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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Small-Business (35.7% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(183)4.4 out of 5
Market Segments
Enterprise (62.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansSAS Viya
Star Rating
(618)4.3 out of 5
Market Segments
Small-Business (35.7% 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.
- Users report that Dataiku excels in ease of use with a score of 8.8, while SAS Viya trails slightly at 8.2. Reviewers mention that Dataiku's intuitive interface and drag-and-drop functionality make it accessible for users with varying technical backgrounds.
- Reviewers mention that Dataiku's strong scalability score of 9.0 is a significant advantage, allowing organizations to grow without compromising performance. In contrast, SAS Viya's scalability score of 8.1 indicates some limitations as user demands increase.
- Users on G2 highlight Dataiku's superior quality of support, scoring 8.6 compared to SAS Viya's 8.3. Reviewers say that Dataiku's support team is responsive and knowledgeable, which enhances the overall user experience.
- Reviewers mention that Dataiku's data ingestion and wrangling capabilities score 8.6, making it easier to prepare data for analysis. SAS Viya, with a score of 8.4, is noted for its robust features but lacks the same level of user-friendliness in this area.
- Users say that Dataiku's collaboration features, scoring 8.7, facilitate teamwork effectively, allowing multiple users to work on projects simultaneously. In comparison, SAS Viya's collaboration score of 8.1 suggests it may not be as effective in fostering collaborative environments.
- G2 users report that Dataiku's versioning capabilities score 8.6, which is beneficial for tracking changes and maintaining project integrity. SAS Viya's score of 7.7 indicates that while it offers versioning, it may not be as comprehensive or user-friendly as Dataiku's solution.
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
167
8.5
492
Ease of Use
8.7
166
8.1
549
Ease of Setup
8.1
128
8.0
411
Ease of Admin
8.0
60
7.5
144
Quality of Support
8.5
152
8.3
466
Has the product been a good partner in doing business?
8.6
60
8.2
147
Product Direction (% positive)
9.0
163
8.9
491
Features by Category
Reports
7.8
76
8.3
237
7.7
75
8.0
232
7.5
76
8.5
234
7.5
74
8.1
232
7.6
76
8.4
228
Data Preparation
8.7
65
8.4
209
8.2
63
8.3
205
Data Modeling and Blending
8.6
62
8.4
209
8.6
62
8.7
207
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
7.9
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
230
8.6
74
8.3
230
8.4
74
8.4
229
7.9
74
8.2
228
8.7
74
8.1
226
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
228
7.8
75
8.7
226
8.0
74
8.5
225
Performance & Scalability - Analytics Platforms
Not enough data
8.5
89
Not enough data
8.4
89
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.4
91
Not enough data
8.3
89
Not enough data
8.4
90
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
198
8.6
88
8.5
197
7.7
85
7.8
192
8.1
89
7.9
193
Data Source Access
Not enough data
8.6
112
Not enough data
8.4
114
Not enough data
8.1
110
Data Interaction
Not enough data
8.5
111
Not enough data
8.2
110
Not enough data
8.5
111
Not enough data
8.7
109
Not enough data
8.7
109
Not enough data
8.7
110
Not enough data
8.3
109
Not enough data
8.5
108
Data Exporting
Not enough data
8.4
108
Not enough data
8.2
108
Not enough data
8.5
107
Generative AI
Not enough data
Feature Not Available
Data
Not enough data
8.6
12
Not enough data
8.6
12
Not enough data
8.1
12
Not enough data
8.5
12
Analytics
Not enough data
7.9
12
Administration
Not enough data
8.4
22
Not enough data
8.6
22
Not enough data
8.3
22
Not enough data
8.7
23
Management
Not enough data
8.0
23
Not enough data
8.3
22
Not enough data
8.6
22
Not enough data
8.9
20
Not enough data
7.8
22
Compliance
Not enough data
8.3
21
Not enough data
Feature Not Available
Not enough data
8.3
22
Not enough data
8.5
22
Security
Not enough data
8.6
22
Not enough data
8.3
20
Not enough data
Feature Not Available
Data Quality
Not enough data
8.6
23
Not enough data
8.5
22
Not enough data
8.3
22
Maintainence
Not enough data
8.3
21
Not enough data
Feature Not Available
Generative AI
Not enough data
7.8
22
Not enough data
8.0
22
Agentic AI - Data Governance
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
Administration
Not enough data
8.8
134
Not enough data
8.9
137
Not enough data
8.8
134
Capabilities
Not enough data
9.2
138
Not enough data
8.9
136
Not enough data
8.7
135
Not enough data
8.6
132
Methodology
Not enough data
8.9
135
Not enough data
9.2
137
Not enough data
9.1
136
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
8.1
15
8.1
12
8.7
15
8.2
13
8.6
15
8.2
12
8.9
15
8.6
13
9.0
15
8.5
13
Deployment
7.8
12
8.2
13
8.5
13
8.3
12
8.5
13
8.5
12
8.8
13
8.3
13
8.8
13
8.8
12
Management
7.6
13
7.6
12
8.5
13
8.5
12
8.3
13
8.5
12
7.8
13
8.6
13
Operations
8.5
13
8.8
13
8.3
13
7.9
13
8.8
13
8.8
13
Management
7.5
12
7.9
12
8.5
13
8.3
13
7.9
13
8.2
12
Generative AI
8.3
6
Feature Not Available
8.3
6
Feature Not Available
System
8.6
75
8.4
67
Model Development
8.4
78
8.0
78
8.8
77
8.5
76
8.6
78
8.2
75
8.5
77
8.6
75
Model Development
8.5
77
8.4
66
Machine/Deep Learning Services
8.0
74
7.3
72
8.1
74
7.6
73
7.9
73
7.3
72
7.9
72
7.9
72
Machine/Deep Learning Services
7.7
68
7.5
66
7.9
69
7.9
66
Deployment
8.1
74
8.2
74
8.2
77
8.0
72
8.3
76
8.0
72
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
Management
Not enough data
8.8
26
Not enough data
9.0
27
Not enough data
9.4
27
Not enough data
9.0
26
Not enough data
8.9
26
Maintenance
Not enough data
8.8
25
Not enough data
8.9
25
Not enough data
9.1
25
Security
Not enough data
9.0
27
Not enough data
8.6
26
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
7.8
16
Not enough data
7.5
16
Not enough data
7.4
14
Not enough data
Cost and Efficiency - Generative AI Infrastructure
6.9
15
Not enough data
6.9
7
Not enough data
7.6
7
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.1
15
Not enough data
7.1
14
Not enough data
7.0
14
Not enough data
Security and Compliance - Generative AI Infrastructure
7.0
14
Not enough data
7.0
14
Not enough data
7.4
14
Not enough data
Usability and Support - Generative AI Infrastructure
7.0
15
Not enough data
6.7
14
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
14
Not enough data
8.8
14
Not enough data
9.0
14
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
9.0
14
Not enough data
8.9
14
Not enough data
8.7
14
Statistical Tool
8.2
35
8.6
66
8.5
35
8.7
67
8.0
35
8.6
67
Data Analysis
8.5
37
8.9
66
8.8
37
8.8
66
Decision Making
8.6
35
8.7
67
7.9
36
9.0
68
7.8
35
8.8
67
8.6
36
8.6
67
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
Functionality
Not enough data
8.7
64
Not enough data
8.7
64
Not enough data
9.0
62
Not enough data
8.8
63
Not enough data
8.8
62
Management
Not enough data
9.2
64
Not enough data
9.0
61
Not enough data
8.9
63
Not enough data
8.9
61
Not enough data
Feature Not Available
Generative AI
Not enough data
8.2
59
Not enough data
8.2
60
Building Reports
8.5
91
8.5
198
8.6
88
8.5
197
7.7
85
7.8
192
8.1
89
7.9
193
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 Large Language Model Operationalization (LLMOps), Big Data Analytics, Generative AI Infrastructure, AWS Marketplace, and AI Orchestration
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
15.2%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.3%
Insurance
5.3%
Other
60.8%
Pharmaceuticals
13.8%
Higher Education
9.1%
Banking
8.4%
Financial Services
6.6%
Information Technology and Services
6.3%
Other
55.8%
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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