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Compare Altair AI Studio and Dify.AI 
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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Small-Business (40.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Altair AI Studio
Star Rating
(508)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 StudioDify.AI
Star Rating
(20)4.1 out of 5
Market Segments
Small-Business (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansAltair AI Studio vs Dify.AI
- Reviewers felt that Altair AI Studio meets the needs of their business better than Dify.AI.
- When comparing quality of ongoing product support, reviewers felt that Altair AI Studio is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Dify.AI over Altair AI Studio.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableDify.AI
Sandbox Plan
Free
200 times GPT free trial.
- Message Credits :200 messages
- Model Providers: OpenAI/Anthropic/Llama2/Azure OpenAI/Hugging Face/Replicate
- Team Members : 1
Free Trial
Altair AI Studio
Free Trial is available
Dify.AI
No trial information availableRatings
Meets Requirements
8.6
422
8.5
20
Ease of Use
8.8
421
8.5
20
Ease of Setup
9.0
124
8.8
20
Ease of Admin
8.4
104
Not enough data
Quality of Support
8.5
351
8.2
19
Has the product been a good partner in doing business?
8.9
93
Not enough data
Product Direction (% positive)
8.8
408
9.4
20
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
Not enough data
Model Development
7.7
33
Not enough data
9.1
57
Not enough data
8.5
54
Not enough data
8.4
52
Not enough data
Model Development
8.4
47
Not enough data
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
Not enough data
Deployment
8.0
38
Not enough data
8.3
37
Not enough data
8.5
34
Not enough data
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
8.8
13
Not enough data
8.8
13
Not enough data
9.0
13
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.8
12
Not enough data
8.7
13
Not enough data
8.6
13
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.5
12
Not enough data
8.5
12
Not enough data
8.6
13
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
11
Not enough data
8.6
12
Not enough data
8.8
12
Usability and Support - Generative AI Infrastructure
Not enough data
8.8
13
Not enough data
8.6
13
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
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
Categories
Categories
Shared Categories
Altair AI Studio and Dify.AI are categorized as Generative AI Infrastructure
Unique Categories
Altair AI Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, Analytics Platforms, Predictive Analytics, and Low-Code Machine Learning Platforms
Dify.AI is categorized as Other Development and Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dify.AI
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%
Information Technology and Services
20.0%
Information Services
20.0%
Computer Software
15.0%
Marketing and Advertising
10.0%
Outsourcing/Offshoring
5.0%
Other
30.0%
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
Dify.AI has no discussions with answers
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