Compare Alteryx and Red Hat OpenShift Data Science 
At a Glance
Market Segments
Enterprise (63.5% of reviews)
Mid-Market (44.0% of reviews)
Entry-Level Pricing
$3,000.00 1 User Per Year
No pricing available
Alteryx
Star Rating
(670)4.6 out of 5
Market Segments
Enterprise (63.5% of reviews)
Pros & Cons
Entry-Level Pricing
$3,000.00 1 User Per Year
Free Trial is available
Browse all 3 pricing plansRed Hat OpenShift Data Science
Star Rating
(25)4.4 out of 5
Market Segments
Mid-Market (44.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Red Hat OpenShift Data ScienceSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Alteryx excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Red Hat OpenShift Data Science. Users appreciate its comprehensive data science capabilities, including powerful ETL tools and advanced analytics features that streamline data preparation and visualization.
- Users say that Alteryx's intuitive drag-and-drop interface makes it easy to manipulate and analyze data, which is a standout feature for those looking for a low-code solution. In contrast, while Red Hat OpenShift Data Science offers robust containerization features, some users find it less user-friendly for everyday tasks.
- Reviewers mention that Alteryx has a strong presence in the enterprise market, with a majority of its reviews coming from larger organizations. This suggests that it is well-suited for complex data workflows, whereas Red Hat OpenShift Data Science is more favored by mid-market users, which may limit its appeal for larger enterprises.
- According to verified reviews, Alteryx's implementation process is praised for its speed and ease, with users highlighting the helpful onboarding resources. On the other hand, Red Hat OpenShift Data Science, while powerful, may require more technical expertise to set up effectively, which could be a barrier for some users.
- Users appreciate the quality of support provided by both platforms, with Alteryx receiving positive feedback for its responsive customer service. However, Red Hat OpenShift Data Science has also been noted for its excellent documentation and support, particularly in helping users navigate its containerization features.
- Reviewers highlight that Alteryx's ability to handle large datasets efficiently is a major advantage, making it a preferred choice for data-heavy tasks. In contrast, Red Hat OpenShift Data Science's unique approach to managing data science workflows through containerization offers flexibility, but some users may find it less straightforward for routine data analysis tasks.
Pricing
Entry-Level Pricing
Alteryx
Starter Edition
$3,000.00
1 User Per Year
For Small Teams That Need to Perform Basic Business Analytics
Prepare and analyze data with code-free software on flat files.
- Essential drag-and-drop data preparation (Blend, Transform, Join, Aggregate, etc.)
- Create code-free data analytics workflows
- Share data analytics workflows
Red Hat OpenShift Data Science
No pricing availableFree Trial
Alteryx
Free Trial is available
Red Hat OpenShift Data Science
No trial information availableRatings
Meets Requirements
8.8
326
8.8
23
Ease of Use
8.7
470
8.5
23
Ease of Setup
8.6
265
Not enough data
Ease of Admin
8.3
83
Not enough data
Quality of Support
8.5
306
8.6
21
Has the product been a good partner in doing business?
8.9
87
Not enough data
Product Direction (% positive)
9.2
313
10.0
23
Features by Category
Reports
7.6
190
|
Verified
Not enough data
8.2
136
Not enough data
6.9
187
|
Verified
Not enough data
7.8
118
Not enough data
7.1
161
|
Verified
Not enough data
Self Service
8.9
199
|
Verified
Not enough data
9.1
202
|
Verified
Not enough data
9.0
193
|
Verified
Not enough data
8.3
187
|
Verified
Not enough data
8.5
190
|
Verified
Not enough data
8.0
152
|
Verified
Not enough data
Advanced Analytics
8.1
168
|
Verified
Not enough data
7.3
182
|
Verified
Not enough data
8.3
170
|
Verified
Not enough data
Building Reports
9.1
150
|
Verified
Not enough data
8.8
140
|
Verified
Not enough data
7.4
106
|
Verified
Not enough data
7.8
112
|
Verified
Not enough data
Platform
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
Reports
7.6
190
|
Verified
Not enough data
8.2
136
Not enough data
6.9
187
|
Verified
Not enough data
7.8
118
Not enough data
7.1
161
|
Verified
Not enough data
Data Preparation
8.8
113
|
Verified
Not enough data
8.6
102
|
Verified
Not enough data
Data Modeling and Blending
8.9
116
|
Verified
Not enough data
9.1
117
|
Verified
Not enough data
9.2
112
|
Verified
Not enough data
Generative AI
7.6
34
Not enough data
8.0
35
Not enough data
Agentic AI - Analytics Platforms
7.9
12
Not enough data
8.2
12
Not enough data
7.5
12
Not enough data
8.1
12
Not enough data
8.1
12
Not enough data
7.5
12
Not enough data
7.6
12
Not enough data
Self Service
8.9
199
|
Verified
Not enough data
9.1
202
|
Verified
Not enough data
9.0
193
|
Verified
Not enough data
8.3
187
|
Verified
Not enough data
8.5
190
|
Verified
Not enough data
8.0
152
|
Verified
Not enough data
Deployment & Integration - Analytics Platforms
8.1
12
Not enough data
8.2
12
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
Advanced Analytics
8.1
168
|
Verified
Not enough data
7.3
182
|
Verified
Not enough data
8.3
170
|
Verified
Not enough data
Performance & Scalability - Analytics Platforms
8.3
15
Not enough data
8.5
11
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.2
11
Not enough data
8.5
11
Not enough data
8.2
11
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.7
10
Not enough data
8.2
10
Not enough data
8.3
10
Not enough data
7.8
10
Not enough data
Personalized Intelligence - Analytics Platforms
8.3
10
Not enough data
8.5
10
Not enough data
8.8
10
Not enough data
Building Reports
9.1
150
|
Verified
Not enough data
8.8
140
|
Verified
Not enough data
7.4
106
|
Verified
Not enough data
7.8
112
|
Verified
Not enough data
Cartography
8.0
27
Not enough data
7.9
23
Not enough data
7.7
27
Not enough data
7.9
25
Not enough data
Analysis
8.7
25
Not enough data
9.3
26
Not enough data
9.3
27
Not enough data
9.1
26
Not enough data
Reporting
9.3
27
Not enough data
8.3
20
Not enough data
9.1
24
Not enough data
Data Source Access
8.9
155
Not enough data
8.8
168
Not enough data
8.1
135
Not enough data
Data Interaction
8.5
138
Not enough data
8.4
135
Not enough data
8.7
150
Not enough data
9.1
171
Not enough data
9.2
165
Not enough data
9.2
170
Not enough data
8.7
154
Not enough data
8.5
139
Not enough data
Data Exporting
8.9
154
Not enough data
8.8
157
Not enough data
9.2
169
Not enough data
Generative AI
6.6
28
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
System
9.1
52
8.9
22
Model Development
7.9
42
8.8
23
8.8
50
8.8
23
8.0
48
8.7
23
8.2
46
8.6
23
Model Development
8.4
50
8.8
23
Machine/Deep Learning Services
7.9
37
8.5
22
7.9
35
8.3
20
7.9
33
8.6
20
7.9
33
8.3
20
Machine/Deep Learning Services
7.9
35
8.6
20
7.9
32
8.7
21
Deployment
Feature Not Available
8.6
22
8.4
44
8.8
22
8.5
46
8.5
22
Generative AI
6.8
10
8.3
5
6.3
9
8.7
5
7.2
10
8.7
5
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Presentation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
System
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
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
Data Connectivity and Prep - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Autonomous Insight Generation - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Interaction and Workflow - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
AI Agent Management - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.4
61
Not enough data
8.6
61
Not enough data
8.3
61
Not enough data
Data Analysis
9.1
68
Not enough data
9.0
66
Not enough data
Decision Making
8.6
64
Not enough data
7.4
67
Not enough data
8.4
69
Not enough data
9.0
64
Not enough data
Generative AI
7.1
15
Not enough data
7.3
16
Not enough data
Data Transformation
8.4
69
|
Verified
Not enough data
8.8
77
|
Verified
Not enough data
Connectivity
8.4
51
|
Verified
Not enough data
8.3
47
|
Verified
Not enough data
8.9
69
|
Verified
Not enough data
Feature Not Available
Not enough data
Operations
7.7
76
|
Verified
Not enough data
9.1
82
|
Verified
Not enough data
8.4
62
|
Verified
Not enough data
8.6
64
|
Verified
Not enough data
8.1
58
|
Verified
Not enough data
Building Reports
9.1
150
|
Verified
Not enough data
8.8
140
|
Verified
Not enough data
7.4
106
|
Verified
Not enough data
7.8
112
|
Verified
Not enough data
Platform
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
Categories
Categories
Shared Categories
Alteryx and Red Hat OpenShift Data Science are categorized as Data Science and Machine Learning Platforms
Unique Categories
Alteryx is categorized as Emerging AI Software, Data Preparation, Location Intelligence, Big Data Integration Platforms, ETL Tools, Natural Language Generation (NLG), Big Data Analytics, Machine Learning, Analytics Platforms, Predictive Analytics, Agentic Analytics, and Low-Code Machine Learning Platforms
Red Hat OpenShift Data Science has no unique categories
Reviews
Reviewers' Company Size
Alteryx
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Red Hat OpenShift Data Science
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
Financial Services
12.0%
Accounting
9.9%
Information Technology and Services
8.0%
Banking
5.4%
Insurance
4.6%
Other
60.2%
Market Research
32.0%
Marketing and Advertising
20.0%
Information Technology and Services
8.0%
Computer Software
8.0%
Transportation/Trucking/Railroad
4.0%
Other
28.0%
Discussions
What's the one thing that Alteryx brings to the play which other platforms lack?
3 Comments
SM
A very vibrant and helpful community.Read more
Is there any free trail for Alteryx analytics gallery?
1 Comment
SJ
Yes, every user gets 1 month's free trial. It is system specific though.Read more
How can teams share dashboards and insights from Alteryx with stakeholders who don’t have a platform license?
1 Comment
BP
Comment deleted by user.Read more
Red Hat OpenShift Data Science has no discussions with answers
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