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Apache Software Foundation

Apache SINGA

Composite Score

7.9 /10

CX Score

7.9 /10

9 Reviews Write a Review

What is Apache SINGA?

Apache SINGA is an Apache top-level project for developing an open source machine learning library. It provides a flexible architecture for scalable distributed training, is extensible to run over a wide range of hardware, and has a focus on health-care applications.

Company Details

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Apache SINGA Ratings

Real user data aggregated to summarize the product performance and customer experience.

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 Likeliness to Recommend

100 Plan to Renew

92 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

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.

+90 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 Apache SINGA?

0% Negative

13% Neutral

87% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 88

Ensembling

Model Monitoring and Management

Data Ingestion

Data Pre-Processing

Openness and Flexibility

Data Labeling

Feature Engineering

Data Exploration and Visualization

Model Training

Performance and Scalability

Algorithm Recommendation

Vendor Capability Ratings

Average 84

Ease of Data Integration

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Breadth of Features

Business Value Created

Product Strategy and Rate of Improvement

Quality of Features

Vendor Support

Ease of Customization

Ease of IT Administration

Apache SINGA Reviews

Shivam M.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Best tool in the current market

Likeliness to Recommend

9 /10

What differentiates Apache SINGA from other similar products?

Cost effective/ User friendly approach.

What is your favorite aspect of this product?

User Interface is quite cool.

What do you dislike most about this product?

For smaller companies, cost can be a negative point.

What recommendations would you give to someone considering this product?

A tleast, try once.

Pros

Continually Improving Product
Reliable
Inspires Innovation
Appreciates Incumbent Status

Cons

Less Productive
Commodity Features
Less Friendly Negotiation

Akshika V.

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

Validated Review

Verified Reviewer

Submitted Dec 2022

The Debug Control You Required For Your Code

Likeliness to Recommend

9 /10

What differentiates Apache SINGA from other similar products?

We may efficiently utilize it as a frame to track project flow and execution. It is simple to integrate with the application. It generates different log files on a daily basis, making it easier to comprehend and search for any given record. It features several modes, including info, debugs, and errors, making it simple to view logs.

What is your favorite aspect of this product?

It would be really beneficial if I could obtain the logging event as well as the parameters while messages are being logged. I also enjoy the adaptor feature when using it in conjunction with other logging services.

What do you dislike most about this product?

There is nothing to complain about it because it makes it easy for developers and apps to govern and store their apps' behavior without the risk of losing data.

What recommendations would you give to someone considering this product?

It gives us control over a class to limit what we want, from setting up the timestamp to printing the stack trace of an error that occurred. Furthermore, it is safe and secure and can be used in production code, allowing us to debug any issue or check the performance of our application in a safe and descriptive manner.

Pros

Continually Improving Product
Reliable
Efficient Service
Effective Service

How We Deliver

Apache SINGA

What is Apache SINGA?

Company Details

Need Assistance?

Apache SINGA Ratings

96 Likeliness to Recommend

100 Plan to Renew

92 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love Apache SINGA?

Pros

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

Ensembling 'Ability to combine ML models for best results.

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

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.

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

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

Data Labeling Ability to annotate/ label data to create a training data set.

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

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

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

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

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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

Apache SINGA Reviews

Shivam M.

Best tool in the current market

Likeliness to Recommend

Pros

Cons

Akshika V.

The Debug Control You Required For Your Code

Likeliness to Recommend

Pros

Title

Feature Ratings

Ensembling

Model Monitoring and Management

Data Ingestion

Data Pre-Processing

Openness and Flexibility

Data Labeling

Feature Engineering

Data Exploration and Visualization

Model Training

Performance and Scalability

Algorithm Recommendation

Vendor Capability Ratings

Ease of Data Integration

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Breadth of Features

Business Value Created

Product Strategy and Rate of Improvement

Quality of Features

Vendor Support

Ease of Customization

Ease of IT Administration