Compare Palantir Gotham and SAP Datasphere 
At a Glance
Market Segments
Mid-Market (37.5% of reviews)
Enterprise (38.6% 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
(149)4.2 out of 5
Market Segments
Enterprise (38.6% 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.
- G2 reviewers report that while both Palantir Gotham and SAP Datasphere have received solid ratings for user satisfaction, SAP Datasphere stands out with a significantly higher volume of recent reviews, indicating a more active user base and potentially more up-to-date feedback on its features and performance.
- Users say that Palantir Gotham excels in its data analysis capabilities, with features like an impressive algorithm for generating in-depth reports and a user-friendly interface that helps organize work effectively. This makes it a strong choice for organizations focused on deep data insights.
- Reviewers mention that SAP Datasphere shines in its integration capabilities, particularly for users working with automation frameworks. The seamless connectivity to both SAP and non-SAP systems allows for the creation of business-friendly semantic models with minimal coding, which is a significant advantage for teams looking to streamline their data processes.
- According to verified reviews, Palantir Gotham is praised for its real-time data analysis and integration, which supports informed decision-making for business growth. Users appreciate the tool's ability to implement across various applications, making it versatile for different organizational needs.
- G2 reviewers highlight that while SAP Datasphere offers a free trial, making it accessible for new users, Palantir Gotham's entry-level pricing details are less clear, which may pose a challenge for potential buyers looking for transparent cost structures.
- Users express that Palantir Gotham has a strong reputation for quality support, with high ratings for its customer service. In contrast, while SAP Datasphere also provides solid support, some users feel it could improve in this area, particularly in terms of responsiveness and guidance during setup.
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
121
Ease of Use
9.0
5
8.1
130
Ease of Setup
Not enough data
7.8
111
Ease of Admin
Not enough data
8.3
38
Quality of Support
9.4
6
8.5
116
Has the product been a good partner in doing business?
Not enough data
8.4
40
Product Direction (% positive)
10.0
7
9.6
113
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
8.5
18
Not enough data
8.2
16
Not enough data
8.3
17
Not enough data
8.0
18
Analytics
Not enough data
8.6
18
Security
Not enough data
8.1
16
Not enough data
8.0
17
Not enough data
8.1
16
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
8.8
97
Not enough data
8.3
78
Not enough data
Feature Not Available
Not enough data
8.2
79
Not enough data
7.7
77
Not enough data
8.1
76
Integration
Not enough data
7.8
78
Not enough data
8.3
83
Not enough data
8.1
75
Deployment
Not enough data
Feature Not Available
Not enough data
8.5
86
Performance
Not enough data
8.2
87
Security
Not enough data
8.6
84
Not enough data
8.7
80
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
13.1%
Computer Software
10.8%
Consulting
6.9%
Financial Services
6.9%
Hospital & Health Care
3.1%
Other
59.2%
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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