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- Neo4j Graph Data Science
- Palantir Foundry
- Neo4j Graph Data Science-vs-Palantir Foundry
Compare Neo4j Graph Data Science and Palantir Foundry 
At a Glance
Market Segments
Mid-Market (46.7% of reviews)
Small-Business (41.7% of reviews)
Entry-Level Pricing
Starting at $1.00 Per Month
No pricing available
Neo4j Graph Data Science
Star Rating
(16)4.5 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Entry-Level Pricing
Starting at $1.00 Per Month
Browse all 3 pricing plansPalantir 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 FoundrySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Palantir Foundry excels in data ingestion and wrangling with a score of 8.8, making it a strong choice for organizations needing robust data preparation capabilities. In contrast, Neo4j Graph Data Science, while strong in model development, does not emphasize data wrangling as much, which may be a drawback for users focused on data preparation.
- Reviewers mention that Neo4j Graph Data Science shines in its algorithms and model training, scoring 9.2 and 8.1 respectively. This indicates a strong focus on advanced analytics and machine learning capabilities, which users appreciate for developing complex models. Palantir Foundry, while competent, does not match this level of specialization in these areas.
- G2 users highlight the ease of use of Neo4j Graph Data Science, with a score of 8.5, which is significantly higher than Palantir Foundry's score of 7.2. This suggests that users find Neo4j more intuitive and user-friendly, making it a better option for teams with less technical expertise.
- Users on G2 report that Palantir Foundry has a strong focus on data governance and security, with features that support compliance and data protection. This is particularly appealing for organizations in regulated industries, whereas Neo4j Graph Data Science, while secure, does not emphasize these features as strongly.
- Reviewers mention that Neo4j Graph Data Science offers superior data visualization capabilities, scoring 8.3, which helps users in presenting complex data relationships effectively. Palantir Foundry, while it has visualization tools, does not receive the same level of praise in this area, indicating a potential gap for users who prioritize visual analytics.
- Users say that Palantir Foundry's breadth of data sources and connectivity options, with a score of 7.8, allows for extensive integration with various data systems, making it a versatile choice for organizations with diverse data needs. In contrast, Neo4j Graph Data Science's integration options, while adequate, do not provide the same level of flexibility, which may limit its appeal for users needing extensive data connectivity.
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Pricing
Entry-Level Pricing
Neo4j Graph Data Science
AuraDS Professional
Starting at $1.00
Per Month
AuraDS Professional is the fastest way to take your graph data science experiments to production with monthly billing.
- 8-96GB (RAM)
- Pay as you go: credit card or Google Cloudbilling
- Automated updates/patches
Palantir Foundry
No pricing availableFree Trial
Neo4j Graph Data Science
No trial information availablePalantir Foundry
No trial information availableRatings
Meets Requirements
9.0
13
7.8
9
Ease of Use
8.5
13
7.2
9
Ease of Setup
7.9
8
Not enough data
Ease of Admin
8.3
8
Not enough data
Quality of Support
8.8
13
7.8
9
Has the product been a good partner in doing business?
9.4
8
Not enough data
Product Direction (% positive)
9.1
13
6.8
11
Features by Category
Data Source Access
Not enough data
7.8
6
Not enough data
6.7
6
Not enough data
6.4
6
Data Interaction
Not enough data
7.2
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
7.2
6
Not enough data
6.9
6
Not enough data
7.5
6
Data Exporting
Not enough data
6.9
6
Not enough data
7.5
6
Not enough data
7.2
6
Generative AI
Not enough data
Not enough data
System
8.8
10
Not enough data
8.8
7
Not enough data
7.8
6
Not enough data
Model Development
7.9
11
Not enough data
8.1
8
Not enough data
8.5
10
Not enough data
8.5
9
Not enough data
Model Development
9.0
8
Not enough data
8.1
7
Not enough data
8.8
7
Not enough data
Machine/Deep Learning Services
Feature Not Available
Not enough data
8.0
5
Not enough data
Feature Not Available
Not enough data
8.0
5
Not enough data
Machine/Deep Learning Services
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Deployment
7.9
7
Not enough data
8.8
10
Not enough data
9.2
8
Not enough data
Deployment
8.3
8
Not enough data
8.5
8
Not enough data
9.0
8
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
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
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
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 - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.9
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Data Analysis
9.4
6
Not enough data
9.3
5
Not enough data
Decision Making
9.2
6
Not enough data
8.3
5
Not enough data
8.1
6
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
Neo4j Graph Data Science and Palantir Foundry are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
Neo4j Graph Data Science is categorized as Machine Learning
Palantir Foundry is categorized as Data Preparation, Master Data Management (MDM), Data Fabric, Big Data Integration Platforms, and iPaaS
Reviews
Reviewers' Company Size
Neo4j Graph Data Science
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Palantir Foundry
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
26.7%
Marketing and Advertising
13.3%
Information Technology and Services
13.3%
Biotechnology
13.3%
Sports
6.7%
Other
26.7%
Information Technology and Services
25.0%
Computer Software
16.7%
Pharmaceuticals
8.3%
Information Services
8.3%
Government Administration
8.3%
Other
33.3%
Most Helpful Reviews
Neo4j Graph Data Science
Most Helpful Favorable Review
Peter T.
Verified User in Information Technology and Services
GDS stands out as the top choice for performing modeling and advanced analytics natively within the graph environment. Furthermore, each release brings performance updates, functionality improvements to extant algorithms and techniques, as well as additions...
Most Helpful Critical Review
Palantir Foundry
Most Helpful Favorable Review
Akash M.
Verified User in Computer Software
Protecting large volume of data in the institution
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...
Peter T.
Verified User in Information Technology and Services
GDS stands out as the top choice for performing modeling and advanced analytics natively within the graph environment. Furthermore, each release brings performance updates, functionality improvements to extant algorithms and techniques, as well as additions...
Akash M.
Verified User in Computer Software
Protecting large volume of data in the institution
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...
Alternatives
Discussions
Neo4j Graph Data Science has no discussions with answers
Palantir Foundry has no discussions with answers
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