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- Databricks Data Intelligence Platform-vs-Neo4j Graph Data Science
Compare Databricks Data Intelligence Platform and Neo4j Graph Data Science 
At a Glance
Market Segments
Enterprise (47.3% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
Starting at $1.00 Per Month
Databricks Data Intelligence Platform
Star Rating
(403)4.6 out of 5
Market Segments
Enterprise (47.3% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformNeo4j Graph Data Science
Star Rating
(16)4.5 out of 5
Market Segments
Mid-Market (46.7% of reviews)
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 the Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, allowing seamless connections to various data sources, while Neo4j Graph Data Science scores slightly lower at 8.9, indicating a more limited integration capability.
- Reviewers mention that Neo4j Graph Data Science shines in Model Development, particularly with its pre-built algorithms scoring 9.0, which users find helpful for quick implementation, whereas Databricks scores 8.2 in the same area, suggesting a need for more pre-built options.
- G2 users highlight that Databricks offers superior Data Lake Analytics with a score of 9.1, making it a preferred choice for users needing robust analytics capabilities, while Neo4j does not provide a comparable feature set, scoring lower in this category.
- Users on G2 report that Neo4j Graph Data Science has a better Natural Language Processing capability, scoring 8.5, which is beneficial for users focusing on text data, while Databricks scores 8.0, indicating room for improvement in this area.
- Reviewers mention that Databricks provides a more user-friendly Workflow Management experience with a score of 9.3, which users appreciate for its intuitive design, compared to Neo4j which scores 8.7, suggesting a slightly steeper learning curve.
- Users say that Neo4j Graph Data Science excels in Data Governance with a score of 9.2, which is crucial for organizations focused on compliance, while Databricks scores 9.1, indicating strong governance features but slightly less emphasis on compliance management.
Featured Products
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
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 Data Intelligence Platform
Free Trial is available
Neo4j Graph Data Science
No trial information availableRatings
Meets Requirements
8.8
298
9.0
13
Ease of Use
8.8
299
8.5
13
Ease of Setup
8.6
184
7.9
8
Ease of Admin
8.1
89
8.3
8
Quality of Support
8.5
278
8.8
13
Has the product been a good partner in doing business?
8.5
89
9.4
8
Product Direction (% positive)
9.5
284
9.1
13
Features by Category
Administration
8.4
18
Not enough data
8.8
17
Not enough data
9.0
19
Not enough data
8.8
20
Not enough data
Management
8.5
18
Not enough data
8.7
18
Not enough data
8.9
18
Not enough data
8.4
18
Not enough data
9.1
18
Not enough data
Compliance
8.8
19
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.1
18
Not enough data
Security
8.8
17
Not enough data
9.0
18
Not enough data
8.9
18
Not enough data
Data Quality
8.9
18
Not enough data
8.2
18
Not enough data
8.9
18
Not enough data
Maintainence
8.7
18
Not enough data
8.5
18
Not enough data
Generative AI
8.5
18
Not enough data
8.9
18
Not enough data
Management
8.3
84
Not enough data
8.3
80
Not enough data
Functionality
9.1
87
Not enough data
9.3
88
Not enough data
9.1
89
Not enough data
8.9
82
Not enough data
9.1
85
Not enough data
Deployment
8.8
35
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.7
37
Not enough data
8.7
37
Not enough data
Deployment
8.6
34
Not enough data
8.5
35
Not enough data
8.3
39
Not enough data
8.7
38
Not enough data
8.9
38
Not enough data
Management
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Not enough data
Operations
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Not enough data
Management
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
93
8.8
10
8.6
88
8.8
7
7.7
89
7.8
6
Model Development
8.7
83
7.9
11
7.8
90
8.1
8
8.3
88
8.5
10
8.8
90
8.5
9
Model Development
8.4
87
9.0
8
8.7
92
8.1
7
8.5
90
8.8
7
Machine/Deep Learning Services
8.2
79
Feature Not Available
8.6
84
8.0
5
8.2
77
Feature Not Available
8.1
80
8.0
5
Machine/Deep Learning Services
8.1
79
Feature Not Available
8.3
80
Feature Not Available
8.1
79
Feature Not Available
8.4
81
Not enough data
Deployment
8.4
84
7.9
7
8.7
88
8.8
10
8.8
92
9.2
8
Deployment
8.4
86
8.3
8
8.6
92
8.5
8
8.8
92
9.0
8
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Data Management
9.0
114
|
Verified
Not enough data
8.8
113
|
Verified
Not enough data
8.6
109
|
Verified
Not enough data
8.5
111
|
Verified
Not enough data
8.5
101
|
Verified
Not enough data
8.9
105
|
Verified
Not enough data
Integration
8.7
100
|
Verified
Not enough data
8.6
101
|
Verified
Not enough data
8.9
110
|
Verified
Not enough data
Deployment
7.6
90
|
Verified
Not enough data
9.0
111
|
Verified
Not enough data
Performance
9.0
112
|
Verified
Not enough data
Security
8.5
103
|
Verified
Not enough data
8.6
104
|
Verified
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
9.0
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Not enough data
Analytics
8.6
32
Not enough data
8.4
31
Not enough data
Monitoring and Management
8.2
32
Not enough data
8.2
32
Not enough data
Cloud Deployment
9.2
29
Not enough data
9.1
29
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
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
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
Feature Not Available
Not enough data
Feature Not Available
Database
8.5
112
Not enough data
8.8
119
Not enough data
9.2
119
Not enough data
Integrations
8.3
104
Not enough data
9.1
121
Not enough data
Platform
8.9
115
Not enough data
8.7
119
Not enough data
9.1
121
Not enough data
Processing
8.9
118
Not enough data
8.9
118
Not enough data
Data Transformation
8.6
133
Not enough data
8.9
140
Not enough data
Connectivity
8.5
117
Not enough data
9.1
139
Not enough data
8.9
131
Not enough data
9.1
140
Not enough data
Operations
8.2
138
Not enough data
8.7
133
Not enough data
8.4
121
Not enough data
8.4
121
Not enough data
9.3
135
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Data Intelligence Platform and Neo4j Graph Data Science are categorized as Data Science and Machine Learning Platforms
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Data Governance
Neo4j Graph Data Science is categorized as Machine Learning and Predictive Analytics
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
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
15.1%
Computer Software
10.5%
Financial Services
8.2%
Marketing and Advertising
4.9%
Consulting
4.1%
Other
57.3%
Computer Software
26.7%
Marketing and Advertising
13.3%
Information Technology and Services
13.3%
Biotechnology
13.3%
Sports
6.7%
Other
26.7%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Neo4j Graph Data Science
Most Helpful Favorable Review
Daniel B.
Verified User in Computer Software
Powerful algorithms that are ready to go and easy to test.
Most Helpful Critical Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Daniel B.
Verified User in Computer Software
Powerful algorithms that are ready to go and easy to test.
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Alternatives
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?
3 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 does Databricks software do?
2 comments
BR
Databricks is a unified analytics platform and it help us to connect the different sources of data and process it to the single platform which store, share...Read more
Neo4j Graph Data Science has no discussions with answers
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