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Compare IBM InfoSphere Master Data Management and Palantir Foundry 
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At a Glance
Market Segments
Enterprise (65.7% 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
IBM InfoSphere Master Data Management
Star Rating
(40)4.1 out of 5
Market Segments
Enterprise (65.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM InfoSphere Master Data ManagementPalantir 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 FoundryIBM InfoSphere Master Data Management vs Palantir Foundry
- Reviewers felt that IBM InfoSphere Master Data Management meets the needs of their business better than Palantir Foundry.
- When comparing quality of ongoing product support, reviewers felt that IBM InfoSphere Master Data Management is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM InfoSphere Master Data Management over Palantir Foundry.
Pricing
Entry-Level Pricing
IBM InfoSphere Master Data Management
No pricing availablePalantir Foundry
No pricing availableFree Trial
IBM InfoSphere Master Data Management
No trial information availablePalantir Foundry
No trial information availableRatings
Meets Requirements
8.5
21
7.8
9
Ease of Use
7.5
21
7.2
9
Ease of Setup
6.5
10
Not enough data
Ease of Admin
7.3
11
Not enough data
Quality of Support
8.2
19
7.8
9
Has the product been a good partner in doing business?
7.2
12
Not enough data
Product Direction (% positive)
8.3
21
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
Categories
Categories
Shared Categories
IBM InfoSphere Master Data Management and Palantir Foundry are categorized as Master Data Management (MDM)
Unique Categories
IBM InfoSphere Master Data Management has no unique categories
Palantir Foundry is categorized as Data Preparation, Data Science and Machine Learning Platforms, Predictive Analytics, Data Fabric, Big Data Integration Platforms, and iPaaS
Reviews
Reviewers' Company Size
IBM InfoSphere Master Data Management
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
Insurance
14.3%
Banking
11.4%
Research
5.7%
Information Technology and Services
5.7%
Hospital & Health Care
5.7%
Other
57.1%
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
IBM InfoSphere Master Data Management has no discussions with answers
Palantir Foundry has no discussions with answers
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