Top 10 IBM SPSS Modeler Alternatives & Competitors

Top 10 Alternatives to IBM SPSS Modeler Recently Reviewed By G2 Community

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Alteryx
By Alteryx
4.6/5
(671)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Reviewers say compared to IBM SPSS Modeler, Alteryx is:
Easier to do business with
Better at support
Better at meeting requirements
Categories in common with IBM SPSS Modeler:
Predictive Analytics
Data Science and Machine Learning Platforms

Altair AI Studio
By Altair
4.6/5
(511)
Product Description
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
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Reviewers say compared to IBM SPSS Modeler, Altair AI Studio is:
Easier to set up
Easier to do business with
Better at support
Categories in common with IBM SPSS Modeler:
Predictive Analytics
Data Science and Machine Learning Platforms

KNIME Software
By KNIME
4.4/5
(69)
Product Description
KNIME helps individuals and organizations make sense of their data. KNIME bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and ML techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies. Headquartered in Zurich, KNIME has offices in Austin, TX, Konstanz, and Berlin.
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Reviewers say compared to IBM SPSS Modeler, KNIME Software is:
Better at support
Better at meeting requirements
Easier to set up
Categories in common with IBM SPSS Modeler:
Predictive Analytics
Data Science and Machine Learning Platforms
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SAS Enterprise Miner
By SAS Institute Inc.
4.2/5
(192)
Product Description
SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users. Key Features and Functionality: - User-Friendly Interface: An interactive GUI allows users to build process flow diagrams, simplifying the modeling process. - Advanced Data Preparation: Tools for handling missing values, filtering outliers, and performing data transformations enhance data quality. - Diverse Modeling Techniques: Supports a wide range of algorithms, including decision trees, neural networks, and regression models, catering to various analytical needs. - Open Source Integration: Seamless integration with R enables users to perform data transformations and model training within the platform. - High-Performance Capabilities: Incorporates high-performance data mining nodes to boost processing efficiency. - Automated Scoring: Generates score code in multiple languages (SAS, C, Java, PMML) for deployment across various environments. - Model Comparison and Management: Features for comparing multiple models using lift curves and statistical diagnostics to identify the best-performing models. Primary Value and Solutions Provided: SAS Enterprise Miner empowers organizations to harness the full potential of their data by providing a robust platform for developing accurate predictive models. It addresses challenges such as fraud detection, risk minimization, resource demand forecasting, and customer attrition reduction. By automating and simplifying complex data mining tasks, it enables users to make informed, data-driven decisions, ultimately enhancing operational efficiency and competitive advantage.
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Reviewers say compared to IBM SPSS Modeler, SAS Enterprise Miner is:
More expensive
Better at meeting requirements
Better at support
Categories in common with IBM SPSS Modeler:
Predictive Analytics
Data Science and Machine Learning Platforms

Posit
By Posit
4.5/5
(567)
Product Description
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.
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Reviewers say compared to IBM SPSS Modeler, Posit is:
Better at meeting requirements
Easier to set up
Easier to do business with
Categories in common with IBM SPSS Modeler:
Data Science and Machine Learning Platforms

SAP Analytics Cloud
By SAP
4.2/5
(869)
Product Description
SAP Analytics Cloud is a multi-cloud solution built for software as a service (SaaS) that provides all analytics and planning capabilities – business intelligence (BI), augmented and predictive analytics, and extended planning and analysis – for all users in one offering.
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Reviewers say compared to IBM SPSS Modeler, SAP Analytics Cloud is:
Better at support
Categories in common with IBM SPSS Modeler:
Predictive Analytics

Tableau
By Salesforce
4.4/5
(3,512)
Product Description
Tableau Server is a business intelligence application that provides browser-based analytics anyone can learn and use.
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Reviewers say compared to IBM SPSS Modeler, Tableau is:
Better at meeting requirements
Better at support
Easier to do business with
Categories in common with IBM SPSS Modeler:
Predictive Analytics

MATLAB
By MathWorks
4.5/5
(766)
Product Description
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.
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Reviewers say compared to IBM SPSS Modeler, MATLAB is:
Better at meeting requirements
Better at support
Easier to set up
Categories in common with IBM SPSS Modeler:
Data Science and Machine Learning Platforms

Amazon QuickSight
By Amazon Web Services (AWS)
4.3/5
(683)
Product Description
Amazon QuickSight is a cloud-based business intelligence (BI) service that help employees to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data.
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Reviewers say compared to IBM SPSS Modeler, Amazon QuickSight is:
Better at support
Easier to set up
Easier to admin
Categories in common with IBM SPSS Modeler:
Predictive Analytics

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