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Best MLOps Platforms - Page 3

Blue Bowen
BB
Researched and written by Blue Bowen

Machine learning operationalization (MLOps) platforms allow users to manage and monitor machine learning models as they are integrated into business applications. In addition, many of these tools facilitate the deployment of these models. With these tools, businesses can implement machine learning models and algorithms built by data scientists and developers. MLOps software automates deployment, monitors models' health, performance, and accuracy, and iterates on those models. Some tools provide features for doing this collaboratively. This enables businesses to scale machine learning across the company and make a tangible business impact.

Additionally, these products may provide security, provisioning, and governing capabilities to ensure that only those authorized to make version changes or deployment adjustments can do so. The tools can differ regarding what part of the machine learning journey or workflow they focus on, including explainability, hyper optimization, feature engineering, model risk, model selection, model monitoring, and experiment tracking.

These tools are usually language agnostic, so they can be successfully deployed no matter how an algorithm is built. However, some may focus specifically on languages like R or Python, among others. Some of these products are dedicated to tracking machine learning experiments to better understand the performance of models. In addition, some products provide the ability to augment users’ training datasets in order to improve model training.

Some MLOps solutions offer a way to manage all machine learning models across the entire business in a single location. Although similar to data science and machine learning platforms, this software differs since it focuses on the maintenance and monitoring of models instead of deployment.

To qualify for inclusion in the MLOps Platforms category, a product must:

Offer a platform to monitor and manage machine learning models
Allow users to integrate models into business applications across a company
Track the health and performance of deployed machine learning models
Provide a holistic management tool to better understand all models deployed across a business
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Best MLOps Platforms At A Glance

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210 Listings in MLOps Platforms Available
(54)4.8 out of 5
View top Consulting Services for V7 Darwin
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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.

    V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving c

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • V7 Darwin 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
    10
    Annotation Efficiency
    8
    Annotation Tools
    7
    Features
    6
    Efficiency
    5
    Cons
    Lacking Features
    5
    Missing Features
    5
    Limited Features
    3
    Annotation Issues
    2
    Difficult Navigation
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • V7 Darwin features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.8
    9.8
    Scalability
    Average: 8.9
    9.7
    Metrics
    Average: 8.7
    9.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    V7
    Year Founded
    2018
    HQ Location
    London, England
    Twitter
    @v7labs
    3,423 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    102 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving c

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Small-Business
  • 35% Mid-Market
V7 Darwin 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
10
Annotation Efficiency
8
Annotation Tools
7
Features
6
Efficiency
5
Cons
Lacking Features
5
Missing Features
5
Limited Features
3
Annotation Issues
2
Difficult Navigation
2
V7 Darwin features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.8
9.8
Scalability
Average: 8.9
9.7
Metrics
Average: 8.7
9.3
Framework Flexibility
Average: 8.7
Seller Details
Seller
V7
Year Founded
2018
HQ Location
London, England
Twitter
@v7labs
3,423 Twitter followers
LinkedIn® Page
www.linkedin.com
102 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, DICOM, and LiDAR / 3D point cloud files on

    Users
    No information available
    Industries
    • Computer Software
    • Hospital & Health Care
    Market Segment
    • 50% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Encord Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Annotation Efficiency
    10
    Annotation Tools
    10
    Ease of Use
    10
    Team Collaboration
    6
    Image Segmentation
    5
    Cons
    Missing Features
    6
    Lacking Features
    4
    Difficult Navigation
    3
    Lagging Issues
    3
    Latency Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Encord features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.8
    9.8
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    9.5
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Encord
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @encord_team
    679 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    127 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, DICOM, and LiDAR / 3D point cloud files on

Users
No information available
Industries
  • Computer Software
  • Hospital & Health Care
Market Segment
  • 50% Small-Business
  • 40% Mid-Market
Encord Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Annotation Efficiency
10
Annotation Tools
10
Ease of Use
10
Team Collaboration
6
Image Segmentation
5
Cons
Missing Features
6
Lacking Features
4
Difficult Navigation
3
Lagging Issues
3
Latency Issues
3
Encord features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.8
9.8
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
9.5
Framework Flexibility
Average: 8.7
Seller Details
Seller
Encord
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@encord_team
679 Twitter followers
LinkedIn® Page
www.linkedin.com
127 employees on LinkedIn®

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

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataloop Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Annotation Efficiency
    5
    Easy Integrations
    5
    Annotation Tools
    4
    Features
    4
    Cons
    Lagging Issues
    5
    Performance Issues
    5
    Lagging Performance
    3
    Latency Issues
    3
    Slow Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataloop features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    7.8
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataloop
    Year Founded
    2017
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Dataloop Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Annotation Efficiency
5
Easy Integrations
5
Annotation Tools
4
Features
4
Cons
Lagging Issues
5
Performance Issues
5
Lagging Performance
3
Latency Issues
3
Slow Performance
3
Dataloop features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
7.8
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.7
Seller Details
Seller
Dataloop
Year Founded
2017
HQ Location
Herzliya, IL
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kili 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
    API Quality
    2
    API Usability
    2
    Collaboration
    2
    Data Labeling
    2
    Data Management
    2
    Cons
    Annotation Issues
    1
    Complex Implementation
    1
    Inefficient Labeling
    1
    Lacking Features
    1
    Lack of Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kili features and usability ratings that predict user satisfaction
    8.8
    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
    2018
    HQ Location
    Paris, FR
    Twitter
    @Kili_Technology
    444 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 38% Small-Business
Kili 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
API Quality
2
API Usability
2
Collaboration
2
Data Labeling
2
Data Management
2
Cons
Annotation Issues
1
Complex Implementation
1
Inefficient Labeling
1
Lacking Features
1
Lack of Features
1
Kili features and usability ratings that predict user satisfaction
8.8
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
2018
HQ Location
Paris, FR
Twitter
@Kili_Technology
444 Twitter followers
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Comet provides an end-to-end model evaluation platform for AI developers, with best in class LLM evaluations, experiment tracking, and production monitoring.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 42% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Comet.ml features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    7.3
    Scalability
    Average: 8.9
    8.0
    Metrics
    Average: 8.7
    7.7
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Comet.ml
    Year Founded
    2017
    HQ Location
    New York, NY
    Twitter
    @Cometml
    15,101 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    87 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Comet provides an end-to-end model evaluation platform for AI developers, with best in class LLM evaluations, experiment tracking, and production monitoring.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 42% Small-Business
Comet.ml features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
7.3
Scalability
Average: 8.9
8.0
Metrics
Average: 8.7
7.7
Framework Flexibility
Average: 8.7
Seller Details
Seller
Comet.ml
Year Founded
2017
HQ Location
New York, NY
Twitter
@Cometml
15,101 Twitter followers
LinkedIn® Page
www.linkedin.com
87 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ClearML is an end-to-end AI platform that streamlines AI development and deployment by orchestrating workloads and optimizing infrastructure performance. The platform maximizes GPU cluster utilization

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ClearML features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    8.8
    Metrics
    Average: 8.7
    8.8
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ClearML
    Year Founded
    2016
    HQ Location
    Tel Aviv, IL
    Twitter
    @clearmlapp
    3,788 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ClearML is an end-to-end AI platform that streamlines AI development and deployment by orchestrating workloads and optimizing infrastructure performance. The platform maximizes GPU cluster utilization

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 31% Mid-Market
ClearML features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
8.8
Metrics
Average: 8.7
8.8
Framework Flexibility
Average: 8.7
Seller Details
Seller
ClearML
Year Founded
2016
HQ Location
Tel Aviv, IL
Twitter
@clearmlapp
3,788 Twitter followers
LinkedIn® Page
www.linkedin.com
36 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Machine Learning Toolkit for Kubernetes

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 45% Small-Business
    • 41% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kubeflow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Storage
    1
    Ease of Use
    1
    Efficiency
    1
    Flexibility
    1
    Model Variety
    1
    Cons
    Complex Setup
    2
    Complex Implementation
    1
    Complexity
    1
    Difficult Setup
    1
    Limited Capacity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kubeflow features and usability ratings that predict user satisfaction
    7.6
    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
    Kubeflow
    Year Founded
    2017
    HQ Location
    Sunnyvale, US
    Twitter
    @kubeflow
    6,522 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Machine Learning Toolkit for Kubernetes

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 45% Small-Business
  • 41% Enterprise
Kubeflow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Storage
1
Ease of Use
1
Efficiency
1
Flexibility
1
Model Variety
1
Cons
Complex Setup
2
Complex Implementation
1
Complexity
1
Difficult Setup
1
Limited Capacity
1
Kubeflow features and usability ratings that predict user satisfaction
7.6
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Kubeflow
Year Founded
2017
HQ Location
Sunnyvale, US
Twitter
@kubeflow
6,522 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Leader in creating Data Science Tools. MLJAR is an automated machine learning (AutoML) framework designed to make building and deploying machine learning models easier and more accessible. It offers t

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 63% Enterprise
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLJAR features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.8
    8.9
    Scalability
    Average: 8.9
    9.0
    Metrics
    Average: 8.7
    9.1
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLJAR
    Year Founded
    2016
    HQ Location
    Łapy, PL
    Twitter
    @MLJARofficial
    1,481 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Leader in creating Data Science Tools. MLJAR is an automated machine learning (AutoML) framework designed to make building and deploying machine learning models easier and more accessible. It offers t

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 63% Enterprise
  • 25% Small-Business
MLJAR features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.9
Scalability
Average: 8.9
9.0
Metrics
Average: 8.7
9.1
Framework Flexibility
Average: 8.7
Seller Details
Seller
MLJAR
Year Founded
2016
HQ Location
Łapy, PL
Twitter
@MLJARofficial
1,481 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Mona is an intelligent monitoring platform for AI in production. Data science, machine learning, and data operation teams leverage Mona to increase trust in their AI system by giving them a powerful a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mona features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Mona
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @mona_labs
    42 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Mona is an intelligent monitoring platform for AI in production. Data science, machine learning, and data operation teams leverage Mona to increase trust in their AI system by giving them a powerful a

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 40% Mid-Market
Mona features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.7
Seller Details
Seller
Mona
Year Founded
2018
HQ Location
N/A
Twitter
@mona_labs
42 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Arize AI offers an all-in-one AI and Agent Engineering platform designed for the complexity and unpredictable behavior of generative models. With purpose-built tools to observe, evaluate, and optimize

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 43% Small-Business
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Arize 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
    Easy Integrations
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Arize AI features and usability ratings that predict user satisfaction
    7.7
    Ease of Use
    Average: 8.8
    9.2
    Scalability
    Average: 8.9
    9.2
    Metrics
    Average: 8.7
    7.5
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Arize AI
    HQ Location
    Berkeley, US
    Twitter
    @arizeai
    3,853 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    145 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arize AI offers an all-in-one AI and Agent Engineering platform designed for the complexity and unpredictable behavior of generative models. With purpose-built tools to observe, evaluate, and optimize

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 43% Small-Business
  • 30% Enterprise
Arize 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
Easy Integrations
1
Cons
This product has not yet received any negative sentiments.
Arize AI features and usability ratings that predict user satisfaction
7.7
Ease of Use
Average: 8.8
9.2
Scalability
Average: 8.9
9.2
Metrics
Average: 8.7
7.5
Framework Flexibility
Average: 8.7
Seller Details
Seller
Arize AI
HQ Location
Berkeley, US
Twitter
@arizeai
3,853 Twitter followers
LinkedIn® Page
www.linkedin.com
145 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DVC is an open-source, Git-based data science tool. Apply version control to machine learning development, make your repo the backbone of your project, and instill best practices across your team. Fi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Mid-Market
    • 27% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DVC features and usability ratings that predict user satisfaction
    6.9
    Ease of Use
    Average: 8.8
    8.3
    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
    Seller
    Iterative
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @Iterativeai
    544 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DVC is an open-source, Git-based data science tool. Apply version control to machine learning development, make your repo the backbone of your project, and instill best practices across your team. Fi

Users
No information available
Industries
No information available
Market Segment
  • 55% Mid-Market
  • 27% Small-Business
DVC features and usability ratings that predict user satisfaction
6.9
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
8.1
Metrics
Average: 8.7
8.8
Framework Flexibility
Average: 8.7
Seller Details
Seller
Iterative
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@Iterativeai
544 Twitter followers
LinkedIn® Page
www.linkedin.com
13 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pachyderm is cost-effective at scale, enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data. Our unique approach provides parall

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 36% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Pachyderm features and usability ratings that predict user satisfaction
    7.3
    Ease of Use
    Average: 8.8
    8.0
    Scalability
    Average: 8.9
    8.1
    Metrics
    Average: 8.7
    7.6
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Pachyderm
    Year Founded
    2014
    HQ Location
    San Francisco, California
    Twitter
    @pachyderminc
    2,409 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pachyderm is cost-effective at scale, enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data. Our unique approach provides parall

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 36% Enterprise
Pachyderm features and usability ratings that predict user satisfaction
7.3
Ease of Use
Average: 8.8
8.0
Scalability
Average: 8.9
8.1
Metrics
Average: 8.7
7.6
Framework Flexibility
Average: 8.7
Seller Details
Seller
Pachyderm
Year Founded
2014
HQ Location
San Francisco, California
Twitter
@pachyderminc
2,409 Twitter followers
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 45% Enterprise
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Seldon features and usability ratings that predict user satisfaction
    7.9
    Ease of Use
    Average: 8.8
    9.2
    Scalability
    Average: 8.9
    9.2
    Metrics
    Average: 8.7
    9.2
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Seldon
    Year Founded
    2014
    HQ Location
    London, GB
    Twitter
    @seldon_io
    2,292 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    102 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 45% Enterprise
  • 36% Small-Business
Seldon features and usability ratings that predict user satisfaction
7.9
Ease of Use
Average: 8.8
9.2
Scalability
Average: 8.9
9.2
Metrics
Average: 8.7
9.2
Framework Flexibility
Average: 8.7
Seller Details
Seller
Seldon
Year Founded
2014
HQ Location
London, GB
Twitter
@seldon_io
2,292 Twitter followers
LinkedIn® Page
www.linkedin.com
102 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Determined AI takes a pragmatic, results-driven approach to deep learning, with a goal of dramatically improving the productivity of deep learning developers. Its integrated AutoML platform simplifies

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Determined AI features and usability ratings that predict user satisfaction
    7.7
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    9.4
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Houston, Texas
    Twitter
    @DeterminedAI
    1,739 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    14 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Determined AI takes a pragmatic, results-driven approach to deep learning, with a goal of dramatically improving the productivity of deep learning developers. Its integrated AutoML platform simplifies

Users
No information available
Industries
No information available
Market Segment
  • 55% Small-Business
  • 36% Mid-Market
Determined AI features and usability ratings that predict user satisfaction
7.7
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
9.4
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.7
Seller Details
Year Founded
2017
HQ Location
Houston, Texas
Twitter
@DeterminedAI
1,739 Twitter followers
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pixis is the digital marketer’s AI sidekick, that empowers you to use your own data across platforms to reach the best outcomes with confidence, all while saving teams time and effort. Our AI-powere

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 43% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Advance 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
    Advertising Management
    1
    Affordable
    1
    AI Capabilities
    1
    AI Technology
    1
    Analytics
    1
    Cons
    Difficult Learning
    1
    Functionality Limitations
    1
    Initial Difficulty
    1
    Learning Curve
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Advance 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
    9.2
    Framework Flexibility
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Pixis
    Year Founded
    2018
    HQ Location
    California , US
    Twitter
    @Pixis_AI
    157 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    468 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pixis is the digital marketer’s AI sidekick, that empowers you to use your own data across platforms to reach the best outcomes with confidence, all while saving teams time and effort. Our AI-powere

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 43% Enterprise
Advance 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
Advertising Management
1
Affordable
1
AI Capabilities
1
AI Technology
1
Analytics
1
Cons
Difficult Learning
1
Functionality Limitations
1
Initial Difficulty
1
Learning Curve
1
Limited Features
1
Advance 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
9.2
Framework Flexibility
Average: 8.7
Seller Details
Seller
Pixis
Year Founded
2018
HQ Location
California , US
Twitter
@Pixis_AI
157 Twitter followers
LinkedIn® Page
www.linkedin.com
468 employees on LinkedIn®