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Compare Kubeflow and Neo4j Graph Data Science 
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At a Glance
Market Segments
Small-Business (45.5% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
Starting at $1.00 Per Month
Kubeflow
Star Rating
(22)4.5 out of 5
Market Segments
Small-Business (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about KubeflowNeo4j Graph Data Science
Star Rating
(16)4.5 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Starting at $1.00 Per Month
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Kubeflow excels in its Data Ingestion & Wrangling capabilities, scoring an impressive 8.8, which allows for seamless integration of various data sources. In contrast, Neo4j Graph Data Science, while strong in other areas, does not specifically highlight this feature, leading to a less favorable comparison in this aspect.
- Reviewers mention that Neo4j Graph Data Science shines in Quality of Support, achieving a score of 8.8, which is significantly higher than Kubeflow's 7.3. Users appreciate the responsiveness and helpfulness of the support team, making it a preferred choice for those who prioritize assistance.
- G2 users highlight that Kubeflow's Model Development features, particularly its Pre-Built Algorithms, score 9.0, indicating a robust selection for users looking to quickly implement machine learning models. Neo4j, while strong in other areas, does not match this level of support for model development.
- Users on G2 report that Neo4j Graph Data Science offers superior Ease of Use with a score of 8.5 compared to Kubeflow's 7.5. This makes Neo4j a more accessible option for teams that may not have extensive technical expertise.
- Reviewers mention that Kubeflow's Scalability is a standout feature, scoring 9.2, which is crucial for organizations looking to grow their machine learning capabilities. In comparison, Neo4j's scalability score of 9.0 is commendable but slightly less impressive.
- Users say that Kubeflow's Integration capabilities, particularly with Scripting and Algorithms, score highly at 8.9 and 9.2 respectively, making it a strong choice for developers looking to customize their machine learning workflows. Neo4j, while effective in data science, does not emphasize these integration features to the same extent.
Pricing
Entry-Level Pricing
Kubeflow
No pricing availableNeo4j Graph Data Science
AuraDS Professional
Starting at $1.00
Per Month
AuraDS Professional is the fastest way to take your graph data science experiments to production with monthly billing.
- 8-96GB (RAM)
- Pay as you go: credit card or Google Cloudbilling
- Automated updates/patches
Free Trial
Kubeflow
No trial information availableNeo4j Graph Data Science
No trial information availableRatings
Meets Requirements
8.5
18
9.0
13
Ease of Use
7.6
18
8.5
13
Ease of Setup
6.7
9
7.9
8
Ease of Admin
6.7
6
8.3
8
Quality of Support
7.4
17
8.8
13
Has the product been a good partner in doing business?
8.1
6
9.4
8
Product Direction (% positive)
8.7
18
9.1
13
Features by Category
Deployment
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
Deployment
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
Operations
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
8.8
10
Model Development
Not enough data
7.9
11
Not enough data
8.1
8
Not enough data
8.5
10
Not enough data
8.5
9
Model Development
Not enough data
8.8
7
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
8.0
5
Not enough data
Feature Not Available
Not enough data
8.0
5
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
Not enough data
Deployment
Not enough data
7.9
7
Not enough data
8.8
10
Not enough data
9.2
8
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
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Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
Not enough data
Not enough data
Not enough data
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Not enough data
Performance Optimization & Analytics - AI Orchestration
Not enough data
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Not enough data
Not enough data
Not enough data
Not enough data
Governance & Compliance Controls - AI Orchestration
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
Statistical Tool
Not enough data
8.9
6
Not enough data
8.6
6
Not enough data
9.2
6
Data Analysis
Not enough data
9.4
6
Not enough data
9.3
5
Decision Making
Not enough data
9.2
6
Not enough data
8.3
5
Not enough data
8.1
6
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Kubeflow and Neo4j Graph Data Science are categorized as Machine Learning
Unique Categories
Kubeflow is categorized as MLOps Platforms and AI Orchestration
Neo4j Graph Data Science is categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Reviews
Reviewers' Company Size
Kubeflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Neo4j Graph Data Science
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
31.8%
Computer Software
18.2%
Oil & Energy
4.5%
Internet
4.5%
Information Services
4.5%
Other
36.4%
Computer Software
26.7%
Marketing and Advertising
13.3%
Information Technology and Services
13.3%
Biotechnology
13.3%
Sports
6.7%
Other
26.7%
Alternatives
Discussions
Kubeflow has no discussions with answers
Neo4j Graph Data Science has no discussions with answers
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