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Top 10 SAP Predictive Analytics Alternatives

Vendor: SAP
4.3 out of 5
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Top SAP Predictive Analytics Competitors

Discover the top alternatives and competitors to SAP Predictive Analytics based on the interviews we conducted with its users. The top alternative solutions include KNIME Business Hub, Amazon SageMaker, and Alteryx. The alternatives are sorted based on how often peers compare the solutions.

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KNIME Business Hub
4.1 out of 5
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KNIME Business Hub
4.1 out of 5
KNIME Business Hub offers configurable workflows and an intuitive interface, suiting budget-conscious buyers with its lower costs. In comparison, SAP Predictive Analytics excels in advanced features and model management, making it ideal for enterprises seeking comprehensive data insights despite a higher price.
Download KNIME Business Hub vs. SAP Predictive Analytics Report
KNIME Business Hub has no setup cost, simplifying initial deployment, whereas SAP Predictive Analytics involves a significant setup fee, impacting budget planning.
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KNIME Business Hub has no setup cost, simplifying initial deployment, whereas SAP Predictive Analytics involves a significant setup fee, impacting budget planning.
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Amazon SageMaker
3.9 out of 5
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Amazon SageMaker
3.9 out of 5
SAP Predictive Analytics offers strong integration and affordable pricing, drawing businesses with seamless system compatibility and cost efficiency. In comparison, Amazon SageMaker's machine learning flexibility and cloud deployment attract buyers willing to invest in scalable solutions for long-term growth.
Download Amazon SageMaker vs. SAP Predictive Analytics Report
SAP Predictive Analytics has a higher setup cost, whereas Amazon SageMaker offers a more cost-effective initial setup, making it a budget-friendly choice for scaling predictive analytics applications.
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SAP Predictive Analytics has a higher setup cost, whereas Amazon SageMaker offers a more cost-effective initial setup, making it a budget-friendly choice for scaling predictive analytics applications.
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Alteryx
4.2 out of 5
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Alteryx
4.2 out of 5
Alteryx's drag-and-drop interface and data blending capabilities appeal to users seeking integration ease and flexible manipulation. In comparison, SAP Predictive Analytics focuses on automation and scalability, making it preferable for handling large data sets with advanced modeling and machine learning options.
Download Alteryx vs. SAP Predictive Analytics Report
Alteryx generally incurs lower setup costs, which contrasts with SAP Predictive Analytics where setup expenses are higher, reflecting the system's complexity and broader implementation demands.
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Alteryx generally incurs lower setup costs, which contrasts with SAP Predictive Analytics where setup expenses are higher, reflecting the system's complexity and broader implementation demands.
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Microsoft Azure Machine Learning Studio
3.9 out of 5
Microsoft Azure Machine Learning Studio excels in scalability and integration, appealing to organizations prioritizing flexibility. In comparison, SAP Predictive Analytics provides enterprise-focused tools ideal for businesses heavily integrated into SAP ecosystems, offering powerful features for comprehensive data analysis and predictive modeling tailored to extensive enterprise needs.
Download Microsoft Azure Machine Learning Studio vs. SAP Predictive Analytics Report
Microsoft Azure Machine Learning Studio offers a flexible setup cost, while SAP Predictive Analytics requires a higher initial investment.
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Microsoft Azure Machine Learning Studio offers a flexible setup cost, while SAP Predictive Analytics requires a higher initial investment.
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IBM SPSS Statistics
4.0 out of 5
IBM SPSS Statistics offers advanced statistical tools and clear outputs, appealing to those needing quick implementation. In comparison, SAP Predictive Analytics excels in integration and scalability, attracting enterprises seeking deep analytics and seamless use within the SAP ecosystem despite higher initial costs.
Download IBM SPSS Statistics vs. SAP Predictive Analytics Report
IBM SPSS Statistics has a lower setup cost, making it more accessible upfront, while SAP Predictive Analytics requires a higher initial investment, reflecting its advanced capabilities.
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IBM SPSS Statistics has a lower setup cost, making it more accessible upfront, while SAP Predictive Analytics requires a higher initial investment, reflecting its advanced capabilities.
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IBM SPSS Modeler
4.0 out of 5
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IBM SPSS Modeler
4.0 out of 5
IBM SPSS Modeler attracts tech buyers with its user-friendly drag-and-drop interface. In comparison, SAP Predictive Analytics empowers users through automated features and extensive integration. IBM SPSS Modeler offers competitive pricing, while SAP Predictive Analytics delivers long-term analytical value despite higher initial costs.
Download IBM SPSS Modeler vs. SAP Predictive Analytics Report
IBM SPSS Modeler typically involves moderate setup costs and offers comprehensive data mining functions, whereas SAP Predictive Analytics often requires higher initial costs but provides robust integration features, highlighting significant differences in initial investment and capabili...
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IBM SPSS Modeler typically involves moderate setup costs and offers comprehensive data mining functions, whereas SAP Predictive Analytics often requires higher initial costs but provides robust integration features, highlighting significant differences in initial investment and capabili...
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H2O.ai
3.8 out of 5
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H2O.ai
3.8 out of 5
SAP Predictive Analytics offers deep integration in SAP ecosystems, ideal for SAP-centric companies. In comparison, H2O.ai provides powerful algorithms and flexibility, appealing to those seeking adaptable solutions. Tech buyers choose SAP for seamless SAP integration or H2O.ai for innovative, cross-platform capabilities.
Download H2O.ai vs. SAP Predictive Analytics Report
SAP Predictive Analytics has a straightforward setup cost, while H2O.ai offers a more flexible and scalable pricing structure, highlighting a key difference in their affordability and approachability for different organizational needs.
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Pricing
SAP Predictive Analytics has a straightforward setup cost, while H2O.ai offers a more flexible and scalable pricing structure, highlighting a key difference in their affordability and approachability for different organizational needs.

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