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Compare DataRobot and TensorFlow 
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At a Glance
Market Segments
Small-Business (54.2% of reviews)
Small-Business (50.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DataRobot
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DataRobotTensorFlow
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 with a score of 9.3, highlighting its robust capabilities for deep learning and neural networks, while DataRobot, with a score of 9.0, is noted for its ease of use in model development but may not match TensorFlow's depth in training complex models.
- Reviewers mention that TensorFlow's language support is rated at 8.9, which is beneficial for developers familiar with Python and other programming languages, whereas DataRobot's language support is slightly lower at 8.7, indicating a more limited range of programming options for users.
- G2 users highlight TensorFlow's strong performance in computer vision applications, scoring 9.2, which is particularly praised for its flexibility and extensive libraries, while DataRobot, scoring 9.0, is recognized for its user-friendly interface but may not offer the same level of customization for advanced users.
- Users on G2 report that TensorFlow's feature engineering capabilities are rated at 8.8, allowing for more intricate data manipulation, while DataRobot's feature engineering score of 6.6 suggests that it may not provide the same depth of tools for users looking to fine-tune their data inputs.
- Reviewers mention that TensorFlow's deployment options are rated at 8.4 for managed services, which allows for greater control and scalability, while DataRobot's deployment score of 8.6 indicates a strong application focus but may lack the same level of flexibility for custom deployments.
- Users say that TensorFlow's overall ease of use is rated at 7.6, which some find challenging, especially beginners, while DataRobot's ease of use score of 8.5 is frequently praised for its intuitive interface, making it more accessible for users without extensive programming backgrounds.
Pricing
Entry-Level Pricing
DataRobot
No pricing availableTensorFlow
No pricing availableFree Trial
DataRobot
No trial information availableTensorFlow
No trial information availableRatings
Meets Requirements
8.8
23
9.2
118
Ease of Use
8.5
23
8.0
121
Ease of Setup
7.0
11
8.3
99
Ease of Admin
7.4
11
7.9
39
Quality of Support
7.9
22
8.7
105
Has the product been a good partner in doing business?
8.3
11
8.3
36
Product Direction (% positive)
8.4
22
9.3
115
Features by Category
System
Not enough data
8.6
70
Model Development
Not enough data
8.9
96
Not enough data
7.2
82
Not enough data
8.8
96
Not enough data
9.2
95
Model Development
Not enough data
9.0
69
Machine/Deep Learning Services
Not enough data
9.1
93
Not enough data
9.0
88
Not enough data
8.8
86
Not enough data
9.4
96
Machine/Deep Learning Services
Not enough data
8.7
64
Not enough data
9.2
68
Deployment
Not enough data
8.5
80
Not enough data
8.7
89
Not enough data
9.0
89
Generative AI
Not enough data
8.0
11
Not enough data
7.7
11
Not enough data
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
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
DataRobot and TensorFlow are categorized as Data Science and Machine Learning Platforms
Unique Categories
DataRobot is categorized as Predictive Analytics and Low-Code Machine Learning Platforms
TensorFlow has no unique categories
Reviews
Reviewers' Company Size
DataRobot
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
20.8%
Information Technology and Services
12.5%
Telecommunications
8.3%
Manufacturing
4.2%
Retail
4.2%
Other
50.0%
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
How much does using Algorithmia cost?
1 Comment
CP
You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!Read more
I found a bug in an algorithm or it's not producing the expected results, what can I do?
1 Comment
CP
If you are an Algorithmia Enterprise user, contact your account team for an immediate response.
For Teams, while you are logged in to the platform, you...Read more
Can I use external libraries with my algorithms?
1 Comment
CP
Yes, you can. Algorithmia has complete package management capabilities built in to the platform. 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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