Compare Altair AI Studio and Databricks 
At a Glance
Market Segments
Small-Business (42.4% of reviews)
Enterprise (45.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Altair AI Studio
Star Rating
(516)4.6 out of 5
Market Segments
Small-Business (42.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Altair AI StudioDatabricks
Star Rating
(721)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks Data Intelligence Platform excels in user satisfaction, particularly for its ability to scale large language models and manage generative AI applications effectively. Users appreciate the platform's unified location for managing security and accessing data files across multiple cloud environments.
- Users say that Altair AI Studio offers a user-friendly experience with its no-code, drag-and-drop interface, making it accessible for those who may not have extensive coding skills. This feature is highlighted as a significant advantage for quickly building and testing machine learning models.
- According to verified reviews, Databricks stands out for its robust support and autoscaling capabilities, which help users optimize cloud resource costs. Reviewers have noted that the support team is responsive and timely, enhancing the overall user experience.
- Reviewers mention that while Altair AI Studio provides efficient data preparation and model training, it may not match the comprehensive capabilities of Databricks when it comes to handling complex AI workflows. Users have expressed a desire for more advanced features in Altair's offerings.
- G2 reviewers highlight that both platforms have similar star ratings, but Databricks has a significantly higher volume of reviews, indicating a broader user base and more reliable feedback. This suggests that Databricks may be a more established choice for enterprises looking for a proven solution.
- Users report that Databricks' interactive notebooks, which support SQL and Python for visualization, enhance usability and streamline workflows. In contrast, while Altair AI Studio is praised for its quick results, some users feel it lacks the depth of features necessary for more complex analytics tasks.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableDatabricks
No pricing availableFree Trial
Altair AI Studio
Free Trial is available
Databricks
Free Trial is available
Ratings
Meets Requirements
8.6
426
8.9
567
Ease of Use
8.8
425
8.9
578
Ease of Setup
9.0
128
8.7
450
Ease of Admin
8.4
104
8.3
181
Quality of Support
8.5
354
8.7
542
Has the product been a good partner in doing business?
8.9
93
8.9
185
Product Direction (% positive)
8.8
412
9.6
555
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
8.9
14
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
9.1
9
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
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
Self Service
Not enough data
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
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
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.0
8
Not enough data
8.5
8
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
8.3
7
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
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
8.8
86
Compliance
Not enough data
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Security
Not enough data
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
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
171
Not enough data
8.5
164
Functionality
Not enough data
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Deployment
Not enough data
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
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
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
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
8.5
52
8.9
180
Model Development
7.5
35
8.8
182
9.1
58
7.9
187
8.5
54
8.3
186
8.4
52
8.7
190
Model Development
8.4
47
8.5
172
Machine/Deep Learning Services
7.7
30
8.2
174
7.9
35
8.5
180
7.5
23
8.3
172
8.4
39
8.2
172
Machine/Deep Learning Services
7.6
32
8.4
158
8.3
35
8.4
160
Deployment
8.0
38
8.5
178
8.3
37
8.7
180
8.5
34
9.0
187
Generative AI
6.7
6
8.2
86
6.7
6
8.4
87
6.4
6
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
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Data Management
Not enough data
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
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.1
177
|
Verified
Security
Not enough data
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Not enough data
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Agentic AI - DataOps Platforms
Not enough data
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
Analytics
Not enough data
8.8
67
Not enough data
8.5
67
Monitoring and Management
Not enough data
8.6
67
Not enough data
8.6
68
Cloud Deployment
Not enough data
9.0
63
Not enough data
9.0
64
Generative AI
Not enough data
8.9
36
Not enough data
8.9
36
Setup
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Not enough data
Data
8.0
5
Not enough data
8.3
5
Not enough data
Analysis
8.3
5
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
7.0
5
Not enough data
7.0
5
Not enough data
7.0
5
Not enough data
6.0
5
Not enough data
Customization
8.3
5
Not enough data
8.7
5
Not enough data
8.0
5
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
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
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
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
7.9
176
Not enough data
8.9
249
Not enough data
8.6
266
Not enough data
Data Analysis
8.8
284
Not enough data
8.6
269
Not enough data
Decision Making
8.9
275
Not enough data
8.0
251
Not enough data
7.9
254
Not enough data
8.2
226
Not enough data
Generative AI
7.2
6
Not enough data
6.9
6
Not enough data
Database
Not enough data
8.7
236
Not enough data
8.9
243
Not enough data
9.3
256
Integrations
Not enough data
8.3
220
Not enough data
9.1
256
Platform
Not enough data
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Processing
Not enough data
9.0
242
Not enough data
9.0
242
Data Transformation
Not enough data
8.8
226
Not enough data
9.1
232
Connectivity
Not enough data
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Operations
Not enough data
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
229
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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
Altair AI Studio and Databricks are categorized as Data Science and Machine Learning Platforms, Analytics Platforms, and Generative AI Infrastructure
Unique Categories
Altair AI Studio is categorized as Text Analysis, Predictive Analytics, and Low-Code Machine Learning Platforms
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, Database Management Systems (DBMS), AI Agent Builders, and AI Gateways
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
Higher Education
18.3%
Education Management
15.2%
Information Technology and Services
9.1%
Research
7.0%
Computer Software
6.8%
Other
43.6%
Information Technology and Services
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Alternatives
Discussions
How to predict 8 test values using 12 other test values. 500 data points available for each tests. Also what should I do to find a relation between parameters.
3 Comments
NJ
Hello Daniel,
Yes, you are right setting each one of 8 as a function of those 12 and using simple regression does solve it. I tried previously in the same...Read more
How do I deploy a process successfully designed in Rapidminer in the field?
1 Comment
II
first determine the data object that will be processed in rapidminer, the data used is not structured, and not derived from the questionnaire...Read more
What is the best tool for predictive analytics for Manufacturing Industries?
1 Comment
FZ
RapidMiner has an initial workflow for predictive maintenance.
You could start experimenting fast and then fine-tune the model.Read more
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
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