Compare DataRobot and TensorFlow 
At a Glance
Market Segments
Small-Business (54.2% of reviews)
Small-Business (51.9% 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
(138)4.5 out of 5
Market Segments
Small-Business (51.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about TensorFlowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that TensorFlow excels in overall user satisfaction, boasting a significantly higher G2 Score compared to DataRobot. Users appreciate its capabilities for developing complex applications, such as face detection, highlighting its effectiveness in handling intricate neural network tasks.
- Users say that TensorFlow's implementation process is notably quick and intuitive, with many recent users praising its onboarding experience. In contrast, DataRobot has received feedback indicating that while it automates many processes, some users find the setup less straightforward.
- Reviewers mention that TensorFlow's support quality stands out, with a strong emphasis on the community and resources available for troubleshooting. Users have noted the helpfulness of built-in functions, which enhance their development experience, whereas DataRobot's support has been described as adequate but not as robust.
- According to verified reviews, TensorFlow is favored for its flexibility and depth in machine learning projects, allowing users to dive deep into custom model development. In comparison, DataRobot is praised for its automation features, such as automated feature engineering and model comparisons, which save time but may limit customization for advanced users.
- G2 reviewers highlight that TensorFlow's recent user activity indicates a vibrant and engaged user base, with multiple reviews in the last 90 days. DataRobot, however, has not received any recent reviews, which may suggest a decline in user engagement or satisfaction.
- Users report that while both platforms serve small businesses effectively, TensorFlow's higher number of reviews and overall satisfaction ratings suggest a more reliable choice for those looking for a well-supported and feature-rich machine learning platform. DataRobot, while effective in automating processes, may not meet the same level of user expectations in terms of flexibility and community support.
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
9.1
120
Ease of Use
8.5
23
8.0
124
Ease of Setup
7.0
11
8.3
102
Ease of Admin
7.4
11
7.9
39
Quality of Support
7.9
22
8.7
106
Has the product been a good partner in doing business?
8.3
11
8.3
36
Product Direction (% positive)
8.4
22
9.2
118
Features by Category
System
Not enough data
8.6
70
Model Development
Not enough data
8.9
97
Not enough data
7.2
83
Not enough data
8.8
97
Not enough data
9.2
96
Model Development
Not enough data
9.0
69
Machine/Deep Learning Services
Not enough data
9.1
95
Not enough data
9.0
89
Not enough data
8.9
87
Not enough data
9.4
97
Machine/Deep Learning Services
Not enough data
8.7
64
Not enough data
9.3
69
Deployment
Not enough data
8.5
80
Not enough data
8.7
90
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
7.5
6
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%
Architecture & Planning
4.2%
Biotechnology
4.2%
Other
50.0%
Computer Software
27.1%
Information Technology and Services
19.5%
Research
7.5%
Computer & Network Security
4.5%
Automotive
3.0%
Other
38.3%
Alternatives
Discussions
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
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
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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