonomous Data Warehouse vs. SQL Server Integration Services (SSIS)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Oracle Autonomous Data Warehouse

    Score8.1 out of 10
    N/AOracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A

    SSIS

    Score8 out of 10
    N/AMicrosoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
    Pricing
    Oracle Autonomous Data WarehouseSSIS
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Oracle Autonomous Data WarehouseSSIS
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Oracle Autonomous Data WarehouseSSIS
    Considered Both Products
    Oracle
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    84%
    Would buy again
    21 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    96%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    88%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    95%
    Implementation went as expected
    19 Answers
    Features
    Oracle Autonomous Data WarehouseSSIS
    Data Source Connection
    Comparison of Data Source Connection features of Oracle Autonomous Data Warehouse and SQL Server Integration Services (SSIS)
    Feature
    Oracle Autonomous Data Warehouse
    -
    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 Oracle Autonomous Data Warehouse and SQL Server Integration Services (SSIS)
    Feature
    Oracle Autonomous Data Warehouse
    -
    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 Oracle Autonomous Data Warehouse and SQL Server Integration Services (SSIS)
    Feature
    Oracle Autonomous Data Warehouse
    -
    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 Oracle Autonomous Data Warehouse and SQL Server Integration Services (SSIS)
    Feature
    Oracle Autonomous Data Warehouse
    -
    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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    Score10 out of 10
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    Cloudera Enterprise Data Hub
    Score9 out of 10
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    Score10 out of 10
    Enterprises
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    Score9.8 out of 10
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    Score8.3 out of 10
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    User Ratings
    Oracle Autonomous Data WarehouseSSIS
    Likelihood to Recommend
    8.9
    (32 ratings)
    8.0
    (56 ratings)
    Likelihood to Renew
    8.0
    (1 ratings)
    9.0
    (4 ratings)
    Usability
    -
    (0 ratings)
    8.0
    (11 ratings)
    Performance
    -
    (0 ratings)
    8.8
    (6 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (8 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    10.0
    (2 ratings)
    User Testimonials
    Oracle Autonomous Data WarehouseSSIS
    Likelihood to Recommend
    Oracle
    II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
    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
    Oracle
    • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
    • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
    • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
    • It is always patched and always available and you can add storage dynamically as you need it.
    Read full review
    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
    Oracle
    • It is very expensive product. But not to mention, there's good reasons why it is expensive.
    • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
    • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
    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.
    Incentivized
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    Likelihood to Renew
    Oracle
    Because
    • It is really simple to provision and configure.
    • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
    • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
    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
    Oracle
    No answers on this topic
    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
    Oracle
    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
    Oracle
    No answers on this topic
    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.
    Incentivized
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    Implementation Rating
    Oracle
    Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
    Incentivized
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    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
    Incentivized
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    Alternatives Considered
    Oracle
    As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
    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
    Oracle
    • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
    • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
    • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
    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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