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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    SAP Predictive Analytics

    Score7.7 out of 10
    N/ASAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.N/A

    SAP IQ

    Score5.4 out of 10
    N/ASAP IQ (formerly SAP Sybase IQ) is a columnar relational database management system (RDBMS) optimized for Big Data analytics.N/A
    Pricing
    SAP Predictive AnalyticsSAP IQ
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    SAP Predictive AnalyticsSAP IQ
    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
    Best Alternatives
    SAP Predictive AnalyticsSAP IQ
    Small Businesses
    No answers on this topic
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    SAS Enterprise Guide
    Score9.4 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    SAS Enterprise Guide
    Score9.4 out of 10
    Db2
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    SAP Predictive AnalyticsSAP IQ
    Likelihood to Recommend
    9.0
    (3 ratings)
    8.0
    (3 ratings)
    Usability
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    7.0
    (1 ratings)
    10.0
    (1 ratings)
    User Testimonials
    SAP Predictive AnalyticsSAP IQ
    Likelihood to Recommend
    SAP
    It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
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    SAP
    Does data compression very well, produces query results very quickly, ability to scale up as data volume/size grow in an organization, row level versioning is in memory and hence the speed. It is a very stable product for large enterprises. More detailed documentation on how to use this product in the initial stages would be really welcome.
    Incentivized
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    Pros
    SAP
    • It doesn't require you to have a Ph.D. to build models!
    • You can use it to address a very large and wide dataset without worrying about sampling.
    • Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
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    SAP
    • Inserting millions of rows of data takes seconds.
    • Aggregating billions of rows of data is insanely fast (compared to Oracle, Sybase, and SQL Server).
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    Cons
    SAP
    • Working with this software is very simple and enjoyable for me as [an] IT consultant and expert, but it is a bit complicated for novice users.
    • Some big data takes more time‌to load, which I think could be faster
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    SAP
    • The pricing schedule is a bit expensive and cumbersome.
    • Licensing for a virtual machine is difficult to understand.
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    Usability
    SAP
    the UI is a bit dated and available as a desktop tool mostly.
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    SAP
    No answers on this topic
    Support Rating
    SAP
    The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
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    SAP
    SAP IQ support is top-notch. I prefer starting all my SAP IQ support tickets with their Instant Messenger, where the majority of our issues are resolved. If it makes it to their ticketing system, they are very prompt at responding and very knowledgeable in the platform.
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    Alternatives Considered
    SAP
    We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
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    SAP
    SAP IQ is perhaps an under-marketed product in the sense that it is able to scale up very well and perform much faster and more efficiently than other products such as Oracle - when we ran multiple large queries on both Sybase IQ and Oracle, we found that that results were much faster in Sybase IQ and this gave the confidence to go for this product.
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    Return on Investment
    SAP
    • Proper forecasting increases our credibility with partners and customers
    • Forecasting determines the amount of investment in each sector and reduces the cost of additional costs
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    SAP
    • The ROI over a number of years has been good. Seeing as how we use it for billing, it has an obvious ROI to us.
    • As they have been modifying their licensing structure, it's been difficult to keep up and understand how they work.
    Incentivized
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    ScreenShots