Compare Dataiku and SAS Viya 
Featured Products
At a Glance
Market Segments
Enterprise (61.7% of reviews)
Small-Business (34.0% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansSAS Viya
Star Rating
(726)4.3 out of 5
Market Segments
Small-Business (34.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS ViyaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in user-friendliness, with many users praising its intuitive interface and strong collaboration features. This makes it particularly appealing for teams of data scientists, analysts, and engineers who need to work together seamlessly on projects.
- Users say that SAS Viya stands out for its cloud-native architecture, which enhances scalability and flexibility. Reviewers appreciate how this allows for easy access to projects from various locations, making it a strong choice for organizations with remote teams.
- According to verified reviews, Dataiku's implementation process is often highlighted as quick and straightforward, with users noting the effectiveness of its onboarding wizard. This can significantly reduce the time it takes for teams to start leveraging the platform.
- Reviewers mention that SAS Viya provides robust analytical capabilities, particularly in keyword and sentiment analysis. Users have expressed satisfaction with features like term maps that visually represent correlations, which can be invaluable for marketing and data-driven decision-making.
- G2 reviewers highlight that Dataiku supports both coders and non-coders, allowing users at different skill levels to engage with data effectively. This inclusivity is a key advantage for organizations looking to democratize data access across their teams.
- Users report that while SAS Viya offers powerful statistical tools, some find its user interface less intuitive compared to Dataiku. This can lead to a steeper learning curve for new users, particularly those who are not as familiar with traditional SAS environments.
Pricing
Entry-Level Pricing
Dataiku
Install Dataiku on Your Infrastructure
Free
3 Users
Download Free Edition on Mac, Linux, or virtual machine | Collaborate with up to 3 users | Prepare data and build basic data projects and apps (no deployment, automation, governance)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
- The LLM Mesh
SAS Viya
No pricing availableFree Trial
Dataiku
Free Trial is available
SAS Viya
Free Trial is available
Ratings
Meets Requirements
8.7
171
8.5
530
Ease of Use
8.8
170
8.1
590
Ease of Setup
8.1
132
8.0
442
Ease of Admin
8.0
61
7.6
159
Quality of Support
8.6
156
8.3
501
Has the product been a good partner in doing business?
8.6
61
8.2
162
Product Direction (% positive)
9.0
167
8.9
528
Features by Category
Reports
7.8
76
8.3
242
7.7
75
8.1
234
7.5
76
8.5
236
7.5
74
8.1
234
7.6
76
8.4
230
Data Preparation
8.7
65
8.4
209
8.2
63
8.3
207
Data Modeling and Blending
8.6
62
8.4
209
8.6
62
8.7
208
8.7
62
8.5
209
Generative AI
7.9
50
Feature Not Available
8.0
50
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
7.8
92
Not enough data
7.9
90
Not enough data
8.0
90
Not enough data
8.0
89
Not enough data
7.9
89
Not enough data
7.6
89
Not enough data
8.1
89
Self Service
8.2
75
8.3
231
8.6
74
8.3
232
8.4
74
8.4
232
7.9
74
8.1
228
8.7
74
8.1
230
8.1
74
8.2
226
Deployment & Integration - Analytics Platforms
Not enough data
8.3
88
Not enough data
8.2
89
Not enough data
8.1
88
Not enough data
8.5
88
Advanced Analytics
8.4
74
8.4
230
7.8
75
8.8
231
8.0
74
8.5
233
Performance & Scalability - Analytics Platforms
Not enough data
8.6
98
Not enough data
8.3
91
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.4
93
Not enough data
8.3
95
Not enough data
8.5
93
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.8
88
Not enough data
7.9
87
Not enough data
8.0
87
Not enough data
7.8
88
Personalized Intelligence - Analytics Platforms
Not enough data
8.1
88
Not enough data
8.0
87
Not enough data
7.9
88
Building Reports
8.5
91
8.5
200
8.6
88
8.5
198
7.7
85
7.8
194
8.1
89
8.0
196
Data Source Access
Not enough data
8.5
114
Not enough data
8.3
116
Not enough data
8.1
112
Data Interaction
Not enough data
8.5
113
Not enough data
8.1
112
Not enough data
8.5
113
Not enough data
8.7
111
Not enough data
8.7
111
Not enough data
8.7
113
Not enough data
8.3
111
Not enough data
8.5
110
Data Exporting
Not enough data
8.4
112
Not enough data
8.3
112
Not enough data
8.5
109
Generative AI
Not enough data
Feature Not Available
Data
Not enough data
8.6
12
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
12
Analytics
Not enough data
7.9
12
Administration
Not enough data
8.3
23
Not enough data
8.6
23
Not enough data
8.3
23
Not enough data
8.6
24
Management
Not enough data
8.1
24
Not enough data
8.3
23
Not enough data
8.6
23
Not enough data
8.8
21
Not enough data
7.8
23
Compliance
Not enough data
8.3
22
Not enough data
Feature Not Available
Not enough data
8.3
23
Not enough data
8.5
23
Security
Not enough data
8.6
23
Not enough data
8.3
21
Not enough data
Feature Not Available
Data Quality
Not enough data
8.5
24
Not enough data
8.5
23
Not enough data
8.3
23
Maintainence
Not enough data
8.3
22
Not enough data
Feature Not Available
Generative AI
Not enough data
7.8
23
Not enough data
8.0
23
Agentic AI - Data Governance
Not enough data
8.7
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
8.7
5
Not enough data
9.3
5
Administration
Not enough data
8.9
135
Not enough data
8.9
139
Not enough data
8.8
136
Capabilities
Not enough data
9.2
141
Not enough data
8.9
138
Not enough data
8.7
136
Not enough data
8.6
133
Methodology
Not enough data
8.9
137
Not enough data
9.2
139
Not enough data
9.1
137
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
8.1
15
8.1
13
8.7
15
8.1
14
8.6
15
8.2
13
8.9
15
8.5
14
9.0
15
8.3
14
Deployment
7.8
12
8.2
14
8.5
13
8.3
13
8.5
13
8.3
13
8.8
13
8.2
14
8.8
13
8.7
13
Management
7.6
13
7.6
13
8.5
13
8.5
13
8.3
13
8.5
13
7.8
13
8.5
14
Operations
8.5
13
8.8
14
8.3
13
7.9
14
8.8
13
8.8
14
Management
7.5
12
7.9
13
8.5
13
8.2
14
7.9
13
8.1
13
Generative AI
8.3
6
Feature Not Available
8.3
6
Feature Not Available
System
8.6
75
8.4
73
Model Development
8.4
78
8.1
87
8.8
77
8.5
81
8.6
78
8.3
81
8.5
77
8.7
81
Model Development
8.5
77
8.3
70
Machine/Deep Learning Services
8.0
74
7.4
75
8.1
74
7.5
77
7.9
73
7.3
75
7.9
72
8.0
77
Machine/Deep Learning Services
7.7
68
7.6
69
7.9
69
7.9
71
Deployment
8.1
74
8.2
79
8.2
77
8.0
76
8.3
76
8.1
81
Generative AI
8.1
60
Feature Not Available
8.0
60
Feature Not Available
7.7
59
Feature Not Available
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.6
26
Not enough data
7.2
26
Not enough data
7.4
26
Not enough data
7.1
26
Not enough data
7.0
26
Not enough data
7.0
26
Not enough data
7.4
26
Financial Planning
Not enough data
7.8
10
Not enough data
8.2
10
Not enough data
8.5
10
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
Not enough data
Not enough data
Not enough data
Financial Insight
Not enough data
8.0
10
Not enough data
8.8
10
Not enough data
7.9
11
Data
Not enough data
8.6
11
Not enough data
8.5
10
Not enough data
8.2
10
Not enough data
8.5
10
Status Communication
Not enough data
7.8
10
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
8.5
11
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
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
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
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
Management
Not enough data
8.8
27
Not enough data
9.0
28
Not enough data
9.3
28
Not enough data
8.9
27
Not enough data
8.8
27
Maintenance
Not enough data
8.7
26
Not enough data
8.8
26
Not enough data
9.0
26
Security
Not enough data
8.9
28
Not enough data
8.6
27
Integration
Not enough data
8.0
20
Not enough data
8.2
19
Business Logic
Not enough data
7.5
19
Not enough data
7.3
19
Not enough data
8.2
19
Management
Not enough data
7.7
18
Not enough data
7.5
19
Analytics
Not enough data
8.4
20
Not enough data
7.6
19
Deployment
Not enough data
8.2
19
Not enough data
7.6
17
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Decision Management Platforms
Not enough data
7.5
6
Not enough data
6.7
6
Not enough data
6.4
6
Not enough data
6.7
6
Not enough data
6.1
6
Not enough data
6.7
6
Not enough data
7.5
6
Setup
Not enough data
7.7
19
Not enough data
7.5
19
Not enough data
8.0
19
Data
Not enough data
8.3
20
Not enough data
8.6
19
Analysis
Not enough data
8.4
19
Not enough data
7.9
19
Not enough data
7.9
18
Not enough data
8.0
19
Not enough data
7.9
18
Not enough data
7.4
18
Not enough data
7.8
18
Customization
Not enough data
7.6
18
Not enough data
7.5
19
Not enough data
8.1
19
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Scalability and Performance - Generative AI Infrastructure
8.1
18
Not enough data
7.6
19
Not enough data
7.5
16
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.0
17
Not enough data
7.3
10
Not enough data
8.1
9
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
17
Not enough data
7.7
18
Not enough data
7.5
17
Not enough data
Security and Compliance - Generative AI Infrastructure
7.3
16
Not enough data
7.4
16
Not enough data
7.7
16
Not enough data
Usability and Support - Generative AI Infrastructure
7.3
17
Not enough data
7.1
16
Not enough data
Integration - Machine Learning
8.7
26
8.2
34
Learning - Machine Learning
8.3
27
8.4
36
7.9
28
8.4
36
8.0
28
8.5
35
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
7.5
11
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
Not enough data
7.9
11
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
Not enough data
7.7
11
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
Not enough data
6.7
11
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
Not enough data
7.4
11
Not enough data
Security - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
7.4
11
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
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
Performance Optimization & Analytics - AI Orchestration
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
Governance & Compliance Controls - AI Orchestration
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
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
8.7
15
Not enough data
8.7
15
Not enough data
9.0
15
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
9.0
15
Not enough data
8.8
15
Not enough data
8.7
15
Statistical Tool
8.2
35
8.6
73
8.5
35
8.6
74
8.0
35
8.6
74
Data Analysis
8.5
37
8.9
74
8.8
37
8.8
74
Decision Making
8.6
35
8.7
77
7.9
36
9.0
78
7.8
35
8.9
76
8.6
36
8.6
75
Generative AI
8.6
20
Feature Not Available
8.3
20
Feature Not Available
Data Transformation
8.5
44
Not enough data
9.2
39
Not enough data
Connectivity
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Not enough data
Operations
8.1
42
Not enough data
9.1
41
Not enough data
8.7
40
Not enough data
8.6
40
Not enough data
8.9
35
Not enough data
Agentic AI - AI Agents
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
Functionality
Not enough data
8.7
67
Not enough data
8.7
66
Not enough data
9.0
64
Not enough data
8.8
64
Not enough data
8.8
63
Management
Not enough data
9.2
66
Not enough data
9.0
62
Not enough data
8.9
64
Not enough data
8.9
62
Not enough data
Feature Not Available
Generative AI
Not enough data
8.3
60
Not enough data
8.2
61
Building Reports
8.5
91
8.5
200
8.6
88
8.5
198
7.7
85
7.8
194
8.1
89
8.0
196
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
Dataiku and SAS Viya are categorized as Low-Code Machine Learning Platforms, MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, Analytics Platforms, and Predictive Analytics
Unique Categories
Dataiku is categorized as AI Orchestration, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, AWS Marketplace, Big Data Analytics, and AI Agents For Business Operations
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Viya
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
14.9%
Pharmaceuticals
7.4%
Retail
5.7%
Manufacturing
5.1%
Consulting
5.1%
Other
61.7%
Pharmaceuticals
12.3%
Computer Software
8.5%
Banking
8.4%
Higher Education
8.1%
Financial Services
6.2%
Other
56.5%
Alternatives
Discussions
Can I securely work on my sensitive data?
2 Comments
PB
Hi,
DSS is on-premise software but we also provide a Amazon image and Docker if desired. You can try DSS on your own computer for free by downloading the...Read more
What data visualization and reporting methods do you support?
2 Comments
Official Response from Dataiku
Dataiku supports a number of tools for engaging stakeholders and team members, including:
- 25 types of interactive charts
- Dashboards that allow you...Read more
Can I test Data Science Studio ?
1 Comment
PB
Hi,
First of all, thanks for your interest. You can try DSS out for free on Dataiku's website (www.dataiku.com/try). You can download the Community Edition...Read more
SAS Viya has no discussions with answers
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