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, Microsoft Azure Machine Learning Studio, and Amazon SageMaker.
The alternatives are sorted based on how often peers compare the solutions.
SAP Alternatives Report
Learn what solutions real users are comparing with SAP, and compare use cases, valuable features, and pricing.
KNIME attracts tech buyers with its open-source nature, adaptability, and lower cost, ideal for diverse data integrations. In comparison, SAP Predictive Analytics appeals for its robust automated data preparation and advanced analytical capabilities, justifying higher costs for enterprise-level solutions.
KNIME features a cost-effective setup, appealing to businesses seeking budget-friendly solutions, while SAP Predictive Analytics involves a higher initial investment, aligning with enterprises prioritizing advanced capabilities and robust support.
KNIME features a cost-effective setup, appealing to businesses seeking budget-friendly solutions, while SAP Predictive Analytics involves a higher initial investment, aligning with enterprises prioritizing advanced capabilities and robust support.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
IBM Watson Studio, known for its affordability and strong support, excels with AI integration and data visualization tools. In comparison, SAP Predictive Analytics commands a higher price for its advanced predictive modeling and deep data exploration, catering to comprehensive analytic needs.
IBM Watson Studio has a more affordable setup cost, whereas SAP Predictive Analytics demands higher initial investment, highlighting a notable pricing difference between the two solutions.
IBM Watson Studio has a more affordable setup cost, whereas SAP Predictive Analytics demands higher initial investment, highlighting a notable pricing difference between the two solutions.
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.
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...
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...
SAP Predictive Analytics excels in pricing, support, and seamless integration, making it suitable for businesses seeking cost-effective solutions. In comparison, Domino Data Science Platform offers robust collaboration tools and advanced features, appealing to tech buyers prioritizing adaptability and comprehensive model management.
SAP Predictive Analytics typically involves higher initial setup costs, while Domino Data Science Platform is known for more budget-friendly implementation, highlighting notable differences in cost.
SAP Predictive Analytics typically involves higher initial setup costs, while Domino Data Science Platform is known for more budget-friendly implementation, highlighting notable differences in cost.
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.
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.
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.
