Compare Dataiku and Vertex AI 
At a Glance
Market Segments
Enterprise (61.7% of reviews)
Small-Business (42.0% of reviews)
Entry-Level Pricing
Free 3 Users
Pay As You Go Per Month
Dataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansVertex AI
Star Rating
(652)4.3 out of 5
Market Segments
Small-Business (42.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Vertex AI excels in managing complex machine learning workflows, with users appreciating its ability to centralize the entire ML lifecycle. This integration simplifies tasks from data preparation to deployment, making it a favorite for those looking for a streamlined experience.
- Users say that Dataiku stands out for its collaborative features, allowing both technical and non-technical users to work together effectively. Reviewers highlight its ability to bridge coding and no-code interfaces, fostering teamwork and breaking down silos in data projects.
- According to verified reviews, Dataiku offers a more user-friendly experience, particularly for those new to machine learning. Users commend its intuitive design and ease of use, which helps them navigate the platform without extensive technical knowledge.
- Reviewers mention that Vertex AI's seamless integration with Google Cloud enhances its functionality, making it easier for users already within the Google ecosystem to manage their ML projects. This integration is particularly beneficial for businesses looking to leverage existing cloud resources.
- G2 reviewers highlight that while Dataiku provides a robust environment for data management and model deployment, it may not be as comprehensive as Vertex AI in terms of handling complex workflows. Users note that Vertex AI's centralized approach can significantly reduce the effort required for model training and deployment.
- Users report that both platforms have their strengths, but Vertex AI's recent updates and higher volume of reviews suggest a more active development and support environment. This responsiveness to user feedback is crucial for businesses looking for reliable long-term partnerships in their AI initiatives.
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
No trial information availableRatings
Meets Requirements
8.7
171
8.6
389
Ease of Use
8.8
170
8.2
400
Ease of Setup
8.1
132
8.1
322
Ease of Admin
8.0
61
7.9
149
Quality of Support
8.6
156
8.1
364
Has the product been a good partner in doing business?
8.6
61
8.3
143
Product Direction (% positive)
9.0
167
9.2
383
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
8.4
76
8.7
15
8.1
78
8.6
15
8.3
76
8.9
15
8.4
76
9.0
15
8.8
75
Deployment
7.8
12
8.5
75
8.5
13
8.3
73
8.5
13
8.4
72
8.8
13
8.6
74
8.8
13
8.7
71
Management
7.6
13
8.2
71
8.5
13
8.5
73
8.3
13
8.0
71
7.8
13
8.1
70
Operations
8.5
13
8.2
70
8.3
13
8.5
71
8.8
13
8.3
71
Management
7.5
12
8.1
69
8.5
13
8.4
72
7.9
13
8.3
70
Generative AI
8.3
6
8.4
37
8.3
6
8.6
37
System
8.6
75
8.2
173
Model Development
8.4
78
8.5
208
8.8
77
7.9
181
8.6
78
8.4
206
8.5
77
8.5
209
Model Development
8.5
77
8.2
167
Machine/Deep Learning Services
8.0
74
8.3
203
8.1
74
8.5
202
7.9
73
8.2
200
7.9
72
8.3
181
Machine/Deep Learning Services
7.7
68
8.5
167
7.9
69
8.5
166
Deployment
8.1
74
8.3
213
8.2
77
8.3
203
8.3
76
8.6
207
Generative AI
8.1
60
8.3
110
8.0
60
8.3
106
7.7
59
8.1
105
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
38
Not enough data
7.8
37
Not enough data
7.7
38
Not enough data
7.9
35
Not enough data
8.5
37
Not enough data
7.5
36
Not enough data
7.7
36
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
8.1
18
9.0
31
7.6
19
8.7
32
7.5
16
8.6
31
Cost and Efficiency - Generative AI Infrastructure
7.0
17
8.0
34
7.3
10
7.7
31
8.1
9
8.1
30
Integration and Extensibility - Generative AI Infrastructure
7.5
17
8.5
30
7.7
18
8.3
32
7.5
17
8.5
31
Security and Compliance - Generative AI Infrastructure
7.3
16
8.7
30
7.4
16
8.3
32
7.7
16
8.9
30
Usability and Support - Generative AI Infrastructure
7.3
17
8.2
31
7.1
16
8.5
31
Integration - Machine Learning
8.7
26
8.5
68
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
24
7.9
11
9.0
24
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
9.3
25
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
9.1
24
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
9.2
23
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
9.0
23
7.7
11
8.7
22
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
8.7
23
6.7
11
8.9
22
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
8.7
21
7.4
11
9.1
22
Security - Large Language Model Operationalization (LLMOps)
7.6
11
9.1
22
7.4
11
9.0
23
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
8.9
22
Customization - AI Agent Builders
Not enough data
8.6
28
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
7.8
26
Not enough data
7.9
27
Not enough data
8.1
28
Integration - AI Agent Builders
Not enough data
8.8
28
Not enough data
8.2
30
Not enough data
8.1
28
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
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
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 Low-Code Machine Learning Platforms, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, MLOps Platforms, Data Science and Machine Learning Platforms, and Machine Learning
Unique Categories
Dataiku is categorized as AI Orchestration, AWS Marketplace, Big Data Analytics, Analytics Platforms, Predictive Analytics, and AI Agents For Business Operations
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
14.9%
Pharmaceuticals
7.4%
Retail
5.7%
Manufacturing
5.1%
Consulting
5.1%
Other
61.7%
Computer Software
17.9%
Information Technology and Services
14.3%
Financial Services
6.8%
Retail
3.6%
Hospital & Health Care
3.3%
Other
54.1%
Alternatives
Discussions
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 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 test Data Science Studio ?
1 Comment
PB
Hi,
First of all, thanks for your interest. You can try DSS out for free on Dataiku's website (www.dataiku.com/try). You can download the Community Edition...Read more
What is Google Cloud AI Platform used for?
3 Comments
AO
Vertex AI is Google Cloud’s managed machine learning platform. It’s used to build, train, and deploy ML models at scale. It unifies data, AutoML, and custom...Read more
What software libraries does cloud ML engine support?
3 Comments
AO
Cloud ML Engine (now part of Vertex AI) supports popular ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, and XGBoost. This flexibility...Read more
What is Google AI platform?
2 Comments
ZM
The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
