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Compare Dataiku and Vertex AI 
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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
Free 3 Users
Pay As You Go Per Month
Dataiku
Star Rating
(183)4.4 out of 5
Market Segments
Enterprise (62.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansVertex AI
Star Rating
(592)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in ease of use with a score of 8.8, while Vertex AI scores slightly lower at 8.3. Reviewers mention that Dataiku's intuitive interface and drag-and-drop functionality make it accessible for users with varying levels of technical expertise.
- Reviewers mention that Dataiku's quality of support is rated at 8.7, significantly higher than Vertex AI's 8.2. Users appreciate Dataiku's responsive customer service and comprehensive documentation, which they find helpful for troubleshooting and onboarding.
- Users on G2 highlight Dataiku's strong scalability with a score of 9.0, compared to Vertex AI's 8.8. Reviewers say that Dataiku's architecture allows for seamless scaling as data needs grow, making it a preferred choice for enterprise-level applications.
- Reviewers mention that Vertex AI shines in AI model training scalability, scoring 8.5 compared to Dataiku's 8.1. Users report that Vertex AI's infrastructure is optimized for handling large datasets and complex models, which is crucial for advanced machine learning tasks.
- Users say that Dataiku's versioning capabilities are rated at 8.6, while Vertex AI scores 8.4. Reviewers appreciate Dataiku's robust version control features, which allow teams to track changes and collaborate effectively on data projects.
- G2 users report that Vertex AI offers superior AI high availability with a score of 9.2, compared to Dataiku's 8.3. Reviewers mention that Vertex AI's infrastructure is designed to ensure uptime and reliability, which is essential for mission-critical applications.
Pricing
Entry-Level Pricing
Dataiku
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
Vertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
Dataiku
Free Trial is available
Vertex AI
Free Trial is available
Ratings
Meets Requirements
8.7
167
8.6
359
Ease of Use
8.7
166
8.2
368
Ease of Setup
8.1
128
8.1
291
Ease of Admin
8.0
60
7.9
141
Quality of Support
8.5
152
8.1
335
Has the product been a good partner in doing business?
8.6
60
8.2
135
Product Direction (% positive)
9.0
163
9.2
353
Features by Category
Reports
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
Not enough data
Data Preparation
8.7
65
Not enough data
8.2
63
Not enough data
Data Modeling and Blending
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Not enough data
Generative AI
7.9
50
Not enough data
8.0
50
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
8.2
75
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
7.9
74
Not enough data
8.7
74
Not enough data
8.1
74
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
8.4
74
Not enough data
7.8
75
Not enough data
8.0
74
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
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
Deployment
8.1
15
8.3
73
8.7
15
8.1
74
8.6
15
8.3
74
8.9
15
8.3
70
9.0
15
8.8
70
Deployment
7.8
12
8.4
73
8.5
13
8.3
72
8.5
13
8.4
71
8.8
13
8.5
71
8.8
13
8.7
69
Management
7.6
13
8.3
70
8.5
13
8.5
69
8.3
13
8.0
69
7.8
13
8.1
69
Operations
8.5
13
8.2
69
8.3
13
8.4
70
8.8
13
8.3
70
Management
7.5
12
8.1
68
8.5
13
8.4
69
7.9
13
8.3
68
Generative AI
8.3
6
8.2
34
8.3
6
8.4
34
System
8.6
75
8.2
170
Model Development
8.4
78
8.4
202
8.8
77
7.9
179
8.6
78
8.4
200
8.5
77
8.5
202
Model Development
8.5
77
8.2
165
Machine/Deep Learning Services
8.0
74
8.2
200
8.1
74
8.4
196
7.9
73
8.2
195
7.9
72
8.2
178
Machine/Deep Learning Services
7.7
68
8.5
165
7.9
69
8.4
163
Deployment
8.1
74
8.2
193
8.2
77
8.3
194
8.3
76
8.5
193
Generative AI
8.1
60
8.3
102
8.0
60
8.2
102
7.7
59
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
34
Not enough data
7.8
34
Not enough data
7.7
34
Not enough data
7.8
34
Not enough data
8.4
34
Not enough data
7.8
34
Not enough data
7.9
34
Scalability and Performance - Generative AI Infrastructure
7.8
16
8.9
28
7.5
16
8.6
28
7.4
14
8.5
28
Cost and Efficiency - Generative AI Infrastructure
6.9
15
8.2
28
6.9
7
7.8
28
7.6
7
7.9
28
Integration and Extensibility - Generative AI Infrastructure
7.1
15
8.4
28
7.1
14
8.1
28
7.0
14
8.3
28
Security and Compliance - Generative AI Infrastructure
7.0
14
8.6
28
7.0
14
8.5
28
7.4
14
8.9
28
Usability and Support - Generative AI Infrastructure
7.0
15
8.2
28
6.7
14
8.3
28
Integration - Machine Learning
8.7
26
8.5
67
Learning - Machine Learning
8.3
27
8.5
66
7.9
28
8.3
65
8.0
28
8.8
66
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
8.8
22
7.9
11
8.9
22
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
9.2
22
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
9.0
22
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
9.1
22
7.7
11
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
9.0
21
6.7
11
8.8
21
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
8.7
21
7.4
11
9.0
21
Security - Large Language Model Operationalization (LLMOps)
7.6
11
9.1
22
7.4
11
8.9
22
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
8.9
22
Customization - AI Agent Builders
Not enough data
8.5
27
Not enough data
7.6
27
Not enough data
8.3
26
Functionality - AI Agent Builders
Not enough data
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Data and Analytics - AI Agent Builders
Not enough data
7.7
25
Not enough data
7.9
27
Not enough data
8.0
27
Integration - AI Agent Builders
Not enough data
8.7
27
Not enough data
8.0
27
Not enough data
8.0
27
Not enough data
7.5
27
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
8.2
35
Not enough data
8.5
35
Not enough data
8.0
35
Not enough data
Data Analysis
8.5
37
Not enough data
8.8
37
Not enough data
Decision Making
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Not enough data
Generative AI
8.6
20
Not enough data
8.3
20
Not enough data
Data Transformation
8.5
44
Not enough data
9.2
39
Not enough data
Connectivity
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Not enough data
Operations
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
Not enough data
Building Reports
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
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
Dataiku and Vertex AI are categorized as Large Language Model Operationalization (LLMOps), Low-Code Machine Learning Platforms, Generative AI Infrastructure, MLOps Platforms, Data Science and Machine Learning Platforms, and Machine Learning
Unique Categories
Dataiku is categorized as Big Data Analytics, AWS Marketplace, Analytics Platforms, Predictive Analytics, and AI Orchestration
Vertex AI is categorized as AI Agent Builders
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex 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
Financial Services
15.2%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.3%
Insurance
5.3%
Other
60.8%
Computer Software
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.4%
Alternatives
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