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BigML VS IBM SPSS Modeler

Compare BigML VS IBM SPSS Modeler and see what are their differences

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BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

IBM SPSS Modeler logo IBM SPSS Modeler

IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.
  • BigML Landing page
    Landing page //
    2022-10-08
  • IBM SPSS Modeler Landing page
    Landing page //
    2023-03-30

BigML features and specs

  • User-Friendly Interface
    BigML offers an intuitive web-based interface that makes it easy for users to build and deploy machine learning models without deep technical knowledge.
  • Wide Range of Algorithms
    It supports various machine learning algorithms, including regression, classification, clustering, and anomaly detection, catering to diverse use cases.
  • Ease of Integration
    BigML provides robust API support, allowing seamless integration with other applications and systems for streamlined workflows.
  • Visualization Tools
    The platform includes powerful visualization tools that help in understanding data, model performance, and results, aiding in better decision-making.
  • Scalability
    BigML's cloud-based infrastructure allows it to scale easily, handling large datasets and complex models efficiently.
  • Automated Workflows
    It offers automation features like WhizzML for creating automated workflows and advanced scripts, making repetitive tasks simpler.

Possible disadvantages of BigML

  • Cost
    The pricing structure can be a limiting factor for startups or individual users, especially when dealing with large amounts of data.
  • Limited Customization
    While the platform offers many pre-built algorithms, there is limited scope for customization compared to building models from scratch using open-source libraries.
  • Learning Curve
    Despite its user-friendly design, there can be a learning curve for those unfamiliar with machine learning concepts, particularly for advanced features.
  • Dependency on Internet
    As a cloud-based service, users need a reliable internet connection to access and utilize BigML's features, which can be a drawback in areas with poor connectivity.
  • Data Privacy Concerns
    Using a cloud-based service can raise data privacy and security concerns, particularly for sensitive or proprietary data.

IBM SPSS Modeler features and specs

  • User-Friendly Interface
    IBM SPSS Modeler offers a highly intuitive and user-friendly drag-and-drop interface, making it accessible for users without extensive programming knowledge.
  • Comprehensive Data Handling
    The platform supports a wide range of data formats and provides comprehensive data preparation and processing capabilities, allowing users to efficiently handle large and diverse datasets.
  • Advanced Analytics and Machine Learning
    SPSS Modeler provides a broad range of statistical and machine learning algorithms, enabling users to perform complex analyses and derive insights from their data.
  • Integration Capabilities
    It integrates well with other IBM products and services as well as various third-party tools, facilitating a seamless data workflow across applications.
  • Scalability
    The tool is designed to scale from a single user to large enterprises, allowing for deployment in various environments, including cloud, on-premises, and hybrid.

Possible disadvantages of IBM SPSS Modeler

  • Cost
    IBM SPSS Modeler can be expensive, particularly for small businesses or individual users, as it often requires a significant investment in licensing fees.
  • Learning Curve
    While the interface is user-friendly, mastering all the features and functionalities can take time and may require additional training, especially for users new to data science.
  • Performance Limitations
    Some users may experience performance limitations with extremely large datasets or complex modeling tasks, which can lead to longer processing times.
  • Customization Constraints
    Despite its robust features, SPSS Modeler may not offer the same level of customization and flexibility as some open-source alternatives, which might be limiting for advanced users with specific needs.
  • Dependency on IBM Ecosystem
    Organizations heavily relying on SPSS Modeler might find themselves tied to the IBM ecosystem, which could be a constraint if they decide to explore other platforms or tools in the future.

BigML videos

+ Add

BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

IBM SPSS Modeler videos

+ Add

IBM SPSS Modeler 18.2 and The New User Interface

More videos:

  • Review - Improve forecasting accuracy with IBM Planning Analytics and IBM SPSS Modeler

Category Popularity

0-100% (relative to BigML and IBM SPSS Modeler)

BigML

IBM SPSS Modeler

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Numerical Computation
0 0%
Numerical Computation
100% 100

User comments

Share your experience with using BigML and IBM SPSS Modeler. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, BigML seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com — Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / almost 4 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: almost 4 years ago

IBM SPSS Modeler mentions (0)

We have not tracked any mentions of IBM SPSS Modeler yet. Tracking of IBM SPSS Modeler recommendations started around Mar 2021.

What are some alternatives?

When comparing BigML and IBM SPSS Modeler, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

SAS Advanced Analytics - SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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