Eclipse Foundation Inc

Eclipse Deeplearning4j

Composite Score

7.8 /10

CX Score

8.0 /10

13 Reviews Write a Review

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What is Eclipse Deeplearning4j?

Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.

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Eclipse Deeplearning4j Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Eclipse Deeplearning4j.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

89 Likeliness to Recommend

2
Since last award

87 Plan to Renew

6
Since last award

87 Satisfaction of Cost Relative to Value

1
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

100

Service Experience

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Emotional Footprint Overview

Product Experience:: 99%
Negotiation and Contract:: 92%
Conflict Resolution:: 96%
Strategy & Innovation:: 97%
Service Experience:: 100%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+96 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Eclipse Deeplearning4j?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 82

Performance and Scalability

Data Pre-Processing

Model Tuning

Openness and Flexibility

Data Exploration and Visualization

Data Ingestion

Feature Engineering

Pre-Packaged AI/ML Services

Ensembling

Model Training

Model Monitoring and Management

Vendor Capability Ratings

Average 82

Ease of Customization

Quality of Features

Vendor Support

Business Value Created

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of Implementation

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration

Eclipse Deeplearning4j Reviews

HARSHIL R.

Role: Information Technology
Industry: Engineering
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2025

Fantastic

Likeliness to Recommend

10 /10

What differentiates Eclipse Deeplearning4j from other similar products?

Eclipse Deeplearning4j differentiates itself with its scalable, distributed, and modular architecture, native Java integration, and support for GPU acceleration, making it a unique deep learning solution for enterprise environments.

What is your favorite aspect of this product?

The ability to seamlessly integrate deep learning capabilities with Java-based applications, enabling developers to build scalable and efficient AI-powered solutions without requiring extensive knowledge of other programming languages.

What do you dislike most about this product?

The relatively steep learning curve, particularly for developers without prior experience in deep learning or neural networks, which can make it challenging to fully leverage the product's capabilities.

What recommendations would you give to someone considering this product?

Thoroughly evaluate your project's requirements, assess your team's expertise in Java and deep learning, and start with small-scale proof-of-concepts to ensure successful adoption and effective utilization of Deeplearning4j's capabilities.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Less Friendly Negotiation

Niharika M.

Role: Information Technology
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2024

best for learning deep learning model

Likeliness to Recommend

10 /10

What differentiates Eclipse Deeplearning4j from other similar products?

easy to learn deep learning terms and other deployment parts as well.

What is your favorite aspect of this product?

the model training and collaborating with the real time performance.

What do you dislike most about this product?

nothing to dislike, but pricing it'll occur anyway. I'm good

What recommendations would you give to someone considering this product?

i'll recommend it to all my friends and corporates too.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Maria Q.

Role: Sales Marketing
Industry: Other
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Dec 2022

A partner in our fundraising success

Likeliness to Recommend

9 /10

What differentiates Eclipse Deeplearning4j from other similar products?

I like the option that allows you to open multiple projects in different windows at once. The code editor is simply amazing as we can view multiple files at once. The large amount of extensions available are the best part after the intuitiveness of the product. The capabilities of the product are not limited for developers coming from any background. Editor is super intuitive with debugging controls, themes, key mapping makes it more powerful.

What is your favorite aspect of this product?

The interface is easy to use and the design is clean. It is very light on computing resources, particularly memory, which a developer can use elsewhere, it is just an amazing tool and helped me a lot when developing and debugging big data pipelines. It is very fast and I also like that it allows you to connect to GitHub without having to use the command line to update and version control the code on GitHub.

What do you dislike most about this product?

Some settings are not very easy to toggle. For some extensions, configuration is not so easy as they require changes to the configuration file, which can be difficult for novice users. Sometimes, some configurations can be hard to find as there are so many.

What recommendations would you give to someone considering this product?

I love how accessible this software is. When you don't have a lot of time to devote to learning a new program, for the most part, this is extremely intuitive and you can learn as you go, and in nonprofits where things move very fast, it has made digital giving extremely accessible and easy to use.

Pros

Helps Innovate
Continually Improving Product
Trustworthy
Inspires Innovation

Eclipse Deeplearning4j

What is Eclipse Deeplearning4j?

Company Details

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Eclipse Deeplearning4j Ratings

89 Likeliness to Recommend

2 Since last award

87 Plan to Renew

6 Since last award

87 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+96 Net Emotional Footprint

How much do users love Eclipse Deeplearning4j?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Feature Engineering Ability to extract and build features from raw data.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Ensembling 'Ability to combine ML models for best results.

Model Training Ability to train a model with a range of data sets that you provide.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Eclipse Deeplearning4j Reviews

HARSHIL R.

Fantastic

Likeliness to Recommend

Pros

Cons

Niharika M.

best for learning deep learning model

Likeliness to Recommend

Pros

Maria Q.

A partner in our fundraising success

Likeliness to Recommend

Pros

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Feature Ratings

Performance and Scalability

Data Pre-Processing

Model Tuning

Openness and Flexibility

Data Exploration and Visualization

Data Ingestion

Feature Engineering

Pre-Packaged AI/ML Services

Ensembling

Model Training

Model Monitoring and Management

Vendor Capability Ratings

Ease of Customization

Quality of Features

Vendor Support

Business Value Created

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of Implementation

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration