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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

    SAP Datasphere

    Score8.6 out of 10
    N/ASAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…N/A
    Pricing
    Informatica Cloud Data QualitySAP Datasphere
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Informatica Cloud Data QualitySAP Datasphere
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—SAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
    More Pricing Information
    Community Pulse
    Informatica Cloud Data QualitySAP Datasphere
    Considered Both Products
    Informatica
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    95%
    Would buy again
    121 Answers
    Delivers good value for the price
    No answers on this topic
    95%
    Delivers good value for the price
    108 Answers
    Happy with the feature set
    No answers on this topic
    93%
    Happy with the feature set
    119 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    92%
    Lived up to sales and marketing promises
    99 Answers
    Implementation went as expected
    No answers on this topic
    89%
    Implementation went as expected
    103 Answers
    Features
    Informatica Cloud Data QualitySAP Datasphere
    Data Quality
    Comparison of Data Quality features of Informatica Cloud Data Quality and SAP Datasphere
    Feature
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    SAP Datasphere
    -
    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
    Best Alternatives
    Informatica Cloud Data QualitySAP Datasphere
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    No answers on this topic
    Enterprises
    SAP Data Services
    Score7.8 out of 10
    Talend Data Fabric
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Informatica Cloud Data QualitySAP Datasphere
    Likelihood to Recommend
    9.0
    (19 ratings)
    8.7
    (127 ratings)
    Likelihood to Renew
    6.6
    (14 ratings)
    6.8
    (4 ratings)
    Usability
    8.0
    (1 ratings)
    8.4
    (69 ratings)
    Availability
    9.0
    (2 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (21 ratings)
    Online Training
    10.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.4
    (8 ratings)
    Product Scalability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    -
    (0 ratings)
    8.8
    (4 ratings)
    User Testimonials
    Informatica Cloud Data QualitySAP Datasphere
    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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    SAP
    SAP Datasphere is well suited for scalable cloud based data integration scenarios which also opens up the doors for AI driven insights which are much harder to achieve with on-prem data warehouses. Considering the licensing model of SAP Datasphere being based on consumption driven capacity units cost can be a big consideration for organizations with large volumes of data that can be a pre-requisite for data mining and AI use cases. So this can be a bottleneck or not so well adopted scenario for SAP Datasphere.
    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.
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    SAP
    • SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
    • Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
    • Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
    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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    SAP
    • Need to have a good understanding of the SAP ecosystem to implement and use it.
    • From a cost perspective it can be little bit on the expensive side for enterprises.
    • The platform is still new and hence more subjected to bugs. But support for it is always good from the SAP team.
    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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    SAP
    Datasphere can come with its own challenges which can feel like a mountain to get over. However, once one has an understanding of how the product works it becomes easier to use. Once the time is spent to get it setup and working correctly very little is needed to keep it running smoothly. Its a great tool it just takes time to learn.
    Incentivized
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    Usability
    Informatica
    Easy to use not only for developers but also business users
    Incentivized
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    SAP
    SAP has suggested that BW 7.5 will be sunset soon. Usability is good in SAP BW Modernization. Instead of going with other non-SAP tools, staying with SAP will be suitable for existing users. Across the board, many of them are moving to DataSphere.
    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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    SAP
    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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    SAP
    No answers on this topic
    Support Rating
    Informatica
    No answers on this topic
    SAP
    I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
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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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    SAP
    Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
    Incentivized
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    Contract Terms and Pricing Model
    Informatica
    No answers on this topic
    SAP
    Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service
    Incentivized
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    Scalability
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    Incentivized
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    SAP
    No answers on this topic
    Professional Services
    Informatica
    No answers on this topic
    SAP
    Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.
    Incentivized
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    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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    SAP
    • Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
    • Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
    • SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.
    Incentivized
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