2026 Best Software Awards are here!See the list

Best Enterprise Generative AI Infrastructure Software

Bijou Barry
BB
Researched and written by Bijou Barry

Products classified in the overall Generative AI Infrastructure 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 Generative AI Infrastructure 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 Generative AI Infrastructure category.

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

Show More
Show Less

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.

1 filter applied
Clear All
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Language
Pricing
Sort by
Clear All

6 Listings in Enterprise Generative AI Infrastructure Software Available

  • Sort By:
    G2 Score
Vertex AI
(640)4.3 out of 5
2nd Easiest To Use in Generative AI Infrastructure 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
    • 40% Small-Business
    • 31% 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
    180
    Model Variety
    133
    Machine Learning
    126
    Features
    125
    Integrations
    100
    Cons
    Expensive
    80
    Learning Curve
    56
    Complexity
    54
    Complexity Issues
    50
    Performance Issues
    39
    View All Pros and Cons
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,701,494 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 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
  • 40% Small-Business
  • 31% 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
180
Model Variety
133
Machine Learning
126
Features
125
Integrations
100
Cons
Expensive
80
Learning Curve
56
Complexity
54
Complexity Issues
50
Performance Issues
39
View All Pros and Cons
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,701,494 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
AWS Bedrock
(48)4.3 out of 5
8th Easiest To Use in Generative AI Infrastructure software
View top Consulting Services for AWS Bedrock
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a uni

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Enterprise
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • AWS Bedrock 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
    16
    Model Variety
    14
    Easy Integrations
    10
    Features
    9
    Integrations
    7
    Cons
    Expensive
    21
    Complexity Issues
    9
    Learning Curve
    6
    Limited Access
    5
    Model Issues
    5
    View All Pros and Cons
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,994 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a uni

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Enterprise
  • 38% Mid-Market
AWS Bedrock 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
16
Model Variety
14
Easy Integrations
10
Features
9
Integrations
7
Cons
Expensive
21
Complexity Issues
9
Learning Curve
6
Limited Access
5
Model Issues
5
View All Pros and Cons
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,994 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
G2 Advertising
Sponsored
G2 Advertising
Get 2x conversion than Google Ads with G2 Advertising!
G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.
Learn More
Databricks Data Intelligence Platform
(657)4.6 out of 5
Optimized for quick response
5th Easiest To Use in Generative AI Infrastructure software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • 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 adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    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 data engineering platform that integrates AI and machine learning applications for data analysis and management.
    • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
    • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with 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
    277
    Ease of Use
    267
    Integrations
    184
    Collaboration
    148
    Easy Integrations
    144
    Cons
    Learning Curve
    106
    Expensive
    94
    Steep Learning Curve
    91
    Missing Features
    63
    Complexity
    61
    View All Pros and Cons
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    86,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 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 adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

Users
  • Data Engineer
  • Data Analyst
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 data engineering platform that integrates AI and machine learning applications for data analysis and management.
  • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
  • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with 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
277
Ease of Use
267
Integrations
184
Collaboration
148
Easy Integrations
144
Cons
Learning Curve
106
Expensive
94
Steep Learning Curve
91
Missing Features
63
Complexity
61
View All Pros and Cons
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
86,849 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
Elasticsearch
(283)4.5 out of 5
Optimized for quick response
6th Easiest To Use in Generative AI Infrastructure software
View top Consulting Services for Elasticsearch
Save to My Lists
Entry Level Price:Starting at $99.00
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Mid-Market
    • 34% Enterprise
    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.
    • Elasticsearch is a search and analytics platform that allows users to retrieve search results for specific API transaction IDs, perform complex text queries, integrate with APIs, and monitor logs.
    • Reviewers frequently mention the platform's speed, scalability, and flexibility, as well as its ability to handle large volumes of data and deliver near-instant results.
    • Users experienced challenges with high memory consumption, mapping conflicts, and complex setup processes, and some found the cost to be steep considering the amount of gigabytes included.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Elasticsearch 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
    38
    Fast Search
    26
    Features
    23
    Speed
    23
    Results
    22
    Cons
    Expensive
    20
    Improvement Needed
    19
    Required Expertise
    19
    Difficult Learning
    18
    Learning Difficulty
    18
    View All Pros and Cons
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Elastic
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @elastic
    64,270 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,808 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Mid-Market
  • 34% Enterprise
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.
  • Elasticsearch is a search and analytics platform that allows users to retrieve search results for specific API transaction IDs, perform complex text queries, integrate with APIs, and monitor logs.
  • Reviewers frequently mention the platform's speed, scalability, and flexibility, as well as its ability to handle large volumes of data and deliver near-instant results.
  • Users experienced challenges with high memory consumption, mapping conflicts, and complex setup processes, and some found the cost to be steep considering the amount of gigabytes included.
Elasticsearch 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
38
Fast Search
26
Features
23
Speed
23
Results
22
Cons
Expensive
20
Improvement Needed
19
Required Expertise
19
Difficult Learning
18
Learning Difficulty
18
View All Pros and Cons
Seller Details
Seller
Elastic
Company Website
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@elastic
64,270 Twitter followers
LinkedIn® Page
www.linkedin.com
4,808 employees on LinkedIn®
Dataiku
(189)4.4 out of 5
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
    • 59% Enterprise
    • 23% 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 for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
    • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
    • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
  • 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
    81
    Features
    79
    Usability
    43
    Easy Integrations
    41
    Integrations
    40
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    19
    View All Pros and Cons
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    22,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,609 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
  • 59% Enterprise
  • 23% 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 for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
  • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
  • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
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
81
Features
79
Usability
43
Easy Integrations
41
Integrations
40
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
19
View All Pros and Cons
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,952 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
Workato
(750)4.7 out of 5
Optimized for quick response
4th Easiest To Use in Generative AI Infrastructure software
View top Consulting Services for Workato
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Workato is the enterprise orchestration platform trusted by 12,000+ global customers to move faster, innovate confidently, and lead with AI. The only vendor rated #1 in both analyst and customer revie

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 43% Mid-Market
    • 33% Enterprise
    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.
    • Workato is a platform designed for automation and integration of tasks and processes across multiple systems, with a focus on ease of use for both technical and non-technical users.
    • Reviewers frequently mention the platform's user-friendly interface, extensive connectivity, and the ability to automate complex tasks, reducing manual effort and increasing efficiency.
    • Reviewers mentioned issues with troubleshooting and debugging, limitations in visibility into error logs, and challenges with certain advanced use cases requiring deeper technical understanding.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Workato 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
    336
    Integrations
    226
    Easy Integrations
    214
    Automation
    183
    Features
    176
    Cons
    Complexity
    72
    Data Limitations
    67
    Learning Curve
    67
    Missing Features
    67
    Expensive
    65
    View All Pros and Cons
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Workato
    Company Website
    Year Founded
    2013
    HQ Location
    Mountain View, California
    Twitter
    @Workato
    3,564 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Workato is the enterprise orchestration platform trusted by 12,000+ global customers to move faster, innovate confidently, and lead with AI. The only vendor rated #1 in both analyst and customer revie

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 43% Mid-Market
  • 33% Enterprise
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.
  • Workato is a platform designed for automation and integration of tasks and processes across multiple systems, with a focus on ease of use for both technical and non-technical users.
  • Reviewers frequently mention the platform's user-friendly interface, extensive connectivity, and the ability to automate complex tasks, reducing manual effort and increasing efficiency.
  • Reviewers mentioned issues with troubleshooting and debugging, limitations in visibility into error logs, and challenges with certain advanced use cases requiring deeper technical understanding.
Workato 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
336
Integrations
226
Easy Integrations
214
Automation
183
Features
176
Cons
Complexity
72
Data Limitations
67
Learning Curve
67
Missing Features
67
Expensive
65
View All Pros and Cons
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,564 Twitter followers
LinkedIn® Page
www.linkedin.com
1,291 employees on LinkedIn®
Filters
Filter
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Language
Pricing
Sort by
Clear All
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Language
Pricing
Sort by
Clear All

6 Listings in Enterprise Generative AI Infrastructure Software Available

  • Sort By:
    G2 Score

Recommended For You

ZoomInfo Sales
Talkdesk
CloudTalk
Apollo.io
JustCall