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Best Machine Learning Software - Page 4

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Researched and written by Matthew Miller

Machine learning software automates tasks for users by leveraging an algorithm to produce an output. These solutions are typically embedded into various platforms and have use cases across a wide variety of industries. Machine learning solutions improve the speed and accuracy of desired outputs by constantly refining them as the application digests more training data. Machine learning software improves processes and introduces efficiency to multiple industries, ranging from financial services to agriculture. Machine learning applications include process automation, customer service, security risk identification, and contextual collaboration.

Notably, end users of machine learning-powered applications do not interact with the algorithm directly. Rather, machine learning powers the backend of the artificial intelligence (AI) that users interact with. Some prime examples of this include chatbots software and automated insurance claims management software

To qualify for inclusion in the Machine Learning category, a product must:

Offer an algorithm or product that learns and adapts based on data
Be the source of intelligent learning capabilities for applications
Consume data inputs from a variety of data pools
Provide an output that solves a specific issue based on the learned data

Best Machine Learning Software At A Glance

Leader:
Highest Performer:
Best Contender:
Most Niche:
Most Trending:
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Best Contender:
Most Niche:
Most Trending:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
226 Listings in Machine Learning Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Vivas.AI is a one-stop marketplace to access a wide range of AI models for various use cases across industries. Vivas.AI shifts the balance of power from ML engineers toward application engineers. A

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Vivas.AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Technology
    2
    Analytics
    1
    Features
    1
    Machine Learning
    1
    Model Variety
    1
    Cons
    Expensive
    1
    Poor Customer Support
    1
    Poor Interface Design
    1
    Slow Loading
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vivas.AI features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Vivas.AI
    Year Founded
    2022
    HQ Location
    Chennai, IN
    Twitter
    @vivas_ai
    5 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Vivas.AI is a one-stop marketplace to access a wide range of AI models for various use cases across industries. Vivas.AI shifts the balance of power from ML engineers toward application engineers. A

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Vivas.AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Technology
2
Analytics
1
Features
1
Machine Learning
1
Model Variety
1
Cons
Expensive
1
Poor Customer Support
1
Poor Interface Design
1
Slow Loading
1
Vivas.AI features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.8
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
9.2
Ease of Admin
Average: 8.6
Seller Details
Seller
Vivas.AI
Year Founded
2022
HQ Location
Chennai, IN
Twitter
@vivas_ai
5 Twitter followers
LinkedIn® Page
www.linkedin.com
5 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming envi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Mid-Market
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mahout features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.1
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    7.6
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,245 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming envi

Users
No information available
Industries
No information available
Market Segment
  • 46% Mid-Market
  • 31% Enterprise
Mahout features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
7.1
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
7.6
Ease of Admin
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,245 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Machine Learning Toolkit for Kubernetes

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 45% Small-Business
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Charmed Kubeflow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Storage
    1
    Ease of Use
    1
    Cons
    Complex Implementation
    1
    Complex Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Charmed Kubeflow features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Ease of Use
    Average: 8.4
    7.3
    Quality of Support
    Average: 8.4
    6.7
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kubeflow
    Year Founded
    2017
    HQ Location
    Sunnyvale, US
    Twitter
    @kubeflow
    6,351 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Machine Learning Toolkit for Kubernetes

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 45% Small-Business
  • 40% Enterprise
Charmed Kubeflow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Storage
1
Ease of Use
1
Cons
Complex Implementation
1
Complex Setup
1
Charmed Kubeflow features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
7.5
Ease of Use
Average: 8.4
7.3
Quality of Support
Average: 8.4
6.7
Ease of Admin
Average: 8.6
Seller Details
Seller
Kubeflow
Year Founded
2017
HQ Location
Sunnyvale, US
Twitter
@kubeflow
6,351 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spotfire is the visual data science platform designed to help users analyze and interpret complex data through interactive visualizations and advanced analytics. This solution caters to professionals

    Users
    • Student
    • Manager
    Industries
    • Oil & Energy
    • Information Technology and Services
    Market Segment
    • 53% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Spotfire Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    41
    Data Visualization
    35
    Insights
    23
    Visualization
    23
    Features
    19
    Cons
    Learning Curve
    26
    Expensive
    19
    Learning Difficulty
    17
    Complexity
    13
    Limitations
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spotfire features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Ease of Use
    Average: 8.4
    7.8
    Quality of Support
    Average: 8.4
    7.7
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    Fort Lauderdale, FL
    Twitter
    @cloudsoftware
    107 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11,289 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spotfire is the visual data science platform designed to help users analyze and interpret complex data through interactive visualizations and advanced analytics. This solution caters to professionals

Users
  • Student
  • Manager
Industries
  • Oil & Energy
  • Information Technology and Services
Market Segment
  • 53% Enterprise
  • 25% Mid-Market
Spotfire Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
41
Data Visualization
35
Insights
23
Visualization
23
Features
19
Cons
Learning Curve
26
Expensive
19
Learning Difficulty
17
Complexity
13
Limitations
12
Spotfire features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
8.1
Ease of Use
Average: 8.4
7.8
Quality of Support
Average: 8.4
7.7
Ease of Admin
Average: 8.6
Seller Details
Company Website
HQ Location
Fort Lauderdale, FL
Twitter
@cloudsoftware
107 Twitter followers
LinkedIn® Page
www.linkedin.com
11,289 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Recommender is a tool that analyzes the the feedback of some users (implicit and explicit) and their preferences for some items to learns patterns and predicts the most suitable products for a particu

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Mid-Market
    • 27% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Recommender features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.6
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,687,682 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Recommender is a tool that analyzes the the feedback of some users (implicit and explicit) and their preferences for some items to learns patterns and predicts the most suitable products for a particu

Users
No information available
Industries
No information available
Market Segment
  • 45% Mid-Market
  • 27% Enterprise
Recommender features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
9.6
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.3
Ease of Admin
Average: 8.6
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,687,682 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ganitha is an open-source library (derived from the Sanskrit word for mathematics, or science of computation) is a Scalding library with a focus on machine-learning and statistical analysis.

    Users
    No information available
    Industries
    • Marketing and Advertising
    Market Segment
    • 80% Mid-Market
    • 20% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Ganitha Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Big Data
    4
    Model Variety
    4
    Integrations
    3
    Productivity Improvement
    3
    Cons
    Poor Documentation
    3
    Difficult Learning
    2
    Lagging Issues
    1
    Learning Curve
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Ganitha features and usability ratings that predict user satisfaction
    0.0
    No information available
    6.7
    Ease of Use
    Average: 8.4
    6.5
    Quality of Support
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Charlotte, NC
    LinkedIn® Page
    www.linkedin.com
    38 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ganitha is an open-source library (derived from the Sanskrit word for mathematics, or science of computation) is a Scalding library with a focus on machine-learning and statistical analysis.

Users
No information available
Industries
  • Marketing and Advertising
Market Segment
  • 80% Mid-Market
  • 20% Small-Business
Ganitha Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Big Data
4
Model Variety
4
Integrations
3
Productivity Improvement
3
Cons
Poor Documentation
3
Difficult Learning
2
Lagging Issues
1
Learning Curve
1
Limited Customization
1
Ganitha features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Ease of Use
Average: 8.4
6.5
Quality of Support
Average: 8.4
0.0
No information available
Seller Details
Year Founded
2011
HQ Location
Charlotte, NC
LinkedIn® Page
www.linkedin.com
38 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pattern Recognition and Machine Learning is a Matlab implementation of the algorithms.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 27% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Patern Recognition and Machine Learning Toolbox features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    7.6
    Ease of Use
    Average: 8.4
    7.6
    Quality of Support
    Average: 8.4
    8.9
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @michigangraham
    117 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

Pattern Recognition and Machine Learning is a Matlab implementation of the algorithms.

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 27% Enterprise
Patern Recognition and Machine Learning Toolbox features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
7.6
Ease of Use
Average: 8.4
7.6
Quality of Support
Average: 8.4
8.9
Ease of Admin
Average: 8.6
Seller Details
HQ Location
N/A
Twitter
@michigangraham
117 Twitter followers
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Breeze is a numerical processing library for Scala.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Beeze features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    7.3
    Ease of Use
    Average: 8.4
    7.1
    Quality of Support
    Average: 8.4
    7.9
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ScalaNLP
    HQ Location
    N/A
    Twitter
    @ScalaNLP
    196 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

Breeze is a numerical processing library for Scala.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Beeze features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
7.3
Ease of Use
Average: 8.4
7.1
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.6
Seller Details
Seller
ScalaNLP
HQ Location
N/A
Twitter
@ScalaNLP
196 Twitter followers
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    rapaio is a statistics, data mining and machine learning toolbox

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • rapaio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Intuitive
    2
    Machine Learning
    2
    Analytics
    1
    Customer Support
    1
    Cons
    AI Limitations
    1
    Difficult Learning
    1
    Difficulty for Beginners
    1
    Limited Diversity
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • rapaio features and usability ratings that predict user satisfaction
    5.0
    Has the product been a good partner in doing business?
    Average: 8.8
    7.7
    Ease of Use
    Average: 8.4
    6.9
    Quality of Support
    Average: 8.4
    5.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    rapaio
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

rapaio is a statistics, data mining and machine learning toolbox

Users
No information available
Industries
No information available
Market Segment
  • 60% Small-Business
  • 40% Mid-Market
rapaio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Intuitive
2
Machine Learning
2
Analytics
1
Customer Support
1
Cons
AI Limitations
1
Difficult Learning
1
Difficulty for Beginners
1
Limited Diversity
1
Missing Features
1
rapaio features and usability ratings that predict user satisfaction
5.0
Has the product been a good partner in doing business?
Average: 8.8
7.7
Ease of Use
Average: 8.4
6.9
Quality of Support
Average: 8.4
5.8
Ease of Admin
Average: 8.6
Seller Details
Seller
rapaio
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MLKit is a machine learning framework written in Swift that features machine learning algorithms that deal with the topic of regression to provide developers with a toolkit to create products that can

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MLKit Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Integrations
    3
    Model Variety
    3
    Documentation
    1
    Features
    1
    Cons
    Expensive
    1
    Inaccuracy
    1
    Limited Capacity
    1
    Limited Diversity
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLKit features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.3
    Ease of Use
    Average: 8.4
    9.2
    Quality of Support
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLKit
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

MLKit is a machine learning framework written in Swift that features machine learning algorithms that deal with the topic of regression to provide developers with a toolkit to create products that can

Users
No information available
Industries
No information available
Market Segment
  • 46% Small-Business
  • 31% Mid-Market
MLKit Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Integrations
3
Model Variety
3
Documentation
1
Features
1
Cons
Expensive
1
Inaccuracy
1
Limited Capacity
1
Limited Diversity
1
Limited Features
1
MLKit features and usability ratings that predict user satisfaction
0.0
No information available
9.3
Ease of Use
Average: 8.4
9.2
Quality of Support
Average: 8.4
0.0
No information available
Seller Details
Seller
MLKit
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more dat

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 44% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Neo4j Graph Data Science Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Problem Solving
    2
    AI Capabilities
    1
    Customer Support
    1
    Data Analysis
    1
    Documentation
    1
    Cons
    Beginner Difficulty
    1
    Cost Issues
    1
    Difficult Learning
    1
    Difficulty for Beginners
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neo4j Graph Data Science features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2007
    HQ Location
    San Mateo, CA
    Twitter
    @neo4j
    46,379 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    920 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more dat

Users
No information available
Industries
No information available
Market Segment
  • 44% Mid-Market
  • 38% Small-Business
Neo4j Graph Data Science Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Problem Solving
2
AI Capabilities
1
Customer Support
1
Data Analysis
1
Documentation
1
Cons
Beginner Difficulty
1
Cost Issues
1
Difficult Learning
1
Difficulty for Beginners
1
Expensive
1
Neo4j Graph Data Science features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
8.5
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.3
Ease of Admin
Average: 8.6
Seller Details
Year Founded
2007
HQ Location
San Mateo, CA
Twitter
@neo4j
46,379 Twitter followers
LinkedIn® Page
www.linkedin.com
920 employees on LinkedIn®
(1,188)4.5 out of 5
View top Consulting Services for Phrase Localization Platform
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Entry Level Price:$27.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Phrase Localization Platform is a unique, AI-powered language platform that integrates translation, scoring, and automation tools in one place for businesses and language service providers. It off

    Users
    • Translator
    • Freelance Translator
    Industries
    • Translation and Localization
    • Computer Software
    Market Segment
    • 59% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Phrase Localization Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    354
    Intuitive
    167
    Translation Efficiency
    152
    Translation Services
    139
    Features
    130
    Cons
    Translation Issues
    88
    Interface Issues
    67
    Missing Features
    50
    Poor Interface Design
    46
    Poor Usability
    44
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Phrase Localization Platform features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    8.7
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Phrase
    Company Website
    Year Founded
    2010
    HQ Location
    Hamburg, Germany
    LinkedIn® Page
    www.linkedin.com
    367 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Phrase Localization Platform is a unique, AI-powered language platform that integrates translation, scoring, and automation tools in one place for businesses and language service providers. It off

Users
  • Translator
  • Freelance Translator
Industries
  • Translation and Localization
  • Computer Software
Market Segment
  • 59% Small-Business
  • 27% Mid-Market
Phrase Localization Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
354
Intuitive
167
Translation Efficiency
152
Translation Services
139
Features
130
Cons
Translation Issues
88
Interface Issues
67
Missing Features
50
Poor Interface Design
46
Poor Usability
44
Phrase Localization Platform features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
9.0
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
8.7
Ease of Admin
Average: 8.6
Seller Details
Seller
Phrase
Company Website
Year Founded
2010
HQ Location
Hamburg, Germany
LinkedIn® Page
www.linkedin.com
367 employees on LinkedIn®
(514)4.3 out of 5
View top Consulting Services for SAP HANA Cloud
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

    Users
    • Consultant
    • SAP Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 64% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP HANA Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    13
    Cloud Computing
    9
    Features
    9
    Cloud Services
    8
    Easy Integrations
    8
    Cons
    Expensive
    9
    Complexity
    7
    Learning Curve
    7
    Complex Implementation
    5
    Learning Difficulty
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP HANA Cloud features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Ease of Use
    Average: 8.4
    8.0
    Quality of Support
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,396 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

Users
  • Consultant
  • SAP Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 64% Enterprise
  • 23% Mid-Market
SAP HANA Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
13
Cloud Computing
9
Features
9
Cloud Services
8
Easy Integrations
8
Cons
Expensive
9
Complexity
7
Learning Curve
7
Complex Implementation
5
Learning Difficulty
5
SAP HANA Cloud features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
8.1
Ease of Use
Average: 8.4
8.0
Quality of Support
Average: 8.4
7.8
Ease of Admin
Average: 8.6
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,396 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataloop Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    Annotation Efficiency
    14
    Data Management
    14
    Annotation Tools
    13
    Efficiency
    11
    Cons
    Performance Issues
    9
    Lagging Issues
    8
    Difficult Learning
    7
    Slow Performance
    7
    Slow Loading
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataloop features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataloop
    Year Founded
    2017
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    77 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Dataloop Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
Annotation Efficiency
14
Data Management
14
Annotation Tools
13
Efficiency
11
Cons
Performance Issues
9
Lagging Issues
8
Difficult Learning
7
Slow Performance
7
Slow Loading
6
Dataloop features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
8.8
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
8.8
Ease of Admin
Average: 8.6
Seller Details
Seller
Dataloop
Year Founded
2017
HQ Location
Herzliya, IL
LinkedIn® Page
www.linkedin.com
77 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, and DICOM files on one unified platform whi

    Users
    No information available
    Industries
    • Computer Software
    • Hospital & Health Care
    Market Segment
    • 52% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Encord Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    18
    Annotation Efficiency
    15
    Annotation Tools
    14
    Data Labeling
    10
    Image Segmentation
    10
    Cons
    Missing Features
    10
    Performance Issues
    7
    Lacking Features
    5
    Lagging Issues
    5
    Latency Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Encord features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.8
    9.5
    Ease of Use
    Average: 8.4
    10.0
    Quality of Support
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Encord
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @encord_team
    605 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    85 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, and DICOM files on one unified platform whi

Users
No information available
Industries
  • Computer Software
  • Hospital & Health Care
Market Segment
  • 52% Small-Business
  • 40% Mid-Market
Encord Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
18
Annotation Efficiency
15
Annotation Tools
14
Data Labeling
10
Image Segmentation
10
Cons
Missing Features
10
Performance Issues
7
Lacking Features
5
Lagging Issues
5
Latency Issues
5
Encord features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.8
9.5
Ease of Use
Average: 8.4
10.0
Quality of Support
Average: 8.4
7.8
Ease of Admin
Average: 8.6
Seller Details
Seller
Encord
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@encord_team
605 Twitter followers
LinkedIn® Page
www.linkedin.com
85 employees on LinkedIn®