Compare Palantir Foundry and SAS Viya 
At a Glance
Market Segments
Small-Business (41.7% of reviews)
Enterprise (34.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Palantir Foundry
Star Rating
(12)4.1 out of 5
Market Segments
Small-Business (41.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Palantir FoundrySAS Viya
Star Rating
(409)4.3 out of 5
Market Segments
Enterprise (34.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about SAS ViyaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Palantir Foundry excels in Data Processing with a score of 8.8, highlighting its robust capabilities in handling large datasets efficiently. In contrast, SAS Viya, while strong, has a slightly lower score of 8.0 in Data Analysis, indicating it may not be as powerful in processing complex data sets.
- Reviewers mention that SAS Viya shines in Data Visualization, scoring 9.3, which is significantly higher than Palantir Foundry's score of 8.5. Users appreciate the intuitive dashboards and visual reporting features that make data insights more accessible.
- G2 users highlight that Palantir Foundry's Collaboration features are rated at 8.9, making it a preferred choice for teams needing to work together on data projects. SAS Viya, with a score of 7.5 in this area, may not offer the same level of collaborative tools.
- Users on G2 report that SAS Viya's Ease of Use is rated at 8.2, which is higher than Palantir Foundry's score of 7.2. This suggests that SAS Viya may be more user-friendly for those new to data analytics software.
- Reviewers mention that Palantir Foundry has a strong focus on Real-Time Processing, scoring 8.8, which is crucial for businesses needing immediate insights. SAS Viya, while capable, does not match this level of performance in real-time data handling.
- Users say that SAS Viya's API Connectivity is rated at 8.2, indicating a more seamless integration with other applications compared to Palantir Foundry's score of 6.4. This makes SAS Viya a better option for organizations looking to integrate various data sources easily.
Featured Products
Sponsored
Intellimas
(0)
Data Quality
Visit Website
Sponsored
Keatext
(3)
Data Quality
Visit Website
Sponsored
DataGroomr
(25)
Data Quality
Visit Website
Pricing
Entry-Level Pricing
Palantir Foundry
No pricing availableSAS Viya
No pricing availableFree Trial
Palantir Foundry
No trial information availableSAS Viya
Free Trial is available
Ratings
Meets Requirements
7.8
9
8.5
361
Ease of Use
7.2
9
8.2
365
Ease of Setup
Not enough data
7.9
237
Ease of Admin
Not enough data
7.3
108
Quality of Support
7.8
9
8.3
343
Has the product been a good partner in doing business?
Not enough data
8.0
112
Product Direction (% positive)
6.8
11
8.8
365
Features by Category
Reports
Not enough data
8.1
126
Not enough data
7.8
121
Not enough data
8.2
123
Not enough data
7.9
121
Not enough data
8.1
117
Data Preparation
Not enough data
8.2
111
Not enough data
8.2
107
Data Modeling and Blending
Not enough data
8.4
112
Not enough data
8.6
109
Not enough data
8.4
111
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Self Service
Not enough data
8.1
119
Not enough data
8.1
119
Not enough data
8.2
118
Not enough data
8.0
117
Not enough data
8.0
114
Not enough data
8.1
115
Advanced Analytics
Not enough data
8.3
117
Not enough data
8.6
116
Not enough data
8.2
114
Building Reports
Not enough data
8.5
117
Not enough data
8.5
117
Not enough data
7.7
116
Not enough data
7.8
115
Data Source Access
7.8
6
8.6
74
6.7
6
8.4
74
6.4
6
8.2
73
Data Interaction
7.2
6
8.5
73
6.9
6
8.2
73
6.9
6
8.7
73
6.9
6
8.9
73
6.9
6
8.8
73
7.2
6
8.9
74
6.9
6
8.5
73
7.5
6
8.7
72
Data Exporting
6.9
6
8.3
73
7.5
6
8.2
73
7.2
6
8.7
73
Generative AI
Feature Not Available
Feature Not Available
Data
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
7.9
7
Not enough data
8.8
7
Analytics
Not enough data
8.1
7
Administration
Not enough data
8.0
19
Not enough data
8.3
19
Not enough data
8.0
19
Not enough data
8.4
20
Management
Not enough data
7.6
20
Not enough data
8.2
19
Not enough data
8.3
19
Not enough data
8.8
17
Not enough data
7.6
19
Compliance
Not enough data
8.1
18
Not enough data
Feature Not Available
Not enough data
8.1
19
Not enough data
8.2
19
Security
Not enough data
8.6
19
Not enough data
8.0
17
Not enough data
Feature Not Available
Data Quality
Not enough data
8.3
20
Not enough data
8.2
19
Not enough data
8.1
20
Maintainence
Not enough data
8.1
18
Not enough data
Feature Not Available
Generative AI
Not enough data
7.5
19
Not enough data
7.7
19
Administration
Not enough data
9.0
93
Not enough data
9.1
96
Not enough data
8.9
94
Capabilities
Not enough data
9.3
97
Not enough data
9.1
94
Not enough data
9.0
94
Not enough data
8.7
92
Methodology
Not enough data
9.1
94
Not enough data
9.3
95
Not enough data
9.3
94
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
Not enough data
9.0
7
Not enough data
8.5
8
Not enough data
8.3
7
Not enough data
8.8
8
Not enough data
7.9
8
Deployment
Not enough data
8.3
8
Not enough data
8.1
7
Not enough data
8.6
7
Not enough data
8.3
8
Not enough data
8.1
7
Management
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.6
7
Not enough data
8.5
8
Operations
Not enough data
8.5
8
Not enough data
8.1
8
Not enough data
8.5
8
Management
Not enough data
8.1
8
Not enough data
8.1
8
Not enough data
8.1
7
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.4
34
Not enough data
7.6
33
Not enough data
8.2
33
Model Development
Not enough data
7.9
37
Not enough data
8.6
37
Not enough data
8.0
36
Not enough data
8.5
36
Model Development
Not enough data
8.3
33
Not enough data
8.6
34
Not enough data
8.3
34
Machine/Deep Learning Services
Not enough data
7.0
37
Not enough data
7.5
37
Not enough data
7.3
37
Not enough data
7.8
36
Machine/Deep Learning Services
Not enough data
7.3
34
Not enough data
7.5
34
Not enough data
7.2
33
Not enough data
7.7
33
Deployment
Not enough data
7.9
36
Not enough data
7.5
35
Not enough data
7.6
34
Deployment
Not enough data
7.7
34
Not enough data
7.5
34
Not enough data
7.6
33
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Financial Planning
Not enough data
7.5
6
Not enough data
8.1
6
Not enough data
8.6
6
Financial Insight
Not enough data
7.0
5
Not enough data
8.3
5
Not enough data
7.2
6
Data
Not enough data
8.3
6
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Status Communication
Not enough data
7.7
5
Not enough data
8.6
6
Not enough data
8.1
6
Not enough data
8.6
6
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Management
Not enough data
8.4
16
Not enough data
8.8
17
Not enough data
9.2
17
Not enough data
8.9
16
Not enough data
8.9
16
Maintenance
Not enough data
9.0
15
Not enough data
9.2
15
Not enough data
9.2
15
Security
Not enough data
8.7
17
Not enough data
8.0
16
Development
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
Management
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Management
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Integration
Not enough data
7.8
10
Not enough data
8.1
9
Business Logic
Not enough data
7.6
9
Not enough data
6.8
10
Not enough data
8.2
10
Management
Not enough data
7.8
9
Not enough data
7.5
10
Analytics
Not enough data
8.5
10
Not enough data
7.6
9
Deployment
Not enough data
8.0
9
Not enough data
7.0
9
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Setup
Not enough data
7.5
10
Not enough data
7.3
10
Not enough data
8.2
10
Data
Not enough data
8.2
11
Not enough data
8.5
9
Analysis
Not enough data
8.5
9
Not enough data
8.5
10
Not enough data
8.5
10
Not enough data
8.3
10
Not enough data
8.1
9
Not enough data
8.0
9
Not enough data
8.3
9
Customization
Not enough data
8.0
9
Not enough data
7.7
10
Not enough data
8.0
10
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Integration - Machine Learning
Not enough data
7.4
13
Learning - Machine Learning
Not enough data
7.4
13
Not enough data
7.6
13
Not enough data
7.8
13
Statistical Tool
Not enough data
8.5
31
Not enough data
8.8
32
Not enough data
8.6
32
Data Analysis
Not enough data
9.0
31
Not enough data
8.8
31
Decision Making
Not enough data
8.6
33
Not enough data
8.9
34
Not enough data
8.6
34
Not enough data
8.7
34
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Functionality
Not enough data
8.9
44
Not enough data
8.8
44
Not enough data
9.0
43
Not enough data
8.8
43
Not enough data
9.0
43
Management
Not enough data
9.2
44
Not enough data
9.1
41
Not enough data
8.9
43
Not enough data
8.9
41
Not enough data
Feature Not Available
Generative AI
Not enough data
8.5
38
Not enough data
8.6
39
Building Reports
Not enough data
8.5
117
Not enough data
8.5
117
Not enough data
7.7
116
Not enough data
7.8
115
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
Palantir Foundry and SAS Viya are categorized as Data Preparation, Data Science and Machine Learning Platforms, and Predictive Analytics
Unique Categories
Palantir Foundry is categorized as Master Data Management (MDM), Data Fabric, Big Data Integration Platforms, and iPaaS
Reviews
Reviewers' Company Size
Palantir Foundry
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
Information Technology and Services
25.0%
Computer Software
16.7%
Pharmaceuticals
8.3%
Information Services
8.3%
Government Administration
8.3%
Other
33.3%
Pharmaceuticals
16.2%
Higher Education
7.7%
Banking
7.7%
Financial Services
6.4%
Information Technology and Services
5.9%
Other
56.2%
Most Helpful Reviews
Palantir Foundry
Most Helpful Favorable Review
Rahul D.
Verified User in Information Technology and Services
Good experience,Ease of Use,easily implementing products,good support,integrating with other products. And been using the products frequently
Most Helpful Critical Review
Gail B.
Verified User in Pharmaceuticals
Everything about the user experience is just baffling - navigating between simple things is confusing, unintuitive, and nearly incomprehensible. The learning curve is so steep that teams will never be able to truly democratize data across their...
SAS Viya
Most Helpful Favorable Review
Daniel W.
Verified User in Pharmaceuticals
1. Rapid analysis of vast volumes of data is possible thanks to SAS Viya's high-performance analytics. 2. Scalability: SAS Viya is built to handle large-scale analytics projects and gives users the flexibility to scale their analytics requirements up or...
Most Helpful Critical Review
Verified User in Retail
Since its still in its early stages there are few bugs here and there do i think it will improve with time
Rahul D.
Verified User in Information Technology and Services
Good experience,Ease of Use,easily implementing products,good support,integrating with other products. And been using the products frequently
Daniel W.
Verified User in Pharmaceuticals
1. Rapid analysis of vast volumes of data is possible thanks to SAS Viya's high-performance analytics. 2. Scalability: SAS Viya is built to handle large-scale analytics projects and gives users the flexibility to scale their analytics requirements up or...
Gail B.
Verified User in Pharmaceuticals
Everything about the user experience is just baffling - navigating between simple things is confusing, unintuitive, and nearly incomprehensible. The learning curve is so steep that teams will never be able to truly democratize data across their...
Verified User in Retail
Since its still in its early stages there are few bugs here and there do i think it will improve with time
Alternatives
Discussions
Palantir Foundry has no discussions with answers
SAS Viya has no discussions with answers
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
Gmail.com addresses not permitted. A business domain using Google is allowed.
By proceeding, you agree to our Terms of Use and Privacy Policy
