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Compare Google Cloud Dataprep and Palantir Foundry 
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At a Glance
Market Segments
Small-Business (64.3% of reviews)
Small-Business (41.7% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud Dataprep
Star Rating
(16)4.3 out of 5
Market Segments
Small-Business (64.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprepPalantir 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 FoundrySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dataprep excels in data preparation with a high score of 9.2, making it a preferred choice for users who prioritize ease of data wrangling and transformation. In contrast, Palantir Foundry, while robust, has a lower score in this area, indicating it may not be as user-friendly for data preparation tasks.
- Reviewers mention that Google Cloud Dataprep's drag-and-drop interface significantly enhances user experience, allowing for intuitive data manipulation. On the other hand, users on G2 have noted that Palantir Foundry's interface can be less intuitive, which may lead to a steeper learning curve for new users.
- G2 users highlight that Google Cloud Dataprep offers a broader range of pre-built connectors, facilitating easier integration with various data sources. In comparison, Palantir Foundry's integration options, while comprehensive, are perceived as more complex, which may require additional setup time.
- Reviewers say that Google Cloud Dataprep's real-time data collection feature, scoring 8.7, is a standout, allowing for timely insights. Conversely, Palantir Foundry's real-time capabilities are rated lower, which could impact users needing immediate data processing.
- Users report that Google Cloud Dataprep's quality of support is rated at 8.3, with many praising the responsiveness and helpfulness of the support team. In contrast, Palantir Foundry's support is rated lower at 7.8, suggesting that users may experience longer wait times or less effective assistance.
- Reviewers mention that Google Cloud Dataprep's ease of use is a significant advantage, scoring 9.1, which is particularly beneficial for small businesses with limited technical resources. Palantir Foundry, with a score of 7.2, may pose challenges for smaller teams or those without dedicated data specialists.
Pricing
Entry-Level Pricing
Google Cloud Dataprep
No pricing availablePalantir Foundry
No pricing availableFree Trial
Google Cloud Dataprep
No trial information availablePalantir Foundry
No trial information availableRatings
Meets Requirements
8.2
12
7.8
9
Ease of Use
9.2
13
7.2
9
Ease of Setup
8.6
6
Not enough data
Ease of Admin
8.9
6
Not enough data
Quality of Support
8.3
12
7.8
9
Has the product been a good partner in doing business?
8.9
6
Not enough data
Product Direction (% positive)
8.2
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
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
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
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
Database
8.7
9
Not enough data
8.3
9
Not enough data
6.7
9
Not enough data
Integrations
7.1
7
Not enough data
7.9
8
Not enough data
Platform
8.3
8
Not enough data
9.2
10
Not enough data
7.9
8
Not enough data
Processing
8.7
10
Not enough data
9.4
9
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Google Cloud Dataprep and Palantir Foundry are categorized as Data Preparation
Unique Categories
Google Cloud Dataprep is categorized as Big Data Processing and Distribution
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
Reviews
Reviewers' Company Size
Google Cloud Dataprep
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
Information Technology and Services
21.4%
Computer Software
14.3%
Restaurants
7.1%
Primary/Secondary Education
7.1%
Marketing and Advertising
7.1%
Other
42.9%
Information Technology and Services
25.0%
Computer Software
16.7%
Pharmaceuticals
8.3%
Information Services
8.3%
Government Administration
8.3%
Other
33.3%
Alternatives
Discussions
Google Cloud Dataprep has no discussions with answers
Palantir Foundry has no discussions with answers
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