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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
No pricing available
30 day free trial
Altair AI Studio
Star Rating
(509)4.6 out of 5
Market Segments
Small-Business (42.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Altair AI StudioQubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Qubole excels in data ingestion and wrangling with a score of 9.0, making it a preferred choice for handling large datasets efficiently, while Altair AI Studio, with a score of 8.6, is noted for its ease of setup and user-friendly interface, which reviewers appreciate for quick onboarding.
- Reviewers mention that Qubole's drag-and-drop functionality scores 9.2, allowing users to easily manipulate data without extensive coding, whereas Altair AI Studio's drag-and-drop feature, scoring 9.1, is highlighted for its intuitive design that enhances user experience in model development.
- G2 users indicate that Qubole's quality of support is rated at 7.9, which some users find lacking compared to Altair AI Studio's higher score of 8.5, where reviewers appreciate the responsive customer service and comprehensive documentation provided.
- Users on G2 report that Qubole's statistical tools and data mining capabilities score 9.0, making it a strong contender for advanced analytics, while Altair AI Studio's machine learning services, particularly in deep learning, receive praise with a score of 8.3, showcasing its robust model training features.
- Reviewers mention that Qubole's performance in real-time data collection is rated at 8.0, which is beneficial for users needing immediate insights, while Altair AI Studio's real-time analytics score of 8.0 is appreciated for its seamless integration with existing workflows.
- Users say that Qubole's deployment as a managed service scores 9.0, which is favored for its scalability and ease of use, while Altair AI Studio's deployment options, scoring 8.0, are noted for flexibility but may require more configuration, according to some reviewers.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableQubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
Free Trial
Altair AI Studio
Free Trial is available
Qubole
Free Trial is available
Ratings
Meets Requirements
8.6
422
8.4
211
Ease of Use
8.8
421
7.8
212
Ease of Setup
9.0
124
7.6
60
Ease of Admin
8.4
104
7.6
58
Quality of Support
8.5
351
7.9
177
Has the product been a good partner in doing business?
8.9
93
8.1
61
Product Direction (% positive)
8.8
408
7.1
208
Features by Category
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
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
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
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
System
8.5
52
9.0
7
Model Development
7.7
33
7.9
7
9.1
57
6.7
5
8.5
54
8.0
5
8.4
52
8.1
6
Model Development
8.4
47
8.3
5
Machine/Deep Learning Services
7.7
30
Not enough data
7.9
35
Not enough data
7.5
23
Not enough data
8.4
39
Not enough data
Machine/Deep Learning Services
7.6
32
Not enough data
8.3
35
8.0
5
Deployment
8.0
38
9.0
5
8.3
37
8.3
6
8.5
34
8.8
7
Generative AI
6.7
6
Not enough data
6.7
6
Not enough data
6.4
6
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
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
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
Statistical Tool
7.9
176
Not enough data
8.9
249
Not enough data
8.6
266
Not enough data
Data Analysis
8.8
283
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
8.0
64
Not enough data
8.4
83
Not enough data
8.3
79
Integrations
Not enough data
8.6
81
Not enough data
8.6
87
Platform
Not enough data
8.3
72
Not enough data
8.3
82
Not enough data
8.6
87
Processing
Not enough data
8.5
85
Not enough data
8.3
82
Data Transformation
Not enough data
8.0
119
|
Verified
Not enough data
8.8
10
|
Verified
Connectivity
Not enough data
8.8
107
|
Verified
Not enough data
8.6
123
|
Verified
Not enough data
8.3
108
|
Verified
Not enough data
8.5
113
|
Verified
Operations
Not enough data
7.0
104
|
Verified
Not enough data
7.8
116
|
Verified
Not enough data
7.2
75
|
Verified
Not enough data
7.8
69
|
Verified
Not enough data
8.8
11
|
Verified
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
Altair AI Studio and Qubole are categorized as Data Science and Machine Learning Platforms
Unique Categories
Altair AI Studio is categorized as Text Analysis, Analytics Platforms, Predictive Analytics, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Qubole is categorized as Big Data Processing and Distribution, Big Data Analytics, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qubole
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
15.4%
Information Technology and Services
9.1%
Research
6.8%
Computer Software
6.8%
Other
43.6%
Computer Software
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
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
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 Comments
RR
It give clarity about financial data which help at business level to expansion and cut down cost , to review apex and opex and budgeting prospectiveRead more
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
2 Comments
RR
we can create schma by using postman and multiple chart which to help to analysis the data and clarity about the decision making of further processRead more
How is Qubole going to survive the Kubernates wave in bigdata processing.
1 Comment
JV
Qubole supports Kubernetes for its control plane—it was announced in April 2019 during the Google Next '19 conference. Please sign up to our newsletter for...Read more
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