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Informatica Cloud Data Quality vs. SQL Server Integration Services (SSIS)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Informatica Cloud Data Quality

    Score6.9 out of 10
    N/AThe vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A

    SSIS

    Score8 out of 10
    N/AMicrosoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
    Pricing
    Informatica Cloud Data QualitySSIS
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Informatica Cloud Data QualitySSIS
    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
    Informatica Cloud Data QualitySSIS
    Considered Both Products
    Informatica
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    84%
    Would buy again
    21 Answers
    Delivers good value for the price
    No answers on this topic
    96%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    No answers on this topic
    88%
    Happy with the feature set
    22 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
    95%
    Implementation went as expected
    19 Answers
    Features
    Informatica Cloud Data QualitySSIS
    Data Quality
    Comparison of Data Quality features of Informatica Cloud Data Quality and SQL Server Integration Services (SSIS)
    Feature
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    SQL Server Integration Services (SSIS)
    -
    Ratings
    Data source connectivity8.94 Ratings00 Ratings
    Data profiling8.74 Ratings00 Ratings
    Master data management (MDM) integration8.24 Ratings00 Ratings
    Data element standardization7.14 Ratings00 Ratings
    Match and merge7.94 Ratings00 Ratings
    Address verification8.44 Ratings00 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of Informatica Cloud Data Quality and SQL Server Integration Services (SSIS)
    Feature
    Informatica Cloud Data Quality
    -
    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 Informatica Cloud Data Quality and SQL Server Integration Services (SSIS)
    Feature
    Informatica Cloud Data Quality
    -
    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 Informatica Cloud Data Quality and SQL Server Integration Services (SSIS)
    Feature
    Informatica Cloud Data Quality
    -
    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 Informatica Cloud Data Quality and SQL Server Integration Services (SSIS)
    Feature
    Informatica Cloud Data Quality
    -
    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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    Informatica Cloud Data QualitySSIS
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    Score10 out of 10
    Enterprises
    SAP Data Services
    Score7.8 out of 10
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    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Informatica Cloud Data QualitySSIS
    Likelihood to Recommend
    9.0
    (19 ratings)
    8.0
    (56 ratings)
    Likelihood to Renew
    6.6
    (14 ratings)
    9.0
    (4 ratings)
    Usability
    8.0
    (1 ratings)
    8.0
    (11 ratings)
    Availability
    9.0
    (2 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (1 ratings)
    8.8
    (6 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (8 ratings)
    Online Training
    10.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    10.0
    (2 ratings)
    Product Scalability
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Informatica Cloud Data QualitySSIS
    Likelihood to Recommend
    Informatica
    For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
    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
    Informatica
    • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
    • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
    • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
    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
    Informatica
    • Several partnerships diminishing the value of technologies
    • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
    • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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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
    Informatica
    As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
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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
    Informatica
    Easy to use not only for developers but also business users
    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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    Reliability and Availability
    Informatica
    The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
    Incentivized
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    Microsoft
    No answers on this topic
    Performance
    Informatica
    Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
    Incentivized
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    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
    Informatica
    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
    Informatica
    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
    Incentivized
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    Alternatives Considered
    Informatica
    IDQ is used by a department at my organisation to ensure and enhance the data quality.
    The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
    In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
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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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    Scalability
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    Incentivized
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    Microsoft
    No answers on this topic
    Return on Investment
    Informatica
    • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
    • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
    • Employee efficiency is increased exponentially due to more automated, customized tool
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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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