Software Alternatives, Accelerators & Startups

Apache Mahout VS Neural Designer

Compare Apache Mahout VS Neural Designer and see what are their differences

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Apache Mahout logo Apache Mahout

Distributed Linear Algebra

Neural Designer logo Neural Designer

Neural Designer is a high performance data science and machine learning platform.
  • Apache Mahout Landing page
    Landing page //
    2023-04-18
  • Neural Designer Landing page
    Landing page //
    2021-12-27

Neural Designer is a data science and machine learning platform that helps you build, train, and deploy neural network models. The tool has been created so that innovative companies and research centers focus on their applications and not on mathematical algorithms or programming techniques. With Neural Designer, there is no need to write code or build block diagrams. Instead, the interface guides you through a sequence of well-defined steps.

Neural Designer

$ Details
paid Free Trial $2495.0 / Annually
Platforms
Windows Linux Mac OSX

Apache Mahout features and specs

  • Scalability
    Apache Mahout is designed to handle large data sets, leveraging Hadoop to process data in parallel across distributed computing clusters, which allows for scaling as data size increases.
  • Library of Algorithms
    Mahout offers a substantial collection of pre-built machine learning algorithms for clustering, classification, and collaborative filtering, making it easier to implement standard ML tasks without developing them from scratch.
  • Integration with Hadoop
    Seamless integration with the Hadoop ecosystem enables Mahout to efficiently process and analyze large-scale data directly within a Hadoop cluster using MapReduce.
  • Open Source
    As an open-source project under the Apache Software Foundation, Mahout benefits from continuous improvements and community support, providing transparency and flexibility for users.
  • Focus on Math
    Mahout emphasizes mathematically sound algorithms, ensuring accuracy and robustness in machine learning models, backed by a foundation in linear algebra.

Possible disadvantages of Apache Mahout

  • Complexity
    Although powerful, Mahout can be complex and difficult to use for beginners, as it requires understanding of both Hadoop and the underlying machine learning algorithms.
  • Limited Deep Learning Capabilities
    Mahout is primarily focused on traditional machine learning techniques and lacks support for more modern deep learning frameworks, which may limit its applicability for certain advanced use cases.
  • Declining Popularity
    Although once well-regarded, Mahout has seen a decline in popularity with more users favoring newer tools such as Apache Spark's MLlib, which offer improved performance and a broader range of capabilities.
  • Setup Overhead
    Setting up and configuring a Hadoop environment to run Mahout can be a non-trivial task, requiring considerable effort and resources, particularly in smaller projects or organizations without existing Hadoop infrastructure.
  • API Inconsistency
    Over time, the API has undergone changes which can cause compatibility issues or require significant code refactoring when upgrading to newer versions of Mahout.

Neural Designer features and specs

  • User-Friendly Interface
    Neural Designer offers a graphical user interface that makes it accessible for users without extensive programming knowledge, allowing them to build, train, and deploy neural networks easily.
  • High Performance
    The software is optimized for high-performance computing, taking full advantage of multi-threading, which allows for faster data processing and model training.
  • Comprehensive Analytics
    Neural Designer provides detailed analytics tools to assist users in interpreting the results of their neural network models and improving predictive performance.
  • Wide Range of Applications
    The platform supports a variety of applications in different fields such as healthcare, marketing, engineering, and finance, offering versatility to its users.
  • Export and Integration Options
    Neural Designer allows users to export models and integrate them with other software systems, facilitating seamless workflows and deployment processes.

Possible disadvantages of Neural Designer

  • Cost
    The software might be considered expensive, particularly for individual users or small businesses, as it is primarily geared towards enterprise-level applications.
  • Limited Customization
    While the software provides a straightforward interface, it may offer limited customization options compared to open-source frameworks that allow in-depth control over neural network architectures.
  • Learning Curve
    Despite a user-friendly design, there is still a learning curve for users unfamiliar with machine learning concepts or data science terminology.
  • Resource Intensive
    Running complex models on Neural Designer can be resource-intensive, requiring substantial computational power, which might be a limitation for users with constrained hardware resources.
  • Lack of Community Support
    Compared to open-source platforms, Neural Designer may have less community-driven support and fewer online resources for troubleshooting and learning from other users' experiences.

Analysis of Neural Designer

Overall verdict

  • Neural Designer is generally viewed positively by its users, especially those in industries requiring detailed data analysis and predictive modeling. It is suitable for both beginners and experts due to its ease of use and comprehensive range of features. However, as with any tool, its effectiveness depends on the specific requirements and existing technical infrastructure of the user.

Why this product is good

  • Neural Designer is considered a powerful tool for advanced analytics due to its user-friendly interface and ability to handle complex data sets efficiently. It provides a suite of machine learning algorithms that cater to various needs, from predictive modeling to pattern recognition. Its visual design makes it accessible for users who may not have extensive programming skills, allowing them to focus on the data analysis itself.

Recommended for

    Neural Designer is recommended for data scientists, analysts, and businesses that need to process large amounts of data and build predictive models. It is particularly useful for those in fields such as finance, healthcare, and engineering, where sophisticated data analysis can provide critical insights. It is also suitable for educational purposes, helping students and educators understand machine learning concepts through practical application.

Apache Mahout videos

Apache Mahout Tutorial-1 | Apache Mahout Tutorial for Beginners-1 | Edureka

More videos:

  • Tutorial - Machine Learning with Mahout | Apache Mahout Tutorial | Edureka

Neural Designer videos

Getting started with Neural Designer

More videos:

  • Tutorial - How to model a solar farm's energy production using Neural Designer

Category Popularity

0-100% (relative to Apache Mahout and Neural Designer)
Development
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Data Science And Machine Learning
Data Dashboard
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Mahout seems to be more popular. It has been mentiond 3 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.

Apache Mahout mentions (3)

  • Apache Mahout: A Deep Dive into Open Source Innovation and Funding Models
    Apache Mahout stands as a prime example of how open source projects can thrive through community collaboration, transparent governance, and diversified funding strategies. Its integration of traditional corporate sponsorship and avant-garde blockchain tokenization demonstrates that sustainability in open source development is not only feasible but can also be dynamic and innovative. Whether you are a developer... - Source: dev.to / 3 months ago
  • In One Minute : Hadoop
    Mahout, a library of machine learning algorithms compatible with M/R paradigm. - Source: dev.to / over 2 years ago
  • 20+ Free Tools & Resources for Machine Learning
    Mahout Apache Mahout (TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. - Source: dev.to / about 3 years ago

Neural Designer mentions (0)

We have not tracked any mentions of Neural Designer yet. Tracking of Neural Designer recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Mahout and Neural Designer, you can also consider the following products

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

Apache HBase - Apache HBase – Apache HBase™ Home

Soroco Scout Platform - Scout Platform is an artificial intelligence bases process mining and execution management software, helps large enterprises, Visualize their entire process in one place with interactive task maps that allow teams to work collaboratively.

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

UiPath Process Mining - Process mining and execution management software in the cloud that is simple and affordable.