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Compare Oracle Enterprise Data Management Cloud and Palantir Gotham 
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At a Glance
Market Segments
Mid-Market (53.3% of reviews)
Mid-Market (37.5% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Oracle Enterprise Data Management Cloud
Star Rating
(17)4.0 out of 5
Market Segments
Mid-Market (53.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Oracle Enterprise Data Management CloudPalantir Gotham
Star Rating
(10)4.3 out of 5
Market Segments
Mid-Market (37.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Palantir GothamSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Oracle Enterprise Data Management Cloud excels in Data Governance, with features that allow for comprehensive Hierarchy Management and Reference Data Management. Reviewers mention that this capability is crucial for large enterprises managing complex data structures.
- Reviewers mention that Palantir Gotham shines in Data Analytics, particularly with its advanced Machine Learning Services and Natural Language Processing capabilities. Users say that these features enable deeper insights and more effective decision-making processes.
- G2 users highlight that Oracle Enterprise Data Management Cloud has a strong focus on Data Lineage and Metadata Management, which are essential for compliance and auditing. Users report that this transparency in data flow is a significant advantage for regulatory requirements.
- Users on G2 report that Palantir Gotham offers superior Data Visualization tools, allowing for intuitive Report Generation and interactive dashboards. Reviewers mention that this enhances user experience and facilitates better communication of insights across teams.
- Reviewers say that Oracle Enterprise Data Management Cloud provides robust API Management and Pre-Built Connectors, making it easier to integrate with existing systems. Users report that this flexibility is particularly beneficial for enterprises with diverse technology stacks.
- Users report that Palantir Gotham's Generative AI capabilities, including AI Text Generation and AI Text Summarization, are standout features that help automate and streamline data processing tasks. Reviewers mention that this innovation significantly reduces manual effort and enhances productivity.
Pricing
Entry-Level Pricing
Oracle Enterprise Data Management Cloud
No pricing availablePalantir Gotham
No pricing availableFree Trial
Oracle Enterprise Data Management Cloud
No trial information availablePalantir Gotham
No trial information availableRatings
Meets Requirements
8.8
14
9.4
6
Ease of Use
8.3
13
9.0
5
Ease of Setup
8.3
5
Not enough data
Ease of Admin
8.3
5
Not enough data
Quality of Support
8.7
14
9.4
6
Has the product been a good partner in doing business?
9.0
5
Not enough data
Product Direction (% positive)
8.1
12
10.0
7
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
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Model Development
Not enough data
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Model Development
Not enough data
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Machine/Deep Learning Services
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Machine/Deep Learning Services
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Deployment
Not enough data
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Generative AI
Not enough data
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Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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Not enough data
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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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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Not enough data
Agentic AI - Data Fabric
Not enough data
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Not enough data
Not enough data
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Not enough data
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
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Not enough data
Functionality
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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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Decision Making
Not enough data
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Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Oracle Enterprise Data Management Cloud and Palantir Gotham are categorized as Master Data Management (MDM)
Unique Categories
Oracle Enterprise Data Management Cloud has no unique categories
Palantir Gotham is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, Data Fabric, Big Data Integration Platforms, and iPaaS
Reviews
Reviewers' Company Size
Oracle Enterprise Data Management Cloud
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Palantir Gotham
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
20.0%
Management Consulting
13.3%
Financial Services
13.3%
Semiconductors
6.7%
Retail
6.7%
Other
40.0%
Computer Software
37.5%
Transportation/Trucking/Railroad
12.5%
Information Technology and Services
12.5%
Government Relations
12.5%
Airlines/Aviation
12.5%
Other
12.5%
Alternatives
Discussions
Oracle Enterprise Data Management Cloud has no discussions with answers
Palantir Gotham has no discussions with answers
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