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Compare Databricks and Domino Enterprise AI Platform 
Featured Products
At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (48.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(657)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksDomino Enterprise AI Platform
Star Rating
(28)4.3 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Domino Enterprise AI PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in overall user satisfaction, boasting a significantly higher G2 Score compared to the Domino Enterprise AI Platform. Users appreciate its ability to scale large language models and manage data across multiple cloud environments seamlessly.
- Users say that the Databricks platform offers an intuitive interface with interactive notebooks that support both SQL and Python, making data visualization straightforward. In contrast, while the Domino platform is also noted for its user-friendly interface, it lacks the same level of versatility in data handling.
- Reviewers mention that the autoscale feature in Databricks is particularly effective, helping to reduce cloud resource costs. This feature has been highlighted as a game-changer for users who are new to autoscaling, whereas users of the Domino platform have not reported similar cost-saving features.
- According to verified reviews, the quality of support for Databricks is rated higher, with users noting timely assistance when issues arise. In comparison, while Domino's support is described as adequate, it does not consistently meet the expectations set by Databricks users.
- Users highlight the collaboration capabilities of Databricks, which are praised for enhancing teamwork on data projects. Meanwhile, Domino's collaboration features, while functional, do not receive the same level of acclaim, indicating a potential area for improvement.
- Reviewers appreciate the flexibility of Databricks in terms of language and framework support, which allows for a broader range of applications. On the other hand, while Domino does offer some flexibility, it falls short in comparison, particularly in versioning and deployment ease, which are critical for agile development environments.
Pricing
Entry-Level Pricing
Databricks
No pricing availableDomino Enterprise AI Platform
No pricing availableFree Trial
Databricks
Free Trial is available
Domino Enterprise AI Platform
Free Trial is available
Ratings
Meets Requirements
8.9
537
8.4
22
Ease of Use
8.9
548
8.4
22
Ease of Setup
8.7
421
7.8
9
Ease of Admin
8.3
175
8.1
6
Quality of Support
8.7
512
8.1
20
Has the product been a good partner in doing business?
8.9
179
8.6
6
Product Direction (% positive)
9.6
526
9.0
23
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
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
9.0
8
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
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
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
8.3
10
Not enough data
7.9
11
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
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.8
7
Not enough data
8.3
7
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
8.9
6
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
Not enough data
Administration
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Not enough data
Compliance
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Not enough data
Security
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
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
169
Not enough data
8.5
163
Not enough data
Functionality
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Not enough data
Deployment
8.9
64
8.6
7
8.9
64
8.3
7
8.9
64
7.1
7
8.9
65
6.4
7
8.9
66
8.1
7
Deployment
8.9
61
9.0
7
8.8
62
8.6
7
8.6
66
8.6
7
8.9
65
8.1
7
9.0
66
8.8
7
Management
9.0
62
7.8
6
8.8
63
8.6
6
9.1
59
8.9
6
8.9
67
8.6
7
Operations
8.7
62
8.6
6
8.8
61
8.3
6
9.0
62
8.6
6
Management
8.8
60
8.6
6
8.7
60
9.3
5
9.1
59
8.3
6
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.8
178
8.1
15
Model Development
8.8
182
8.5
17
7.9
187
Feature Not Available
8.3
184
8.1
17
8.6
187
8.6
17
Model Development
8.5
171
8.2
14
Machine/Deep Learning Services
8.2
173
8.4
16
8.5
179
8.7
17
8.2
170
8.3
16
8.2
172
8.3
17
Machine/Deep Learning Services
8.4
158
8.2
14
8.4
160
8.2
14
Deployment
8.5
176
8.2
17
8.7
179
8.6
17
9.0
185
8.1
17
Generative AI
8.2
86
7.6
7
8.4
87
7.6
7
7.6
86
7.6
7
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
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
181
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
174
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
170
|
Verified
Not enough data
Integration
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
155
|
Verified
Not enough data
9.1
176
|
Verified
Not enough data
Performance
9.1
176
|
Verified
Not enough data
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
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
66
Not enough data
8.7
67
Not enough data
8.8
67
Not enough data
9.1
66
Not enough data
Agentic AI - DataOps Platforms
9.0
8
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
66
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
66
Not enough data
8.6
66
Not enough data
Cloud Deployment
9.1
62
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
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
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
Database
8.7
228
Not enough data
8.9
234
Not enough data
9.3
241
Not enough data
Integrations
8.3
216
Not enough data
9.1
243
Not enough data
Platform
9.0
235
Not enough data
8.8
233
Not enough data
9.1
243
Not enough data
Processing
9.0
232
Not enough data
9.0
229
Not enough data
Data Transformation
8.8
223
Not enough data
9.0
229
Not enough data
Connectivity
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Not enough data
Operations
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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 Domino Enterprise AI Platform are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Domino Enterprise AI Platform has no unique categories
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Domino Enterprise AI Platform
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
15.0%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.8%
Hospital & Health Care
3.6%
Other
58.3%
Computer Software
25.9%
Information Technology and Services
18.5%
Consulting
7.4%
Retail
7.4%
Insurance
7.4%
Other
33.3%
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 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
Dominoes Integration
1 Comment
Official Response from Domino Enterprise AI Platform
Absolutely – please visit https://docs.dominodatalab.com/en/latest/api_guide/f35c19/api-guide/Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
What is Domino machine learning?
1 Comment
Official Response from Domino Enterprise AI Platform
Domino supports a wide variety of machine learning algorithms, from supervised and unsupervised machine learning, to reinforcement learning and deep...Read more
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