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Compare Palantir Gotham and SAP Datasphere 
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At a Glance
Market Segments
Mid-Market (37.5% of reviews)
Enterprise (40.6% of reviews)
Entry-Level Pricing
No pricing available
Free Trial 0 Visit the SAP Datasphere Pricing page for packages and pricing information.
Palantir Gotham
Star Rating
(10)4.3 out of 5
Market Segments
Mid-Market (37.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Palantir GothamSAP Datasphere
Star Rating
(110)4.3 out of 5
Market Segments
Enterprise (40.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial 0 Visit the SAP Datasphere Pricing page for packages and pricing information.
Free Trial is available
Learn more about SAP DatasphereSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Palantir Gotham excels in data integration with a score of 9.3, allowing seamless connections across various data sources, while SAP Datasphere, with a score of 8.8, is noted for its robust data management capabilities but falls slightly behind in integration flexibility.
- Reviewers mention that Palantir Gotham's data analytics capabilities are highly rated at 9.3, providing powerful insights and visualizations, whereas SAP Datasphere, scoring 8.5, offers solid analytics but lacks some advanced features that users of Palantir appreciate.
- G2 users highlight that Palantir Gotham's ease of use is rated at 9.0, making it user-friendly for teams, while SAP Datasphere, with a score of 8.3, has received feedback indicating a steeper learning curve, particularly in its setup process.
- Users on G2 report that Palantir Gotham's quality of support is exceptional, scoring 9.4, with many reviewers praising the responsiveness and expertise of the support team, compared to SAP Datasphere's score of 8.8, which, while still good, does not match the level of service provided by Palantir.
- Reviewers mention that Palantir Gotham shines in real-time integration capabilities, which is crucial for dynamic data environments, while SAP Datasphere, although competent, does not offer the same level of immediacy in data processing.
- Users say that Palantir Gotham's product direction is rated a perfect 10.0, indicating strong confidence in its future development, while SAP Datasphere, with a score of 9.6, also shows promise but lacks the same level of user assurance regarding its roadmap.
Pricing
Entry-Level Pricing
Palantir Gotham
No pricing availableSAP Datasphere
Visit the SAP Datasphere Pricing page for packages and pricing information.
Free Trial
0 Visit the SAP Datasphere Pricing page for packages and pricing information.
- https://www.sap.com/products/technology-platform/datasphere/trial.html
Free Trial
Palantir Gotham
No trial information availableSAP Datasphere
Free Trial is available
Ratings
Meets Requirements
9.4
6
8.7
97
Ease of Use
9.0
5
8.2
105
Ease of Setup
Not enough data
7.9
88
Ease of Admin
Not enough data
8.5
37
Quality of Support
9.4
6
8.5
95
Has the product been a good partner in doing business?
Not enough data
8.4
39
Product Direction (% positive)
10.0
7
9.6
92
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model 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
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
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
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Management
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
8.1
15
Not enough data
8.0
15
Analytics
Not enough data
8.4
15
Security
Not enough data
8.0
15
Not enough data
7.8
15
Not enough data
8.0
15
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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 Management
Not enough data
8.6
79
Not enough data
8.3
77
Not enough data
Feature Not Available
Not enough data
8.2
78
Not enough data
7.8
76
Not enough data
8.1
76
Integration
Not enough data
7.8
75
Not enough data
8.2
78
Not enough data
8.1
75
Deployment
Not enough data
Feature Not Available
Not enough data
8.4
77
Performance
Not enough data
8.4
77
Security
Not enough data
8.4
76
Not enough data
8.7
77
Generative AI
Not enough data
7.1
28
Not enough data
6.7
27
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
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
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
Categories
Categories
Shared Categories
Palantir Gotham and SAP Datasphere are categorized as Data Fabric
Unique Categories
Palantir Gotham is categorized as Master Data Management (MDM), Data Science and Machine Learning Platforms, Predictive Analytics, Big Data Integration Platforms, and iPaaS
SAP Datasphere is categorized as Data Warehouse
Reviews
Reviewers' Company Size
Palantir Gotham
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP Datasphere
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
37.5%
Transportation/Trucking/Railroad
12.5%
Information Technology and Services
12.5%
Government Relations
12.5%
Airlines/Aviation
12.5%
Other
12.5%
Information Technology and Services
12.3%
Computer Software
12.3%
Consulting
8.5%
Financial Services
6.6%
Business Supplies and Equipment
3.8%
Other
56.6%
Alternatives
Discussions
Palantir Gotham has no discussions with answers
What is SAP Data Warehouse Cloud used for?
1 Comment
PK
In simple terms, SAP Data warehouse by its definition analyzes large set of data and provides insights. Typical competitors include Amazon Redshift,...Read more
SAP Datasphere has no more discussions with answers
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