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Best MLOps Platforms for for Small Business

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall MLOps Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small 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 Small Business MLOps Platforms category.

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

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 Small Business MLOps Platforms Available

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Vertex AI
By Google
(511)4.3 out of 5
9th Easiest To Use in MLOps Platforms 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, and

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 38% Small-Business
    • 35% 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
    211
    Model Variety
    123
    Features
    121
    Machine Learning
    110
    Integrations
    85
    Cons
    Expensive
    59
    Performance Issues
    53
    Learning Curve
    50
    Complexity
    46
    Complexity Issues
    43
  • 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
    8.3
    Metrics
    Average: 8.7
    8.4
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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, and

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 38% Small-Business
  • 35% 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
211
Model Variety
123
Features
121
Machine Learning
110
Integrations
85
Cons
Expensive
59
Performance Issues
53
Learning Curve
50
Complexity
46
Complexity Issues
43
Vertex AI features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
8.4
Framework Flexibility
Average: 8.6
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Saturn Cloud
By Saturn Cloud
(295)4.8 out of 5
2nd Easiest To Use in MLOps Platforms software
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.

    Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new idea

    Users
    • Data Scientist
    • Software Engineer
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 82% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Saturn 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
    120
    Free Services
    42
    Setup Ease
    42
    GPU Performance
    38
    User Interface
    31
    Cons
    Limited Hours
    17
    Limited Free Access
    15
    Missing Features
    14
    Slow Startup
    13
    Expensive
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Saturn Cloud features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.8
    9.4
    Scalability
    Average: 8.9
    9.3
    Metrics
    Average: 8.7
    9.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Saturn Cloud
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,307 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new idea

Users
  • Data Scientist
  • Software Engineer
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 82% Small-Business
  • 12% Mid-Market
Saturn 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
120
Free Services
42
Setup Ease
42
GPU Performance
38
User Interface
31
Cons
Limited Hours
17
Limited Free Access
15
Missing Features
14
Slow Startup
13
Expensive
12
Saturn Cloud features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.8
9.4
Scalability
Average: 8.9
9.3
Metrics
Average: 8.7
9.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
Saturn Cloud
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,307 Twitter followers
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®

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Databricks Data Intelligence Platform
By Databricks Inc.
(403)4.6 out of 5
Optimized for quick response
7th Easiest To Use in MLOps Platforms 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 34% Mid-Market
  • 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
    Ease of Use
    182
    Features
    165
    Integrations
    104
    Data Management
    91
    Easy Integrations
    88
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    49
    Performance Issues
    36
  • 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
    8.7
    Scalability
    Average: 8.9
    8.4
    Metrics
    Average: 8.7
    8.5
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    75,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,769 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 34% Mid-Market
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
Ease of Use
182
Features
165
Integrations
104
Data Management
91
Easy Integrations
88
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
49
Performance Issues
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.7
Scalability
Average: 8.9
8.4
Metrics
Average: 8.7
8.5
Framework Flexibility
Average: 8.6
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
75,952 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®
Weights & Biases
By Weights & Biases
(41)4.7 out of 5
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.

    Weights & Biases is the leading AI developer platform supporting end-to-end MLOps and LLMOps workflows. Trusted by over 30 foundation model builders and 1,000 companies to productionize machine le

    Users
    No information available
    Industries
    • Research
    • Computer Software
    Market Segment
    • 49% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Weights & Biases 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
    17
    Features
    7
    Data Visualization
    5
    Easy Integrations
    4
    Model Management
    4
    Cons
    Performance Issues
    8
    Missing Features
    7
    Slow Performance
    5
    Expensive
    2
    Lack of Tools
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Weights & Biases features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    8.9
    Metrics
    Average: 8.7
    8.6
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Weights & Biases
    Year Founded
    2017
    HQ Location
    San Francisco, California, United States
    Twitter
    @weights_biases
    43,462 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    288 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Weights & Biases is the leading AI developer platform supporting end-to-end MLOps and LLMOps workflows. Trusted by over 30 foundation model builders and 1,000 companies to productionize machine le

Users
No information available
Industries
  • Research
  • Computer Software
Market Segment
  • 49% Small-Business
  • 29% Mid-Market
Weights & Biases 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
17
Features
7
Data Visualization
5
Easy Integrations
4
Model Management
4
Cons
Performance Issues
8
Missing Features
7
Slow Performance
5
Expensive
2
Lack of Tools
2
Weights & Biases features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
8.9
Metrics
Average: 8.7
8.6
Framework Flexibility
Average: 8.6
Seller Details
Seller
Weights & Biases
Year Founded
2017
HQ Location
San Francisco, California, United States
Twitter
@weights_biases
43,462 Twitter followers
LinkedIn® Page
www.linkedin.com
288 employees on LinkedIn®
Read Weights & Biases Reviews
Snowflake
By Snowflake, Inc.
(584)4.5 out of 5
Optimized for quick response
5th Easiest To Use in MLOps Platforms software
View top Consulting Services for Snowflake
Save to My Lists
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
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 40% 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
    131
    Features
    75
    Data Management
    63
    Efficiency Improvement
    61
    Database Management
    58
    Cons
    Expensive
    55
    Feature Limitations
    46
    Limited Features
    33
    Missing Features
    28
    Query Issues
    28
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Snowflake, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    55,795 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,874 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
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 40% 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
131
Features
75
Data Management
63
Efficiency Improvement
61
Database Management
58
Cons
Expensive
55
Feature Limitations
46
Limited Features
33
Missing Features
28
Query Issues
28
Snowflake features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.6
Seller Details
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
55,795 Twitter followers
LinkedIn® Page
www.linkedin.com
8,874 employees on LinkedIn®
Azure Machine Learning
By Microsoft
(87)4.3 out of 5
8th Easiest To Use in MLOps Platforms software
View top Consulting Services for Azure Machine Learning
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
    • 33% 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
    18
    Machine Learning
    10
    Training
    8
    Cloud Computing
    6
    Cloud Services
    6
    Cons
    Expensive
    8
    Learning Curve
    6
    Missing Features
    5
    Cost
    4
    Integration Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.6
    Ease of Use
    Average: 8.8
    9.2
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    9.2
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 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
  • 33% 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
18
Machine Learning
10
Training
8
Cloud Computing
6
Cloud Services
6
Cons
Expensive
8
Learning Curve
6
Missing Features
5
Cost
4
Integration Issues
4
Azure Machine Learning features and usability ratings that predict user satisfaction
8.6
Ease of Use
Average: 8.8
9.2
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
9.2
Framework Flexibility
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
Read Azure Machine Learning Reviews
SuperAnnotate
By SuperAnnotate
(144)4.9 out of 5
1st Easiest To Use in MLOps Platforms software
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.

    SuperAnnotate is the only fully customizable, one-stop platform for building exactly the annotation tools and workflows your AI projects demand—while unifying the management of all your teams, vendors

    Users
    • Student
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 60% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • SuperAnnotate 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
    36
    Customer Support
    21
    Annotation Efficiency
    20
    Data Labeling
    17
    Efficiency
    13
    Cons
    Annotation Issues
    7
    Lack of Resources
    6
    Limited Customization
    6
    Missing Features
    6
    Lack of Features
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SuperAnnotate features and usability ratings that predict user satisfaction
    9.6
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    9.6
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SuperAnnotate
    Year Founded
    2018
    HQ Location
    San Francisco, CA
    Twitter
    @superannotate
    535 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    245 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SuperAnnotate is the only fully customizable, one-stop platform for building exactly the annotation tools and workflows your AI projects demand—while unifying the management of all your teams, vendors

Users
  • Student
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 60% Small-Business
  • 26% Mid-Market
SuperAnnotate 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
36
Customer Support
21
Annotation Efficiency
20
Data Labeling
17
Efficiency
13
Cons
Annotation Issues
7
Lack of Resources
6
Limited Customization
6
Missing Features
6
Lack of Features
4
SuperAnnotate features and usability ratings that predict user satisfaction
9.6
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
9.6
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
SuperAnnotate
Year Founded
2018
HQ Location
San Francisco, CA
Twitter
@superannotate
535 Twitter followers
LinkedIn® Page
www.linkedin.com
245 employees on LinkedIn®
Read SuperAnnotate Reviews
neptune.ai
By Neptune Labs
(52)4.6 out of 5
3rd Easiest To Use in MLOps Platforms software
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.

    Experiment tracker purpose-built for foundation model training. With Neptune, you can monitor thousands of per-layer metrics—losses, gradients, and activations—at any scale. Visualize them with no

    Users
    No information available
    Industries
    • Computer Software
    • Biotechnology
    Market Segment
    • 42% Mid-Market
    • 42% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • neptune.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
    27
    Customer Support
    22
    Easy Integrations
    15
    Features
    15
    User Interface
    12
    Cons
    Missing Features
    20
    Lack of Tools
    4
    Dashboard Limitations
    2
    Dependency Issues
    2
    Difficult Navigation
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • neptune.ai features and usability ratings that predict user satisfaction
    9.1
    Ease of Use
    Average: 8.8
    8.8
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    9.1
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Neptune Labs
    Company Website
    Year Founded
    2017
    HQ Location
    Warsaw, PL
    Twitter
    @neptune_ai
    7,277 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    93 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Experiment tracker purpose-built for foundation model training. With Neptune, you can monitor thousands of per-layer metrics—losses, gradients, and activations—at any scale. Visualize them with no

Users
No information available
Industries
  • Computer Software
  • Biotechnology
Market Segment
  • 42% Mid-Market
  • 42% Small-Business
neptune.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
27
Customer Support
22
Easy Integrations
15
Features
15
User Interface
12
Cons
Missing Features
20
Lack of Tools
4
Dashboard Limitations
2
Dependency Issues
2
Difficult Navigation
2
neptune.ai features and usability ratings that predict user satisfaction
9.1
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
9.1
Framework Flexibility
Average: 8.6
Seller Details
Seller
Neptune Labs
Company Website
Year Founded
2017
HQ Location
Warsaw, PL
Twitter
@neptune_ai
7,277 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®
SAS Viya
By SAS Institute Inc.
(409)4.3 out of 5
12th 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
    • Statistical Programmer
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% 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.
    • SAS Viya is a data analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
    • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
    • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
  • 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
    269
    Features
    167
    Analytics
    136
    Data Analysis
    112
    Performance Efficiency
    108
    Cons
    Learning Curve
    116
    Learning Difficulty
    106
    Complexity
    102
    Difficult Learning
    83
    Expensive
    82
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Viya features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.8
    7.9
    Scalability
    Average: 8.9
    8.5
    Metrics
    Average: 8.7
    8.1
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 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
  • Statistical Programmer
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% 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.
  • SAS Viya is a data analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
  • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
  • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
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
269
Features
167
Analytics
136
Data Analysis
112
Performance Efficiency
108
Cons
Learning Curve
116
Learning Difficulty
106
Complexity
102
Difficult Learning
83
Expensive
82
SAS Viya features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.8
7.9
Scalability
Average: 8.9
8.5
Metrics
Average: 8.7
8.1
Framework Flexibility
Average: 8.6
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
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Aporia
By Coralogix
(61)4.8 out of 5
4th Easiest To Use in MLOps Platforms software
Save to My Lists
Free trial available
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aporia is the leading AI Control Platform, trusted by both emerging tech startups and established Fortune 500 companies to guarantee the privacy, security, and reliability of AI applications. With

    Users
    No information available
    Industries
    • Computer Software
    • Computer & Network Security
    Market Segment
    • 59% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Aporia 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
    15
    User Interface
    8
    Features
    7
    Data Analytics
    5
    Easy Integrations
    5
    Cons
    Difficult Learning
    1
    Learning Curve
    1
    Poor Response Quality
    1
    Poor UI
    1
    Time Consumption
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Aporia features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.8
    8.9
    Scalability
    Average: 8.9
    9.0
    Metrics
    Average: 8.7
    9.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Coralogix
    Year Founded
    2014
    HQ Location
    San Francisco, CA
    Twitter
    @Coralogix
    4,068 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    396 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aporia is the leading AI Control Platform, trusted by both emerging tech startups and established Fortune 500 companies to guarantee the privacy, security, and reliability of AI applications. With

Users
No information available
Industries
  • Computer Software
  • Computer & Network Security
Market Segment
  • 59% Small-Business
  • 31% Mid-Market
Aporia 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
15
User Interface
8
Features
7
Data Analytics
5
Easy Integrations
5
Cons
Difficult Learning
1
Learning Curve
1
Poor Response Quality
1
Poor UI
1
Time Consumption
1
Aporia features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.8
8.9
Scalability
Average: 8.9
9.0
Metrics
Average: 8.7
9.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
Coralogix
Year Founded
2014
HQ Location
San Francisco, CA
Twitter
@Coralogix
4,068 Twitter followers
LinkedIn® Page
www.linkedin.com
396 employees on LinkedIn®
Read Aporia Reviews
TrueFoundry
By TrueFoundry
(47)4.7 out of 5
6th 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.

    TrueFoundry is a cloud-native PaaS that enables enterprise teams to experiment as well as productionize advanced ML and LLM workflows on their own cloud/on-prem infra with full data privacy and securi

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • TrueFoundry 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
    43
    Customer Support
    35
    Deployment Ease
    25
    User Interface
    21
    Setup Ease
    19
    Cons
    Missing Features
    9
    Deployment Issues
    4
    Poor UI
    4
    Performance Issues
    3
    Poor User Interface
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • TrueFoundry features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.8
    9.3
    Scalability
    Average: 8.9
    7.8
    Metrics
    Average: 8.7
    8.4
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    TrueFoundry
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, California
    LinkedIn® Page
    www.linkedin.com
    54 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TrueFoundry is a cloud-native PaaS that enables enterprise teams to experiment as well as productionize advanced ML and LLM workflows on their own cloud/on-prem infra with full data privacy and securi

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Mid-Market
  • 34% Small-Business
TrueFoundry 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
43
Customer Support
35
Deployment Ease
25
User Interface
21
Setup Ease
19
Cons
Missing Features
9
Deployment Issues
4
Poor UI
4
Performance Issues
3
Poor User Interface
3
TrueFoundry features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.8
9.3
Scalability
Average: 8.9
7.8
Metrics
Average: 8.7
8.4
Framework Flexibility
Average: 8.6
Seller Details
Seller
TrueFoundry
Company Website
Year Founded
2021
HQ Location
San Francisco, California
LinkedIn® Page
www.linkedin.com
54 employees on LinkedIn®
IBM Watson Studio
By IBM
(163)4.2 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.

    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
    • 50% Enterprise
    • 29% 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
    Ease of Use
    7
    AI Capabilities
    4
    AI Integration
    4
    AI Technology
    4
    Features
    4
    Cons
    Expensive
    2
    Learning Curve
    2
    Limited Language Support
    2
    Limited Userbase
    2
    Poor Customer Support
    2
  • 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
    9.0
    Scalability
    Average: 8.9
    9.0
    Metrics
    Average: 8.7
    8.8
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 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
  • 50% Enterprise
  • 29% 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
Ease of Use
7
AI Capabilities
4
AI Integration
4
AI Technology
4
Features
4
Cons
Expensive
2
Learning Curve
2
Limited Language Support
2
Limited Userbase
2
Poor Customer Support
2
IBM Watson Studio features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.8
9.0
Scalability
Average: 8.9
9.0
Metrics
Average: 8.7
8.8
Framework Flexibility
Average: 8.6
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
Read IBM Watson Studio Reviews
Datature
By Datature
(31)4.9 out of 5
Save to My Lists
Free trial available
  • 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
    Market Segment
    • 61% Small-Business
    • 29% 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
    Ease of Use
    20
    Annotation Efficiency
    9
    Customer Support
    9
    Data Labeling
    9
    Features
    9
    Cons
    Limited Free Access
    5
    Missing Features
    5
    Lack of Features
    4
    Difficult Learning
    2
    Lack of Guidance
    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
    8.8
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Datature
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @DatatureAI
    158 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    26 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
Market Segment
  • 61% Small-Business
  • 29% 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
Ease of Use
20
Annotation Efficiency
9
Customer Support
9
Data Labeling
9
Features
9
Cons
Limited Free Access
5
Missing Features
5
Lack of Features
4
Difficult Learning
2
Lack of Guidance
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
8.8
Framework Flexibility
Average: 8.6
Seller Details
Seller
Datature
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@DatatureAI
158 Twitter followers
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
Read Datature Reviews
WhyLabs
By WhyLabs
(27)4.6 out of 5
10th Easiest To Use in MLOps Platforms software
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.

    The ability to control and observe the health of AI applications is critical for the success and ROI of every experience powered by either predictive or generative AI models. WhyLabs enables teams to

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • WhyLabs 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
    Customer Support
    10
    Ease of Use
    10
    Documentation
    7
    Features
    6
    Easy Integrations
    5
    Cons
    Poor Documentation
    5
    Lack of Guidance
    4
    Missing Features
    4
    API Issues
    2
    Dashboard Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • WhyLabs features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.8
    8.1
    Scalability
    Average: 8.9
    9.1
    Metrics
    Average: 8.7
    8.9
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    WhyLabs
    Year Founded
    2019
    HQ Location
    Seattle, WA
    Twitter
    @WhyLabs
    1,205 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    66 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The ability to control and observe the health of AI applications is critical for the success and ROI of every experience powered by either predictive or generative AI models. WhyLabs enables teams to

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Small-Business
  • 26% Mid-Market
WhyLabs 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
Customer Support
10
Ease of Use
10
Documentation
7
Features
6
Easy Integrations
5
Cons
Poor Documentation
5
Lack of Guidance
4
Missing Features
4
API Issues
2
Dashboard Limitations
2
WhyLabs features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.8
8.1
Scalability
Average: 8.9
9.1
Metrics
Average: 8.7
8.9
Framework Flexibility
Average: 8.6
Seller Details
Seller
WhyLabs
Year Founded
2019
HQ Location
Seattle, WA
Twitter
@WhyLabs
1,205 Twitter followers
LinkedIn® Page
www.linkedin.com
66 employees on LinkedIn®
Read WhyLabs Reviews
SAS Model Manager
By SAS Institute Inc.
(73)4.6 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 56% Enterprise
    • 18% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • SAS Model Manager Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    Features
    19
    Model Management
    15
    Model Variety
    10
    User Interface
    10
    Cons
    Expensive
    11
    Lack of Guidance
    6
    Complex Implementation
    4
    Difficult Setup
    4
    Lack of Communication
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Model Manager features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    7.5
    Metrics
    Average: 8.7
    7.5
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 56% Enterprise
  • 18% Small-Business
SAS Model Manager Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
Features
19
Model Management
15
Model Variety
10
User Interface
10
Cons
Expensive
11
Lack of Guidance
6
Complex Implementation
4
Difficult Setup
4
Lack of Communication
4
SAS Model Manager features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
7.5
Metrics
Average: 8.7
7.5
Framework Flexibility
Average: 8.6
Seller Details
Seller
SAS Institute Inc.
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
Phone
1-800-727-0025
Read SAS Model Manager Reviews
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