IBM SPSS Modeler vs. Megaladata
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 IBM SPSS Modeler | Score7.1 out of 10 | N/A | IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. | $499 per month |
 Megaladata | N/A | N/A | Megaladata is a low code platform for data analysis designed to make advanced analytics accessible. Visual design of complex data analysis models with no involvement of the IT department and no need for programming. Over 60 ready-to-use processing components. Integration with various sources. Processes large datasets through in-memory computing and parallelism. Reusable components that facilitate accumulation of business… | $0.99 per hour |
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| Entry-level Setup Fee | Optional | No setup fee | ||||||||||||||
| Additional Details | IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact. | -Community Edition (Desktop, non-commercial use): Free -Personal (Desktop): $399/year -Team (Server): $21900/year -Standard (Server): $33300/year -Enterprise (Server): $78000/year | ||||||||||||||
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| Likelihood to Recommend | 7.0 | - |
| Usability | 8.0 | - |
| Support Rating | 10.0 | - |