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Compare Palantir Foundry and Toad Data Point 
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At a Glance
Market Segments
Small-Business (41.7% of reviews)
Enterprise (61.9% of reviews)
Pros & Cons
Not enough data
Not enough data
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)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Palantir FoundryToad Data Point
Star Rating
(21)4.0 out of 5
Market Segments
Enterprise (61.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Toad Data PointSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Palantir Foundry excels in data governance with a score of 7.5, which reviewers mention is crucial for maintaining data integrity across large datasets. In contrast, Toad Data Point, while still strong, has a slightly lower score in this area, indicating it may not be as robust for enterprises focused on strict governance.
- Reviewers mention that Toad Data Point offers superior ease of use with a score of 8.2, making it more accessible for small businesses and users who may not have extensive technical expertise. Palantir Foundry, with a score of 7.2, is noted to have a steeper learning curve, which could be a consideration for teams looking for quick adoption.
- G2 users highlight that Palantir Foundry's data ingestion and wrangling capabilities are impressive, particularly for complex data environments, although specific scores in this area were not provided. Toad Data Point, however, has been noted for its ease of data connectivity, scoring 6.7, which some users find limiting when dealing with diverse data sources.
- Users on G2 report that Toad Data Point shines in its breadth of integrations, scoring 6.9, which allows for seamless connectivity with various tools and platforms. In contrast, Palantir Foundry's integration options are less emphasized, suggesting it may not offer the same level of flexibility for users needing extensive third-party connections.
- Reviewers mention that Palantir Foundry's data quality and cleansing features are rated at 7.2, which is essential for ensuring accurate analytics. Toad Data Point, while still effective, has not been highlighted as strongly in this area, indicating that users may need to invest more effort in data preparation.
- Users say that Toad Data Point's reporting and data visualization capabilities are user-friendly, making it easier for teams to generate insights quickly. Palantir Foundry, while powerful, may require more technical expertise to leverage its full potential in analytics and reporting, which could be a barrier for some users.
Pricing
Entry-Level Pricing
Palantir Foundry
No pricing availableToad Data Point
No pricing availableFree Trial
Palantir Foundry
No trial information availableToad Data Point
No trial information availableRatings
Meets Requirements
7.8
9
8.3
19
Ease of Use
7.2
9
8.2
19
Ease of Setup
Not enough data
8.1
7
Ease of Admin
Not enough data
8.1
6
Quality of Support
7.8
9
8.1
15
Has the product been a good partner in doing business?
Not enough data
7.1
7
Product Direction (% positive)
6.8
11
6.3
19
Features by Category
Data Source Access
7.8
6
Not enough data
6.7
6
Not enough data
6.4
6
Not enough data
Data Interaction
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
Not enough data
Data Exporting
6.9
6
Not enough data
7.5
6
Not enough data
7.2
6
Not enough data
Generative AI
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
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System
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Model Development
Not enough data
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Model Development
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Machine/Deep Learning Services
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Machine/Deep Learning Services
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Deployment
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Generative AI
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Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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Data Management
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Analytics
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Security
Not enough data
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Generative AI
Not enough data
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Agentic AI - Data Fabric
Not enough data
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Development
Not enough data
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Management
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Security
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Integration Options
Not enough data
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Deployment
Not enough data
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Management
Not enough data
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Not enough data
Functionality
Not enough data
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Security
Not enough data
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Statistical Tool
Not enough data
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Data Analysis
Not enough data
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Not enough data
Not enough data
Decision Making
Not enough data
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Not enough data
Not enough data
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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 Foundry and Toad Data Point are categorized as Data Preparation
Unique Categories
Palantir Foundry is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, Master Data Management (MDM), Data Fabric, Big Data Integration Platforms, and iPaaS
Toad Data Point has no unique categories
Reviews
Reviewers' Company Size
Palantir Foundry
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Toad Data Point
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%
Retail
9.5%
Information Technology and Services
9.5%
Information Services
9.5%
Hospital & Health Care
9.5%
Wireless
4.8%
Other
57.1%
Discussions
Palantir Foundry has no discussions with answers
Toad Data Point has no discussions with answers
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