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Compare Informatica Cloud Data Quality and Palantir Foundry 
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At a Glance
Market Segments
Enterprise (83.3% of reviews)
Enterprise (41.7% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Informatica Cloud Data Quality
Star Rating
(20)4.1 out of 5
Market Segments
Enterprise (83.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Informatica Cloud Data QualityPalantir Foundry
Star Rating
(12)4.1 out of 5
Market Segments
Enterprise (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 Informatica Cloud Data Quality excels in its "Data Quality Management" capabilities, with a strong focus on "Data Cleansing" and "Address Verification," making it a preferred choice for organizations prioritizing data integrity.
- Reviewers mention that Palantir Foundry shines in "Data Integration" and "Real-Time Integration," allowing for seamless connectivity across various data sources, which is crucial for businesses needing immediate insights.
- G2 users highlight that Informatica's "Ease of Use" and "Ease of Setup" ratings are higher, with scores of 8.4 and 8.5 respectively, indicating a more user-friendly experience compared to Palantir Foundry's lower scores of 7.2 and an unspecified setup ease.
- Users on G2 report that Palantir Foundry offers robust "Data Governance" features, including "Compliance Monitoring" and "Data Masking," which are essential for organizations handling sensitive information.
- Reviewers say that Informatica Cloud Data Quality's "Quality of Support" is rated at 8.5, reflecting a strong customer service experience, while Palantir Foundry's support rating is lower at 7.8, suggesting potential gaps in user assistance.
- Users report that Palantir Foundry's "Machine/Deep Learning Services" are highly regarded for their advanced capabilities in "Natural Language Processing" and "Artificial Neural Networks," making it a strong contender for organizations looking to leverage AI in their data strategies.
Pricing
Entry-Level Pricing
Informatica Cloud Data Quality
No pricing availablePalantir Foundry
No pricing availableFree Trial
Informatica Cloud Data Quality
Free Trial is available
Palantir Foundry
No trial information availableRatings
Meets Requirements
9.0
14
7.8
9
Ease of Use
8.6
14
7.2
9
Ease of Setup
8.7
9
Not enough data
Ease of Admin
8.3
9
Not enough data
Quality of Support
9.2
12
7.8
9
Has the product been a good partner in doing business?
9.1
9
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
Administration
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
Compliance
Not enough data
Not enough data
Feature Not Available
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
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Feature Not Available
Not enough data
Agentic AI - Data Governance
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
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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
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
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Machine/Deep Learning Services
Not enough data
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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
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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
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
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Analytics
Not enough data
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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
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Not enough data
Not enough data
Not enough data
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Not enough data
Not enough data
Not enough data
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Management
Not enough data
Not enough data
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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
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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
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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
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
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
Generative AI
Not enough data
Not enough data
Feature Not Available
Not enough data
Categories
Categories
Shared Categories
Informatica Cloud Data Quality and Palantir Foundry are categorized as iPaaS
Unique Categories
Informatica Cloud Data Quality is categorized as Data Quality, Data Governance, and Address Verification
Palantir Foundry is categorized as Data Preparation, Data Science and Machine Learning Platforms, Predictive Analytics, Master Data Management (MDM), Data Fabric, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Informatica Cloud Data Quality
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
31.6%
Insurance
15.8%
Financial Services
10.5%
Computer Software
10.5%
Internet
5.3%
Other
26.3%
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
Informatica Cloud Data Quality has no discussions with answers
Palantir Foundry has no discussions with answers
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