Compare Azure OpenAI Service and Dataiku
Featured Products
At a Glance
Market Segments
Enterprise (36.2% of reviews)
Enterprise (62.1% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Azure OpenAI Service
Star Rating
(53)4.6 out of 5
Market Segments
Enterprise (36.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure OpenAI Service
Dataiku
Star Rating
(196)4.4 out of 5
Market Segments
Enterprise (62.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plans
Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Azure OpenAI Service excels in enterprise-grade security, which is a critical factor for organizations handling sensitive data. Users appreciate that their data isn’t used to train public models, ensuring compliance and privacy, a feature that is particularly beneficial for regulated industries.
- Users say that Dataiku shines in its ability to streamline AI model development, offering end-to-end automation and collaborative pipelines. Reviewers highlight how it effectively bridges the gap between technical and non-technical users, making it easier for teams to work together on data projects.
- According to verified reviews, Azure OpenAI Service provides a robust integration experience with existing Azure tools, allowing teams to build secure internal knowledge hubs. This seamless integration is noted as a significant advantage for organizations already invested in the Azure ecosystem.
- Reviewers mention that Dataiku's platform is particularly effective for collaboration, enabling both coders and non-coders to utilize data effectively. Users appreciate the centralized and organized data environment, which fosters teamwork and enhances productivity across different skill levels.
- G2 reviewers highlight that Azure OpenAI Service offers superior model deployment options, allowing users to choose specific deployments and control access. This flexibility is seen as a major benefit for large-scale systems, where tailored solutions are often necessary.
- Users report that while Dataiku has a strong focus on data lifecycle management, some find it challenging to configure for specific workflows. This can lead to a steeper learning curve for new users compared to Azure OpenAI Service, which is often praised for its intuitive setup process.
Pricing
Entry-Level Pricing
Azure OpenAI Service
No pricing availableDataiku
Install Dataiku on Your Infrastructure
Free
3 Users
Download Free Edition on Mac, Linux, or virtual machine | Collaborate with up to 3 users | Prepare data and build basic data projects and apps (no deployment, automation, governance)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
- The LLM Mesh
Free Trial
Azure OpenAI Service
No trial information availableDataiku
Free Trial is available
Ratings
Meets Requirements
9.0
44
8.7
175
Ease of Use
9.0
45
8.7
174
Ease of Setup
9.3
42
8.1
135
Ease of Admin
8.8
18
8.0
61
Quality of Support
8.9
41
8.5
159
Has the product been a good partner in doing business?
9.4
18
8.6
61
Product Direction (% positive)
10.0
42
9.1
172
Features by Category
Reports
Not enough data
7.8
76
Not enough data
7.7
75
Not enough data
7.5
76
Not enough data
7.5
74
Not enough data
7.6
76
Data Preparation
Not enough data
8.7
65
Not enough data
8.2
63
Data Modeling and Blending
Not enough data
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Generative AI
Not enough data
7.9
51
Not enough data
8.0
50
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
8.2
76
Not enough data
8.6
75
Not enough data
8.4
75
Not enough data
7.9
74
Not enough data
8.7
74
Not enough data
8.1
74
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
8.4
74
Not enough data
7.8
76
Not enough data
8.0
74
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
8.5
92
Not enough data
8.6
89
Not enough data
7.7
85
Not enough data
8.1
89
Deployment
Not enough data
8.1
15
Not enough data
8.7
15
Not enough data
8.6
15
Not enough data
8.9
15
Not enough data
9.0
15
Deployment
Not enough data
7.8
12
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.8
13
Not enough data
8.8
13
Management
Not enough data
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Operations
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Management
Not enough data
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Generative AI
Not enough data
8.3
6
Not enough data
8.3
6
System
Not enough data
8.6
75
Model Development
Not enough data
8.4
78
Not enough data
8.8
78
Not enough data
8.6
78
Not enough data
8.5
77
Model Development
Not enough data
8.5
78
Machine/Deep Learning Services
Not enough data
8.0
74
Not enough data
8.1
74
Not enough data
7.9
73
Not enough data
7.9
72
Machine/Deep Learning Services
Not enough data
7.7
68
Not enough data
8.0
70
Deployment
Not enough data
8.1
74
Not enough data
8.2
77
Not enough data
8.3
76
Generative AI
Not enough data
8.1
60
Not enough data
8.0
60
Not enough data
7.7
59
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
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
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
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
7.9
17
Not enough data
7.5
18
Not enough data
7.3
15
Cost and Efficiency - Generative AI Infrastructure
Not enough data
6.8
16
Not enough data
7.3
8
Not enough data
7.9
8
Integration and Extensibility - Generative AI Infrastructure
Not enough data
7.3
16
Not enough data
7.5
17
Not enough data
7.2
15
Security and Compliance - Generative AI Infrastructure
Not enough data
7.1
15
Not enough data
7.2
15
Not enough data
7.6
15
Usability and Support - Generative AI Infrastructure
Not enough data
7.0
17
Not enough data
6.9
15
Integration - Machine Learning
9.6
29
8.7
26
Learning - Machine Learning
9.1
13
8.3
27
9.0
17
7.9
28
8.8
12
8.0
28
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
7.5
11
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
11
Not enough data
7.9
11
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
11
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
7.9
11
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.5
11
Not enough data
7.7
11
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
6.8
11
Not enough data
6.7
11
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
7.3
11
Not enough data
7.4
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Not enough data
7.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
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
Performance Optimization & Analytics - AI Orchestration
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
Governance & Compliance Controls - AI Orchestration
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 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
Not enough data
8.2
35
Not enough data
8.5
35
Not enough data
8.0
35
Data Analysis
Not enough data
8.5
37
Not enough data
8.8
37
Decision Making
Not enough data
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Generative AI
Not enough data
8.6
20
Not enough data
8.3
20
Data Transformation
Not enough data
8.5
44
Not enough data
9.2
39
Connectivity
Not enough data
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Operations
Not enough data
8.1
42
Not enough data
9.1
41
Not enough data
8.7
40
Not enough data
8.6
40
Not enough data
8.9
35
Agentic AI - AI Agents
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
Building Reports
Not enough data
8.5
92
Not enough data
8.6
89
Not enough data
7.7
85
Not enough data
8.1
89
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
Azure OpenAI Service and Dataiku are categorized as Machine Learning
Unique Categories
Azure OpenAI Service has no unique categories
Dataiku is categorized as Low-Code Machine Learning Platforms, AI Orchestration, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Predictive Analytics, and AI Agents For Business Operations
Reviews
Reviewers' Company Size
Azure OpenAI Service
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dataiku
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
31.9%
Computer Software
17.0%
Computer & Network Security
6.4%
Financial Services
6.4%
Manufacturing
4.3%
Other
34.0%
Financial Services
15.0%
Pharmaceuticals
7.8%
Manufacturing
5.6%
Retail
5.6%
Consulting
5.0%
Other
61.1%
Alternatives
Discussions
Azure OpenAI Service has no discussions with answers
What data visualization and reporting methods do you support?
2 Comments
Official Response from Dataiku
Dataiku supports a number of tools for engaging stakeholders and team members, including:
- 25 types of interactive charts
- Dashboards that allow you...Read more
Can I securely work on my sensitive data?
2 Comments
PB
Hi,
DSS is on-premise software but we also provide a Amazon image and Docker if desired. You can try DSS on your own computer for free by downloading the...Read more
What machine learning algorithms do you support?
1 Comment
Official Response from Dataiku
Dataiku leverages machine learning libraries from scikit-learn, Spark MLlib, H2O and Vertica for guided ML analyses that give you instant visual &...Read more
