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Compare Arize AI and Databricks Data Intelligence Platform 
Featured Products
At a Glance
Market Segments
Small-Business (43.5% of reviews)
Enterprise (46.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Arize AI
Star Rating
(23)4.2 out of 5
Market Segments
Small-Business (43.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Arize AIDatabricks Data Intelligence Platform
Star Rating
(658)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher overall score compared to Arize AI. Users appreciate its ability to scale large language models and manage data across multiple cloud environments seamlessly.
- Users say that the interactive notebooks in Databricks provide a user-friendly interface for visualizing data with SQL and Python, making it easier for teams to collaborate and analyze data effectively. In contrast, while Arize AI offers a solid platform for monitoring machine learning models, some users find its interface less intuitive.
- Reviewers mention that Databricks' autoscaling feature is particularly beneficial, helping to reduce cloud resource costs while maintaining performance. This feature has been highlighted as a game-changer for users who are new to autoscaling, whereas Arize AI does not have similar feedback regarding cost efficiency.
- According to verified reviews, Arize AI shines in its search and retrieval functionality, providing a diverse set of tools for addressing various issues. Users find the langchain integration immensely helpful, which is a strong point for those focused on real-time monitoring of machine learning models.
- G2 reviewers highlight that while Databricks has a robust support system, Arize AI's support quality is rated even higher, indicating that users feel more satisfied with the assistance they receive when using Arize AI. This could be a deciding factor for teams that prioritize support in their MLOps journey.
- Users report that Databricks has a more extensive user base and a higher volume of reviews, suggesting a more established presence in the market. This contrasts with Arize AI, which, despite having fewer reviews, still garners positive feedback for its comprehensive monitoring capabilities, particularly in identifying model drift and performance issues.
Pricing
Entry-Level Pricing
Arize AI
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Arize AI
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
7.5
8
8.9
538
Ease of Use
7.7
8
8.9
549
Ease of Setup
Not enough data
8.7
422
Ease of Admin
Not enough data
8.3
176
Quality of Support
9.4
8
8.7
513
Has the product been a good partner in doing business?
Not enough data
8.9
180
Product Direction (% positive)
10.0
8
9.6
527
Features by Category
Reports
Not enough data
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
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.0
8
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
Not enough data
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
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Building Reports
Not enough data
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Administration
Not enough data
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Management
Not enough data
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
Compliance
Not enough data
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Security
Not enough data
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
Not enough data
8.6
169
Not enough data
8.5
163
Functionality
Not enough data
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
Deployment
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Deployment
Not enough data
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
Management
Not enough data
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.8
178
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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
Data Management
Not enough data
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
Integration
Not enough data
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
155
|
Verified
Not enough data
9.1
176
|
Verified
Performance
Not enough data
9.1
176
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
Data Management
Not enough data
9.0
66
Not enough data
8.7
67
Not enough data
8.8
67
Not enough data
9.1
66
Agentic AI - DataOps Platforms
Not enough data
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
Analytics
Not enough data
8.8
66
Not enough data
8.5
64
Monitoring and Management
Not enough data
8.6
66
Not enough data
8.6
66
Cloud Deployment
Not enough data
9.1
62
Not enough data
9.0
62
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Database
Not enough data
8.7
229
Not enough data
8.9
235
Not enough data
9.3
242
Integrations
Not enough data
8.3
217
Not enough data
9.1
244
Platform
Not enough data
9.0
236
Not enough data
8.8
234
Not enough data
9.1
244
Processing
Not enough data
9.0
233
Not enough data
9.0
230
Data Transformation
Not enough data
8.8
223
Not enough data
9.0
229
Connectivity
Not enough data
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Operations
Not enough data
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
Building Reports
Not enough data
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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
Arize AI and Databricks Data Intelligence Platform are categorized as MLOps Platforms
Unique Categories
Arize AI has no unique categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Arize AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence 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
21.7%
Computer Software
13.0%
Financial Services
8.7%
Computer & Network Security
8.7%
Sports
4.3%
Other
43.5%
Information Technology and Services
15.1%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
Alternatives
Discussions
Arize AI has no discussions with answers
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
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