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Compare Domino Enterprise AI Platform and TensorFlow 
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At a Glance
Market Segments
Enterprise (48.1% of reviews)
Small-Business (50.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Domino Enterprise AI Platform
Star Rating
(28)4.3 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Domino Enterprise AI PlatformTensorFlow
Star Rating
(135)4.5 out of 5
Market Segments
Small-Business (50.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about TensorFlowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that TensorFlow excels in model training, achieving a score of 9.3, while Domino Enterprise AI Platform trails with a score of 8.5. Reviewers mention that TensorFlow's extensive community support and resources make it easier to find solutions and optimize models effectively.
- Reviewers mention that TensorFlow offers superior pre-built algorithms with a score of 8.6 compared to Domino's 7.9. Users say that this feature allows for quicker implementation of machine learning solutions, which is particularly beneficial for small businesses looking to scale rapidly.
- G2 users highlight that TensorFlow's language support is robust, scoring 8.9, while Domino's support is rated lower at 7.4. Users report that this flexibility in language options allows for a more diverse range of applications and easier integration into existing workflows.
- Users on G2 indicate that Domino Enterprise AI Platform shines in deployment scalability, scoring 8.6, compared to TensorFlow's 7.8. Reviewers mention that this makes Domino a better choice for enterprises that require a scalable solution to handle large datasets and complex models.
- Reviewers mention that TensorFlow's ease of use is rated at 7.6, which some users find challenging, while Domino's score of 8.2 suggests a more user-friendly interface. Users report that this difference can significantly impact the onboarding process for new team members.
- Users say that TensorFlow's data ingestion and wrangling capabilities are rated at 8.6, outperforming Domino's 7.6. Reviewers mention that this feature is crucial for preprocessing data efficiently, which is a common bottleneck in machine learning projects.
Pricing
Entry-Level Pricing
Domino Enterprise AI Platform
No pricing availableTensorFlow
No pricing availableFree Trial
Domino Enterprise AI Platform
Free Trial is available
TensorFlow
No trial information availableRatings
Meets Requirements
8.4
22
9.2
118
Ease of Use
8.4
22
8.0
121
Ease of Setup
7.8
9
8.3
99
Ease of Admin
8.1
6
7.9
39
Quality of Support
8.1
20
8.7
105
Has the product been a good partner in doing business?
8.6
6
8.3
36
Product Direction (% positive)
9.0
23
9.3
115
Features by Category
Deployment
8.6
7
Not enough data
8.3
7
Not enough data
7.1
7
Not enough data
6.4
7
Not enough data
8.1
7
Not enough data
Deployment
9.0
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.1
7
Not enough data
8.8
7
Not enough data
Management
7.8
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Operations
8.6
6
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
Management
8.6
6
Not enough data
9.3
5
Not enough data
8.3
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.1
15
8.6
70
Model Development
8.5
17
8.9
96
Feature Not Available
7.2
82
8.1
17
8.8
96
8.6
17
9.2
95
Model Development
8.2
14
9.0
69
Machine/Deep Learning Services
8.4
16
9.1
93
8.7
17
9.0
88
8.3
16
8.8
86
8.3
17
9.4
96
Machine/Deep Learning Services
8.2
14
8.7
64
8.2
14
9.2
68
Deployment
8.2
17
8.5
80
8.6
17
8.7
89
8.1
17
9.0
89
Generative AI
7.6
7
8.0
11
7.6
7
7.7
11
7.6
7
8.0
11
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.3
5
Not enough data
7.0
5
Not enough data
7.7
5
Categories
Categories
Shared Categories
Domino Enterprise AI Platform and TensorFlow are categorized as Data Science and Machine Learning Platforms
Unique Categories
Domino Enterprise AI Platform is categorized as MLOps Platforms
TensorFlow has no unique categories
Reviews
Reviewers' Company Size
Domino Enterprise AI Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TensorFlow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
25.9%
Information Technology and Services
18.5%
Consulting
7.4%
Retail
7.4%
Insurance
7.4%
Other
33.3%
Computer Software
27.7%
Information Technology and Services
20.0%
Research
7.7%
Computer & Network Security
4.6%
Higher Education
3.1%
Other
36.9%
Alternatives
Discussions
Dominoes Integration
1 Comment
Official Response from Domino Enterprise AI Platform
Absolutely – please visit https://docs.dominodatalab.com/en/latest/api_guide/f35c19/api-guide/Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
What is TensorFlow and why it is used?
2 Comments
PS
TensorFlow is an open-source library that lets you generate various models AI/ML/DL models.Read more
TensorFlow has no more discussions with answers
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