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Best Enterprise Large Language Model Operationalization (LLMOps) Software

Blue Bowen
BB
Researched and written by Blue Bowen

Products classified in the overall Large Language Model Operationalization (LLMOps) 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 Large Language Model Operationalization (LLMOps) 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 Large Language Model Operationalization (LLMOps) category.

In addition to qualifying for inclusion in the Large Language Model Operationalization (LLMOps) Software category, to qualify for inclusion in the Enterprise Business Large Language Model Operationalization (LLMOps) Software 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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5 Listings in Enterprise Large Language Model Operationalization (LLMOps) Software Available

(123)4.4 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.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
    67
    Model Variety
    25
    Features
    20
    AI Integration
    19
    Easy Integrations
    19
    Cons
    Improvement Needed
    17
    Expensive
    15
    Complexity
    13
    Difficult Learning
    13
    UX Improvement
    12
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Small-Business
  • 33% Enterprise
IBM watsonx.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
67
Model Variety
25
Features
20
AI Integration
19
Easy Integrations
19
Cons
Improvement Needed
17
Expensive
15
Complexity
13
Difficult Learning
13
UX Improvement
12
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(592)4.3 out of 5
3rd Easiest To Use in Large Language Model Operationalization (LLMOps) software
View top Consulting Services for Vertex AI
Save to My Lists
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
    182
    Model Variety
    132
    Features
    127
    Machine Learning
    125
    Integrations
    100
    Cons
    Expensive
    81
    Learning Curve
    58
    Complexity
    56
    Complexity Issues
    52
    Steep Learning Curve
    39
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,508,752 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
182
Model Variety
132
Features
127
Machine Learning
125
Integrations
100
Cons
Expensive
81
Learning Curve
58
Complexity
56
Complexity Issues
52
Steep Learning Curve
39
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,508,752 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®

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(183)4.4 out of 5
4th Easiest To Use in Large Language Model Operationalization (LLMOps) software
View top Consulting Services for Dataiku
Save to My Lists
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
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    23,015 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
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,015 Twitter followers
LinkedIn® Page
www.linkedin.com
1,411 employees on LinkedIn®
(384)4.4 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Starting at $500.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM® watsonx Orchestrate® puts AI to work for automating complex workflows and processes at scale, without changing your existing systems and tools. IBM watsonx Orchestrate helps you build, deploy

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 37% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx Orchestrate 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
    60
    Easy Integrations
    31
    Automation
    28
    AI Integration
    27
    Integrations
    24
    Cons
    Learning Curve
    22
    Complexity
    17
    Integration Issues
    13
    Missing Features
    12
    Expensive
    11
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM® watsonx Orchestrate® puts AI to work for automating complex workflows and processes at scale, without changing your existing systems and tools. IBM watsonx Orchestrate helps you build, deploy

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 37% Small-Business
IBM watsonx Orchestrate 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
60
Easy Integrations
31
Automation
28
AI Integration
27
Integrations
24
Cons
Learning Curve
22
Complexity
17
Integration Issues
13
Missing Features
12
Expensive
11
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(269)4.4 out of 5
2nd Easiest To Use in Large Language Model Operationalization (LLMOps) software
View top Consulting Services for Kong Gateway
Save to My Lists
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.

    Kong is a cloud-based API management solution designed to help organizations streamline their API operations and enhance their digital experiences. As businesses increasingly rely on APIs to connect s

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kong Gateway 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
    59
    API Management
    52
    Security
    45
    Features
    41
    Scalability
    41
    Cons
    Poor Documentation
    29
    Missing Features
    22
    API Management
    21
    Limited Features
    20
    Learning Difficulty
    17
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kong Inc
    Company Website
    Year Founded
    2017
    HQ Location
    San Francisco, CA
    LinkedIn® Page
    www.linkedin.com
    877 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kong is a cloud-based API management solution designed to help organizations streamline their API operations and enhance their digital experiences. As businesses increasingly rely on APIs to connect s

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 33% Small-Business
Kong Gateway 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
59
API Management
52
Security
45
Features
41
Scalability
41
Cons
Poor Documentation
29
Missing Features
22
API Management
21
Limited Features
20
Learning Difficulty
17
Seller Details
Seller
Kong Inc
Company Website
Year Founded
2017
HQ Location
San Francisco, CA
LinkedIn® Page
www.linkedin.com
877 employees on LinkedIn®