Best MLOps Platforms - Page 5

Matthew Miller
MM
Researched and written by Matthew Miller

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

Best MLOps Platforms At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
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Best for Enterprise:
Highest User Satisfaction:

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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163 Listings in MLOps Platforms Available
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Spectrum Conductor Deep Learning Impact is add-on software to IBM Spectrum Conductor. It enables you to build a deep learning environment that allows data scientists to focus on training, tuning a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Spectrum Conductor Deep Learning Impact (DLI) features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
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  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,096 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 Spectrum Conductor Deep Learning Impact is add-on software to IBM Spectrum Conductor. It enables you to build a deep learning environment that allows data scientists to focus on training, tuning a

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
IBM Spectrum Conductor Deep Learning Impact (DLI) features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,096 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Iguazio’s AI software enables enterprises to develop, deploy and manage AI applications, drastically shortening the time required to create real business value with AI. Using Iguazio, organizations c

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Iguazio 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
    2
    AI Capabilities
    1
    Analytics
    1
    Automation
    1
    Capabilities
    1
    Cons
    Error Management
    1
    Logging Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Iguazio features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    9.4
    Scalability
    Average: 8.9
    8.9
    Metrics
    Average: 8.7
    9.4
    Framework Flexibility
    Average: 8.6
  • Seller Details
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  • Seller Details
    Seller
    Iguazio
    Year Founded
    2014
    Twitter
    @iguazio
    938 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.

Iguazio’s AI software enables enterprises to develop, deploy and manage AI applications, drastically shortening the time required to create real business value with AI. Using Iguazio, organizations c

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Iguazio 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
2
AI Capabilities
1
Analytics
1
Automation
1
Capabilities
1
Cons
Error Management
1
Logging Issues
1
Iguazio features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
9.4
Scalability
Average: 8.9
8.9
Metrics
Average: 8.7
9.4
Framework Flexibility
Average: 8.6
Seller Details
Seller
Iguazio
Year Founded
2014
Twitter
@iguazio
938 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®

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

    An open-source tool and a format for reproducibility and experimentation.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Iterative.ai features and usability ratings that predict user satisfaction
    9.2
    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
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  • Seller Details
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @Iterativeai
    555 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    21 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

An open-source tool and a format for reproducibility and experimentation.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
Iterative.ai features and usability ratings that predict user satisfaction
9.2
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
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@Iterativeai
555 Twitter followers
LinkedIn® Page
www.linkedin.com
21 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Neuromation is a Synthetic Data space building an AI Developer platform to build better models.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Neuromation Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Capabilities
    2
    Ease of Use
    2
    Analytics
    1
    Capabilities
    1
    Data Handling
    1
    Cons
    Lack of Tools
    1
    Limited Resources
    1
    Performance Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neuromation features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.8
    9.4
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    8.9
    Framework Flexibility
    Average: 8.6
  • Seller Details
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  • Seller Details
    Year Founded
    2017
    HQ Location
    San Francisco, US
    Twitter
    @neuromation_io
    4,565 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.

Neuromation is a Synthetic Data space building an AI Developer platform to build better models.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Neuromation Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Capabilities
2
Ease of Use
2
Analytics
1
Capabilities
1
Data Handling
1
Cons
Lack of Tools
1
Limited Resources
1
Performance Issues
1
Neuromation features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.8
9.4
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
8.9
Framework Flexibility
Average: 8.6
Seller Details
Year Founded
2017
HQ Location
San Francisco, US
Twitter
@neuromation_io
4,565 Twitter followers
LinkedIn® Page
www.linkedin.com
13 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accelerating results of Data Science and ML teams Why NimbleBox - Easy experimentation - Simple API deployment - Automated workflows - Team management

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
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  • NimbleBox.ai | MLOps for teams features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.8
    0.0
    No information available
    6.7
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Francisco, US
    Twitter
    @NimbleBoxAI
    466 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Accelerating results of Data Science and ML teams Why NimbleBox - Easy experimentation - Simple API deployment - Automated workflows - Team management

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
NimbleBox.ai | MLOps for teams features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.8
0.0
No information available
6.7
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Year Founded
2018
HQ Location
San Francisco, US
Twitter
@NimbleBoxAI
466 Twitter followers
LinkedIn® Page
in.linkedin.com
37 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    PrimeHub is a on-premise machine learning platform that enables AI/ML teams to focus on their true productivity in a collaborative environment. PrimeHub helps administrators manage hardware resources,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • PrimeHub 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
    2
    Fast Processing
    2
    Setup Ease
    2
    AI Integration
    1
    Data Management
    1
    Cons
    Insufficient Learning Resources
    1
    Lack of Guidance
    1
    Performance Issues
    1
    Poor Documentation
    1
    Poor User Interface
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PrimeHub features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    InfuseAI
Product Description
How are these determined?Information
This description is provided by the seller.

PrimeHub is a on-premise machine learning platform that enables AI/ML teams to focus on their true productivity in a collaborative environment. PrimeHub helps administrators manage hardware resources,

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
PrimeHub 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
2
Fast Processing
2
Setup Ease
2
AI Integration
1
Data Management
1
Cons
Insufficient Learning Resources
1
Lack of Guidance
1
Performance Issues
1
Poor Documentation
1
Poor User Interface
1
PrimeHub features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
InfuseAI
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Superb AI Suite 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
    5
    Data Labeling
    4
    Data Labelling
    4
    Annotation Efficiency
    3
    Efficiency
    3
    Cons
    Missing Features
    2
    Annotation Issues
    1
    Difficult Learning
    1
    Difficult Setup
    1
    Inadequate Filtering
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Superb AI Suite features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Mateo , US
    Twitter
    @superb_hq
    414 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Superb AI Suite 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
5
Data Labeling
4
Data Labelling
4
Annotation Efficiency
3
Efficiency
3
Cons
Missing Features
2
Annotation Issues
1
Difficult Learning
1
Difficult Setup
1
Inadequate Filtering
1
Superb AI Suite features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Year Founded
2018
HQ Location
San Mateo , US
Twitter
@superb_hq
414 Twitter followers
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
By Abzu
(2)5.0 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.

    Abzu was born from a desire to challenge the fundamental assumptions of contemporary AI, believing that the future of AI lies in the more lifelike simulation of self-organizing systems. If it’s AI, it

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Abzu 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
    This product has not yet received any positive sentiments.
    Cons
    Functionality Limitations
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Abzu features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    5.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Abzu
    Year Founded
    2018
    HQ Location
    Nordhavn, DK
    LinkedIn® Page
    www.linkedin.com
    27 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Abzu was born from a desire to challenge the fundamental assumptions of contemporary AI, believing that the future of AI lies in the more lifelike simulation of self-organizing systems. If it’s AI, it

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Abzu 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
This product has not yet received any positive sentiments.
Cons
Functionality Limitations
1
Missing Features
1
Abzu features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
5.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
Abzu
Year Founded
2018
HQ Location
Nordhavn, DK
LinkedIn® Page
www.linkedin.com
27 employees on LinkedIn®
(2)5.0 out of 5
Save to My Lists
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Arthur is the AI performance company. We help data scientists, product owners, and business leaders accelerate tabular, NLP and computer vision model operations to optimize for accuracy, explainabi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Arthur features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Arthur
    Year Founded
    2018
    HQ Location
    New York, NY
    Twitter
    @itsArthurAI
    2,102 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arthur is the AI performance company. We help data scientists, product owners, and business leaders accelerate tabular, NLP and computer vision model operations to optimize for accuracy, explainabi

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Arthur features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
Arthur
Year Founded
2018
HQ Location
New York, NY
Twitter
@itsArthurAI
2,102 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Blox.ai is the world's first general-purpose AI platform that powers applications across workflows delivering value, unlike any other point solution. With its proprietary AI-enabled architecture, Blox

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Blox.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
    AI Capabilities
    1
    Data Management
    1
    Ease of Use
    1
    Features
    1
    Productivity Improvement
    1
    Cons
    Expensive
    1
    Integration Difficulty
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Blox.ai features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.8
    6.7
    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
    Blox.ai
Product Description
How are these determined?Information
This description is provided by the seller.

Blox.ai is the world's first general-purpose AI platform that powers applications across workflows delivering value, unlike any other point solution. With its proprietary AI-enabled architecture, Blox

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Blox.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
AI Capabilities
1
Data Management
1
Ease of Use
1
Features
1
Productivity Improvement
1
Cons
Expensive
1
Integration Difficulty
1
Limited Customization
1
Blox.ai features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.8
6.7
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.6
Seller Details
Seller
Blox.ai
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dunnhumby Model Lab is an application that provides automated pipelines for deploying machine learning algorithms. When developing models, data scientists go through many steps that are often repeti

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dunnhumby Model Lab features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dunnhumby
    Year Founded
    1989
    HQ Location
    Brook Green, London
    Twitter
    @dunnhumby
    9,774 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dunnhumby Model Lab is an application that provides automated pipelines for deploying machine learning algorithms. When developing models, data scientists go through many steps that are often repeti

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Dunnhumby Model Lab features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
dunnhumby
Year Founded
1989
HQ Location
Brook Green, London
Twitter
@dunnhumby
9,774 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Falkonry LRS is a pre-packaged machine learning system that enables predictive operations. LRS allows users to review and manage all operational data in one place, offers powerful visualization and si

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Falkonry LRS 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
    2
    Capabilities
    1
    Data Storage
    1
    Machine Learning
    1
    Productivity Improvement
    1
    Cons
    Inaccuracy Issues
    1
    Model Limitations
    1
    Performance Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Falkonry LRS features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Falkonry
    Year Founded
    2012
    HQ Location
    Cupertino, California
    Twitter
    @falkonry
    421 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Falkonry LRS is a pre-packaged machine learning system that enables predictive operations. LRS allows users to review and manage all operational data in one place, offers powerful visualization and si

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Falkonry LRS 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
2
Capabilities
1
Data Storage
1
Machine Learning
1
Productivity Improvement
1
Cons
Inaccuracy Issues
1
Model Limitations
1
Performance Issues
1
Falkonry LRS features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
Falkonry
Year Founded
2012
HQ Location
Cupertino, California
Twitter
@falkonry
421 Twitter followers
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operati

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Fiddler 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
    Capabilities
    1
    Easy Integrations
    1
    Features
    1
    Model Management
    1
    Cons
    Difficult Learning
    1
    Lack of Guidance
    1
    Learning Curve
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fiddler AI features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    10.0
    Metrics
    Average: 8.7
    10.0
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fiddler
    Year Founded
    2018
    HQ Location
    Palo Alto, US
    LinkedIn® Page
    linkedin.com
    76 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operati

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Fiddler 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
Capabilities
1
Easy Integrations
1
Features
1
Model Management
1
Cons
Difficult Learning
1
Lack of Guidance
1
Learning Curve
1
Steep Learning Curve
1
Fiddler AI features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
10.0
Metrics
Average: 8.7
10.0
Framework Flexibility
Average: 8.6
Seller Details
Seller
Fiddler
Year Founded
2018
HQ Location
Palo Alto, US
LinkedIn® Page
linkedin.com
76 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hopsworks is a collaborative ML platform with highest performance Feature Store for batch and real-time data. Built around the industry's most advanced and modular feature store that provides seamless

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hopsworks 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
    Customization Flexibility
    1
    Ease of Use
    1
    Easy Integrations
    1
    Flexibility
    1
    Setup Ease
    1
    Cons
    Dependency Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hopsworks features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    10.0
    Scalability
    Average: 8.9
    6.7
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hopsworks
    HQ Location
    Åsögatan 119, Plan 2, 116 24 Stockholm
    Twitter
    @hopsworks
    1,448 Twitter followers
    LinkedIn® Page
    www.linkedin.com
Product Description
How are these determined?Information
This description is provided by the seller.

Hopsworks is a collaborative ML platform with highest performance Feature Store for batch and real-time data. Built around the industry's most advanced and modular feature store that provides seamless

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
  • 50% Mid-Market
Hopsworks 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
Customization Flexibility
1
Ease of Use
1
Easy Integrations
1
Flexibility
1
Setup Ease
1
Cons
Dependency Issues
1
Hopsworks features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
10.0
Scalability
Average: 8.9
6.7
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.6
Seller Details
Seller
Hopsworks
HQ Location
Åsögatan 119, Plan 2, 116 24 Stockholm
Twitter
@hopsworks
1,448 Twitter followers
LinkedIn® Page
www.linkedin.com
(2)4.5 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLPerf features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.7
    8.3
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLPerf
    HQ Location
    N/A
    Twitter
    @MLPerf
    665 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
MLPerf features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
8.3
Metrics
Average: 8.7
8.3
Framework Flexibility
Average: 8.6
Seller Details
Seller
MLPerf
HQ Location
N/A
Twitter
@MLPerf
665 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®