Compare Databricks and Neo4j Graph Data Science 
At a Glance
Market Segments
Enterprise (44.8% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
Starting at $1.00 Per Month
Databricks
Star Rating
(723)4.6 out of 5
Market Segments
Enterprise (44.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksNeo4j 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.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with users highlighting features like Genie, Lakehouse Connect, and streaming tables that streamline data processing and analysis. This all-in-one approach is particularly appreciated by enterprises looking to simplify their operations.
- Users say that Neo4j Graph Data Science stands out for its advanced analytics capabilities within the graph environment. Reviewers commend its performance updates and the effectiveness of its algorithms, such as the FastRP embedding algorithm, which facilitates fast and efficient recommendation systems.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, reflecting its strong market presence and user approval. Users frequently mention the intuitive notebook environment that enhances productivity by consolidating multiple tools into one platform.
- Reviewers mention that while Neo4j Graph Data Science offers robust support for specific machine learning tasks like community detection and similarity finding, some users express challenges with the overall user experience, indicating a need for improvements in usability and setup.
- G2 reviewers highlight that Databricks provides a smoother implementation process, with many users praising its quick onboarding and setup. This is contrasted with Neo4j, where some users have reported a steeper learning curve, particularly for those unfamiliar with graph databases.
- Users report that both platforms have strong support, but Databricks is noted for its centralized governance features through Unity Catalog, which enhances data management and access control, making it a preferred choice for enterprises focused on compliance and data security.
Pricing
Entry-Level Pricing
Databricks
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
Databricks
Free Trial is available
Neo4j Graph Data Science
No trial information availableRatings
Meets Requirements
8.9
574
9.0
13
Ease of Use
8.9
585
8.5
13
Ease of Setup
8.7
457
7.9
8
Ease of Admin
8.3
183
8.3
8
Quality of Support
8.7
549
8.8
13
Has the product been a good partner in doing business?
8.9
187
9.4
8
Product Direction (% positive)
9.6
562
9.1
13
Features by Category
Reports
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
173
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
8.8
10
Model Development
8.8
182
7.9
11
7.9
187
8.1
8
8.3
186
8.5
10
8.7
190
8.5
9
Model Development
8.5
172
8.8
7
Machine/Deep Learning Services
8.2
174
Feature Not Available
8.5
180
8.0
5
8.3
172
Feature Not Available
8.2
172
8.0
5
Machine/Deep Learning Services
8.4
158
Feature Not Available
8.4
160
Not enough data
Deployment
8.5
178
7.9
7
8.7
180
8.8
10
9.0
187
9.2
8
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
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
Maintenance
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
Data Management
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
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
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
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
Database
8.7
237
Not enough data
8.9
243
Not enough data
9.3
257
Not enough data
Integrations
8.3
220
Not enough data
9.1
258
Not enough data
Platform
9.0
250
Not enough data
8.8
248
Not enough data
9.1
258
Not enough data
Processing
9.0
243
Not enough data
9.0
246
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
230
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
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
Databricks and Neo4j Graph Data Science are categorized as Data Science and Machine Learning Platforms
Unique Categories
Neo4j Graph Data Science is categorized as Machine Learning and Predictive Analytics
Reviews
Reviewers' Company Size
Databricks
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
15.7%
Financial Services
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Computer Software
26.7%
Marketing and Advertising
13.3%
Information Technology and Services
13.3%
Biotechnology
13.3%
Sports
6.7%
Other
26.7%
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
Neo4j Graph Data Science has no discussions with answers
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