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Best Enterprise MLOps Platforms

Blue Bowen
BB
Researched and written by Blue Bowen

Products classified in the overall MLOps Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business MLOps Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business MLOps Platforms category.

In addition to qualifying for inclusion in the MLOps Platforms category, to qualify for inclusion in the Enterprise Business MLOps Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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.

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18 Listings in Enterprise MLOps Platforms Available

(593)4.3 out of 5
6th Easiest To Use in MLOps Platforms software
View top Consulting Services for Vertex AI
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Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, a

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 41% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Vertex 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
    Ease of Use
    184
    Model Variety
    133
    Features
    128
    Machine Learning
    126
    Integrations
    99
    Cons
    Expensive
    82
    Complexity
    57
    Learning Curve
    57
    Complexity Issues
    52
    Difficult Learning
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vertex AI features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.8
    8.8
    Scalability
    Average: 8.9
    8.2
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, a

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 41% Small-Business
  • 33% Enterprise
Vertex 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
Ease of Use
184
Model Variety
133
Features
128
Machine Learning
126
Integrations
99
Cons
Expensive
82
Complexity
57
Learning Curve
57
Complexity Issues
52
Difficult Learning
39
Vertex AI features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
8.2
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.7
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(626)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in MLOps Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence 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
    Features
    265
    Ease of Use
    254
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    100
    Expensive
    86
    Steep Learning Curve
    86
    Missing Features
    62
    UX Improvement
    58
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.8
    8.9
    Scalability
    Average: 8.9
    8.7
    Metrics
    Average: 8.7
    8.8
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    83,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence 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
Features
265
Ease of Use
254
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
100
Expensive
86
Steep Learning Curve
86
Missing Features
62
UX Improvement
58
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.9
Scalability
Average: 8.9
8.7
Metrics
Average: 8.7
8.8
Framework Flexibility
Average: 8.7
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
83,849 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

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(17)4.6 out of 5
View top Consulting Services for Microsoft Fabric
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Microsoft Fabric is an end-to-end data platform that addresses every aspect of an organization’s analytics needs. Empower your data teams and business users with all the tools they need in a unifie

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 59% Enterprise
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Microsoft Fabric 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
    Features
    3
    AI Capabilities
    1
    Analytics
    1
    Data Management
    1
    Cons
    Expensive
    2
    Lack of Guidance
    2
    Complexity
    1
    Learning Curve
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft Fabric features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.8
    9.1
    Scalability
    Average: 8.9
    8.9
    Metrics
    Average: 8.7
    9.2
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Microsoft Fabric is an end-to-end data platform that addresses every aspect of an organization’s analytics needs. Empower your data teams and business users with all the tools they need in a unifie

Users
No information available
Industries
No information available
Market Segment
  • 59% Enterprise
  • 24% Small-Business
Microsoft Fabric 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
Features
3
AI Capabilities
1
Analytics
1
Data Management
1
Cons
Expensive
2
Lack of Guidance
2
Complexity
1
Learning Curve
1
Limited Customization
1
Microsoft Fabric features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.8
9.1
Scalability
Average: 8.9
8.9
Metrics
Average: 8.7
9.2
Framework Flexibility
Average: 8.7
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(45)4.3 out of 5
15th Easiest To Use in MLOps Platforms software
View top Consulting Services for Amazon SageMaker
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes al

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 33% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon SageMaker 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
    Features
    4
    AI Integration
    3
    Easy Integrations
    3
    Integrations
    3
    AI Capabilities
    2
    Cons
    Expensive
    4
    Complexity
    2
    Complexity Issues
    2
    Complex Interface
    1
    Cost
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon SageMaker features and usability ratings that predict user satisfaction
    8.4
    Ease of Use
    Average: 8.8
    9.4
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes al

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 33% Mid-Market
  • 33% Enterprise
Amazon SageMaker 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
Features
4
AI Integration
3
Easy Integrations
3
Integrations
3
AI Capabilities
2
Cons
Expensive
4
Complexity
2
Complexity Issues
2
Complex Interface
1
Cost
1
Amazon SageMaker features and usability ratings that predict user satisfaction
8.4
Ease of Use
Average: 8.8
9.4
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(88)4.3 out of 5
11th Easiest To Use in MLOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Machine Learning 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
    7
    Efficiency
    5
    Features
    5
    Easy Integrations
    3
    Implementation Ease
    3
    Cons
    Learning Curve
    4
    UX Improvement
    3
    Difficult Navigation
    2
    Expensive
    2
    Integration Difficulty
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.8
    9.2
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    9.2
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 34% Small-Business
Azure Machine Learning 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
7
Efficiency
5
Features
5
Easy Integrations
3
Implementation Ease
3
Cons
Learning Curve
4
UX Improvement
3
Difficult Navigation
2
Expensive
2
Integration Difficulty
2
Azure Machine Learning features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.8
9.2
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
9.2
Framework Flexibility
Average: 8.7
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(657)4.6 out of 5
Optimized for quick response
4th Easiest To Use in MLOps Platforms software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake 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
    98
    Features
    69
    Data Management
    64
    Integrations
    59
    Scalability
    59
    Cons
    Expensive
    51
    Cost
    29
    Cost Management
    25
    Learning Curve
    22
    Feature Limitations
    21
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.8
    9.3
    Scalability
    Average: 8.9
    8.8
    Metrics
    Average: 8.7
    9.5
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    152 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 43% Mid-Market
Snowflake 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
98
Features
69
Data Management
64
Integrations
59
Scalability
59
Cons
Expensive
51
Cost
29
Cost Management
25
Learning Curve
22
Feature Limitations
21
Snowflake features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.8
9.3
Scalability
Average: 8.9
8.8
Metrics
Average: 8.7
9.5
Framework Flexibility
Average: 8.7
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
152 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
(612)4.3 out of 5
14th Easiest To Use in MLOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Student
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Higher Education
    Market Segment
    • 34% Small-Business
    • 32% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAS Viya is a cloud-based analytics platform that supports advanced analytics, machine learning, and data processing in one platform.
    • Reviewers frequently mention its strong performance, fast processing, easy integration with cloud platforms, and its ability to make teamwork easier by keeping everything in one place.
    • Reviewers mentioned that SAS Viya can be complex to configure, requires strong technical skills to manage in large environments, and its high cost can be a barrier for smaller organizations or teams with limited budgets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Viya 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
    271
    Features
    188
    Analytics
    162
    Data Analysis
    135
    User Interface
    126
    Cons
    Learning Curve
    127
    Learning Difficulty
    126
    Complexity
    116
    Difficult Learning
    99
    Not User-Friendly
    92
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.8
    8.5
    Scalability
    Average: 8.9
    8.8
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,236 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Student
  • Biostatistician
Industries
  • Pharmaceuticals
  • Higher Education
Market Segment
  • 34% Small-Business
  • 32% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAS Viya is a cloud-based analytics platform that supports advanced analytics, machine learning, and data processing in one platform.
  • Reviewers frequently mention its strong performance, fast processing, easy integration with cloud platforms, and its ability to make teamwork easier by keeping everything in one place.
  • Reviewers mentioned that SAS Viya can be complex to configure, requires strong technical skills to manage in large environments, and its high cost can be a barrier for smaller organizations or teams with limited budgets.
SAS Viya 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
271
Features
188
Analytics
162
Data Analysis
135
User Interface
126
Cons
Learning Curve
127
Learning Difficulty
126
Complexity
116
Difficult Learning
99
Not User-Friendly
92
SAS Viya features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.8
8.5
Scalability
Average: 8.9
8.8
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.7
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,236 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
(183)4.4 out of 5
12th Easiest To Use in MLOps Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 61% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
    • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
    • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataiku 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
    82
    Features
    80
    Usability
    43
    Easy Integrations
    41
    Productivity Improvement
    41
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataiku features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.8
    9.0
    Scalability
    Average: 8.9
    8.5
    Metrics
    Average: 8.7
    8.5
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    23,028 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,411 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 61% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
  • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
  • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
Dataiku 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
82
Features
80
Usability
43
Easy Integrations
41
Productivity Improvement
41
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
20
Dataiku features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.8
9.0
Scalability
Average: 8.9
8.5
Metrics
Average: 8.7
8.5
Framework Flexibility
Average: 8.7
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,028 Twitter followers
LinkedIn® Page
www.linkedin.com
1,411 employees on LinkedIn®
(24)4.9 out of 5
1st Easiest To Use in MLOps Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

    Users
    No information available
    Industries
    • Telecommunications
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Ilum is a data platform that can run on-premise or in the cloud, providing data warehousing, data science, and data ops capabilities.
    • Users like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
    • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and requires some basic knowledge of K8S for initial setup.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ILUM 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
    Features
    12
    Ease of Use
    11
    Integrations
    11
    Efficiency
    10
    Flexibility
    10
    Cons
    Complex Setup
    6
    Difficult Setup
    6
    UX Improvement
    6
    Complexity
    5
    Complex UI
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ILUM features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    9.8
    Metrics
    Average: 8.7
    9.8
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ilum
    Company Website
    Year Founded
    2019
    HQ Location
    Santa Fe, US
    Twitter
    @IlumCloud
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

Users
No information available
Industries
  • Telecommunications
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Ilum is a data platform that can run on-premise or in the cloud, providing data warehousing, data science, and data ops capabilities.
  • Users like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
  • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and requires some basic knowledge of K8S for initial setup.
ILUM 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
Features
12
Ease of Use
11
Integrations
11
Efficiency
10
Flexibility
10
Cons
Complex Setup
6
Difficult Setup
6
UX Improvement
6
Complexity
5
Complex UI
5
ILUM features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
9.8
Metrics
Average: 8.7
9.8
Framework Flexibility
Average: 8.7
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 51% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Watson Studio 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 Capabilities
    4
    AI Integration
    4
    AI Modeling
    4
    AI Technology
    4
    Ease of Use
    4
    Cons
    Learning Curve
    2
    Steep Learning Curve
    2
    Cost
    1
    Difficulty in Adjustments
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Watson Studio features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.8
    8.8
    Scalability
    Average: 8.9
    9.0
    Metrics
    Average: 8.7
    8.8
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 51% Enterprise
  • 30% Small-Business
IBM Watson Studio 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 Capabilities
4
AI Integration
4
AI Modeling
4
AI Technology
4
Ease of Use
4
Cons
Learning Curve
2
Steep Learning Curve
2
Cost
1
Difficulty in Adjustments
1
Expensive
1
IBM Watson Studio features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
9.0
Metrics
Average: 8.7
8.8
Framework Flexibility
Average: 8.7
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(568)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
    • 63% Enterprise
    • 25% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAP HANA Cloud is a cloud platform designed for storing and working with large amounts of data, offering real-time data processing and analytics capabilities.
    • Reviewers appreciate the platform's speed, scalability, seamless integration with other SAP tools, and its ability to handle large volumes of data efficiently.
    • Reviewers noted that SAP HANA Cloud can be complex to set up, particularly for new users, and its cost can be high, especially when scaling up.
  • 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
    31
    Easy Integrations
    24
    Integrations
    22
    Features
    18
    Speed
    18
    Cons
    Expensive
    19
    Complexity
    18
    Learning Curve
    18
    Difficult Learning
    13
    Learning Difficulty
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP HANA Cloud features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,341 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135,108 employees on LinkedIn®
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
  • 63% Enterprise
  • 25% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAP HANA Cloud is a cloud platform designed for storing and working with large amounts of data, offering real-time data processing and analytics capabilities.
  • Reviewers appreciate the platform's speed, scalability, seamless integration with other SAP tools, and its ability to handle large volumes of data efficiently.
  • Reviewers noted that SAP HANA Cloud can be complex to set up, particularly for new users, and its cost can be high, especially when scaling up.
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
31
Easy Integrations
24
Integrations
22
Features
18
Speed
18
Cons
Expensive
19
Complexity
18
Learning Curve
18
Difficult Learning
13
Learning Difficulty
12
SAP HANA Cloud features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,341 Twitter followers
LinkedIn® Page
www.linkedin.com
135,108 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Airflow is a platform designed to programmatically author, schedule and monitor workflows with command line and GUI administration.

    Users
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Mid-Market
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Apache Airflow 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
    29
    User Interface
    16
    Flexibility
    12
    Automation
    10
    Easy Integrations
    10
    Cons
    Difficult Setup
    11
    Learning Curve
    9
    Steep Learning Curve
    8
    Learning Difficulty
    6
    Interface Complexity
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Airflow features and usability ratings that predict user satisfaction
    8.4
    Ease of Use
    Average: 8.8
    8.9
    Scalability
    Average: 8.9
    8.1
    Metrics
    Average: 8.7
    8.8
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Airflow is a platform designed to programmatically author, schedule and monitor workflows with command line and GUI administration.

Users
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Mid-Market
  • 30% Enterprise
Apache Airflow 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
29
User Interface
16
Flexibility
12
Automation
10
Easy Integrations
10
Cons
Difficult Setup
11
Learning Curve
9
Steep Learning Curve
8
Learning Difficulty
6
Interface Complexity
5
Apache Airflow features and usability ratings that predict user satisfaction
8.4
Ease of Use
Average: 8.8
8.9
Scalability
Average: 8.9
8.1
Metrics
Average: 8.7
8.8
Framework Flexibility
Average: 8.7
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented t

    Users
    No information available
    Industries
    • Computer Software
    • Research
    Market Segment
    • 62% Small-Business
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datature 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
    Annotation Efficiency
    6
    Ease of Use
    6
    Data Labeling
    5
    Data Labelling
    5
    Efficiency
    5
    Cons
    Difficult Learning
    2
    Lack of Features
    2
    Lack of Guidance
    2
    Limited Customization
    2
    Limited Free Access
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datature features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.8
    9.5
    Scalability
    Average: 8.9
    9.3
    Metrics
    Average: 8.7
    8.9
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datature
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @DatatureAI
    163 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    27 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented t

Users
No information available
Industries
  • Computer Software
  • Research
Market Segment
  • 62% Small-Business
  • 30% Enterprise
Datature 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
Annotation Efficiency
6
Ease of Use
6
Data Labeling
5
Data Labelling
5
Efficiency
5
Cons
Difficult Learning
2
Lack of Features
2
Lack of Guidance
2
Limited Customization
2
Limited Free Access
2
Datature features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.8
9.5
Scalability
Average: 8.9
9.3
Metrics
Average: 8.7
8.9
Framework Flexibility
Average: 8.7
Seller Details
Seller
Datature
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@DatatureAI
163 Twitter followers
LinkedIn® Page
www.linkedin.com
27 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With the Gurobi Optimizer, you can identify provably optimal solutions to the world’s most complex problems—including linear, nonlinear, and quadratic problems—using any combination of continuous and

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Enterprise
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gurobi Optimizer features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Beaverton, OR
    Twitter
    @gurobi
    5,022 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    203 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With the Gurobi Optimizer, you can identify provably optimal solutions to the world’s most complex problems—including linear, nonlinear, and quadratic problems—using any combination of continuous and

Users
No information available
Industries
No information available
Market Segment
  • 55% Enterprise
  • 25% Small-Business
Gurobi Optimizer features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2008
HQ Location
Beaverton, OR
Twitter
@gurobi
5,022 Twitter followers
LinkedIn® Page
www.linkedin.com
203 employees on LinkedIn®
(105)4.2 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Starting at $150.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of software delivered without friction from developer to device. Driven by a “Liquid Software” vision, the JFrog Software Supply Chain P

    Users
    • Software Engineer
    • DevOps Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 55% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • JFrog 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
    Features
    10
    Integrations
    10
    Easy Integrations
    9
    Integration Support
    9
    Repository Management
    9
    Cons
    Complexity
    7
    Expensive
    7
    Learning Curve
    6
    Learning Difficulty
    6
    Pricing Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • JFrog features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    JFrog Ltd
    Company Website
    Year Founded
    2008
    HQ Location
    Sunnyvale, CA
    Twitter
    @jfrog
    23,159 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,208 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of software delivered without friction from developer to device. Driven by a “Liquid Software” vision, the JFrog Software Supply Chain P

Users
  • Software Engineer
  • DevOps Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 55% Enterprise
  • 34% Mid-Market
JFrog 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
Features
10
Integrations
10
Easy Integrations
9
Integration Support
9
Repository Management
9
Cons
Complexity
7
Expensive
7
Learning Curve
6
Learning Difficulty
6
Pricing Issues
6
JFrog features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
JFrog Ltd
Company Website
Year Founded
2008
HQ Location
Sunnyvale, CA
Twitter
@jfrog
23,159 Twitter followers
LinkedIn® Page
www.linkedin.com
2,208 employees on LinkedIn®