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Compare DataRobot and SAS Enterprise Miner 
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At a Glance
Market Segments
Small-Business (54.2% of reviews)
Enterprise (57.6% 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 DataRobotSAS Enterprise Miner
Star Rating
(192)4.2 out of 5
Market Segments
Enterprise (57.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Enterprise MinerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SAS Enterprise Miner excels in its Data Mining capabilities, scoring an impressive 8.3, while DataRobot, although strong, scores slightly lower at 8.1. Reviewers mention that SAS's extensive library of algorithms provides a more robust environment for complex data analysis.
- Reviewers mention that DataRobot shines in Pre-Built Algorithms, achieving a score of 8.8 compared to SAS's 8.3. Users on G2 appreciate the ease of access to these algorithms, which significantly speeds up the model development process.
- G2 users highlight that SAS Enterprise Miner has a higher score of 8.1 in Feature Engineering, indicating a more comprehensive set of tools for transforming and preparing data. In contrast, DataRobot's score of 8.1 suggests it offers similar capabilities but may lack some advanced features.
- Users say that DataRobot's Ease of Use is a standout feature, with a score of 8.5, making it more user-friendly for those new to data science. SAS Enterprise Miner, with a score of 7.7, is noted for its steeper learning curve, which some users find challenging.
- Reviewers mention that SAS Enterprise Miner provides superior Quality Control features, scoring 7.8, which is crucial for enterprise-level applications. DataRobot, while effective, scores lower in this area, indicating potential gaps in quality assurance processes.
- Users report that DataRobot's Deployment capabilities are highly rated, particularly in Managed Service and Application deployment, both scoring 8.1. In contrast, SAS Enterprise Miner scores higher in Scalability at 9.0, making it a better choice for organizations anticipating growth.
Pricing
Entry-Level Pricing
DataRobot
No pricing availableSAS Enterprise Miner
No pricing availableFree Trial
DataRobot
No trial information availableSAS Enterprise Miner
No trial information availableRatings
Meets Requirements
8.8
23
8.7
168
Ease of Use
8.5
23
7.7
168
Ease of Setup
7.0
11
7.7
48
Ease of Admin
7.4
11
7.7
47
Quality of Support
7.9
22
8.2
151
Has the product been a good partner in doing business?
8.3
11
8.3
47
Product Direction (% positive)
8.4
22
7.4
159
Features by Category
Administration
Not enough data
7.8
6
Not enough data
7.2
6
Not enough data
6.4
6
Capabilities
Not enough data
7.2
6
Not enough data
8.1
6
Not enough data
7.8
6
Not enough data
7.5
6
Methodology
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
8.3
6
Generative AI
Not enough data
6.7
6
Not enough data
6.7
6
System
Not enough data
8.1
8
Model Development
Not enough data
7.1
8
Not enough data
7.7
8
Not enough data
8.8
8
Not enough data
8.5
8
Model Development
Not enough data
8.1
8
Machine/Deep Learning Services
Not enough data
8.3
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.3
8
Machine/Deep Learning Services
Not enough data
8.1
7
Not enough data
7.6
7
Deployment
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
9.0
7
Generative AI
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.8
7
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
8.1
86
Not enough data
8.3
93
Not enough data
8.0
89
Data Analysis
Not enough data
9.1
103
Not enough data
8.4
103
Decision Making
Not enough data
8.6
97
Not enough data
7.2
103
Not enough data
8.0
100
Not enough data
7.8
17
Generative AI
Not enough data
7.4
7
Not enough data
7.4
7
Categories
Categories
Shared Categories
DataRobot and SAS Enterprise Miner are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
DataRobot is categorized as Low-Code Machine Learning Platforms
SAS Enterprise Miner is categorized as Statistical Analysis
Reviews
Reviewers' Company Size
DataRobot
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Enterprise Miner
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%
Higher Education
17.4%
Information Technology and Services
11.4%
Hospital & Health Care
10.9%
Research
7.6%
Government Administration
6.0%
Other
46.7%
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 advanced analytics platform?
1 Comment
GS
Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of...Read more
SAS Enterprise Miner has no more discussions with answers
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