AWS Glue vs. IBM SPSS Modeler
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 AWS Glue | Score7.4 out of 10 | N/A | AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL. | $0.44 billed per second, 1 minute minimum |
 IBM SPSS Modeler | Score7 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 |
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| 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. | ||||||||||||||
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| AWS Glue | IBM SPSS Modeler | |
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| Likelihood to Recommend | 7.0 | 7.0 |
| Usability | 7.0 | 8.0 |
| Support Rating | 7.0 | 10.0 |