Compare Dataiku and Teradata Vantage 
At a Glance
Market Segments
Enterprise (61.7% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
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 plansTeradata Vantage
Star Rating
(360)4.3 out of 5
Market Segments
Enterprise (68.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Teradata VantageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in providing a user-friendly environment that supports both technical and non-technical users. Its ability to streamline the building, training, and deployment of AI models is particularly praised, making it a go-to choice for teams looking to collaborate effectively.
- Users say that Teradata Vantage stands out for its robust performance in handling large data analyses, with many highlighting its speed and reliability. Reviewers appreciate its on-premise solution that integrates database functions seamlessly into SQL queries, which can be a significant advantage for enterprises with complex data needs.
- According to verified reviews, Dataiku's collaborative features are a major strength, allowing data experts and business teams to work together on a single platform. This capability helps break down silos and enhances productivity, which is essential for organizations aiming to leverage data across departments.
- Reviewers mention that while Teradata Vantage is powerful, it may face challenges in user experience compared to Dataiku. Some users have noted that the setup process can be less intuitive, which might require additional training for new users to fully leverage its capabilities.
- G2 reviewers highlight that Dataiku's end-to-end automation and orchestration of compute resources make it particularly effective for generative AI projects. This feature is seen as a game-changer for teams looking to accelerate their data science initiatives.
- Users report that Teradata Vantage is highly effective for enterprises needing a reliable database solution, but it may not offer the same level of flexibility and ease of use as Dataiku, especially for those who prefer a more visual, no-code approach to data analysis.
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
Teradata Vantage
No pricing availableFree Trial
Dataiku
Free Trial is available
Teradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.7
171
8.7
281
Ease of Use
8.8
170
8.3
284
Ease of Setup
8.1
132
8.0
143
Ease of Admin
8.0
61
8.0
111
Quality of Support
8.6
156
8.3
263
Has the product been a good partner in doing business?
8.6
61
8.2
113
Product Direction (% positive)
9.0
167
8.3
281
Features by Category
Reports
7.8
76
7.7
64
7.7
75
8.1
63
7.5
76
7.0
61
7.5
74
7.5
61
7.6
76
7.4
57
Data Preparation
8.7
65
8.3
52
8.2
63
8.2
50
Data Modeling and Blending
8.6
62
9.0
46
8.6
62
8.8
45
8.7
62
8.1
44
Generative AI
7.9
50
6.5
39
8.0
50
6.4
38
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
8.4
60
8.6
74
8.5
62
8.4
74
8.4
62
7.9
74
8.1
61
8.7
74
7.7
61
8.1
74
7.2
57
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
7.9
62
7.8
75
7.0
62
8.0
74
8.3
59
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
8.5
91
8.6
88
8.4
87
7.7
85
7.2
79
8.1
89
7.8
82
Administration
Not enough data
8.7
21
Not enough data
8.2
20
Not enough data
8.1
19
Not enough data
7.0
19
Management
Not enough data
8.0
20
Not enough data
8.2
19
Not enough data
7.9
21
Not enough data
7.7
20
Not enough data
7.1
20
Compliance
Not enough data
8.7
21
Not enough data
8.3
21
Not enough data
8.8
20
Not enough data
8.7
19
Security
Not enough data
8.8
20
Not enough data
8.8
20
Not enough data
8.1
19
Data Quality
Not enough data
8.7
21
Not enough data
8.9
21
Not enough data
8.5
20
Maintainence
Not enough data
8.4
19
Not enough data
8.0
19
Generative AI
Not enough data
5.6
18
Not enough data
5.6
18
Agentic AI - Data Governance
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
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
Not enough data
Deployment
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
Not enough data
Management
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Not enough data
Operations
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Not enough data
Management
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Not enough data
Generative AI
8.3
6
Not enough data
8.3
6
Not enough data
System
8.6
75
Not enough data
Model Development
8.4
78
8.3
6
8.8
77
8.0
5
8.6
78
7.7
5
8.5
77
8.3
5
Model Development
8.5
77
Not enough data
Machine/Deep Learning Services
8.0
74
7.7
5
8.1
74
7.7
5
7.9
73
7.7
5
7.9
72
8.0
5
Machine/Deep Learning Services
7.7
68
Not enough data
7.9
69
Not enough data
Deployment
8.1
74
Not enough data
8.2
77
Not enough data
8.3
76
Not enough data
Generative AI
8.1
60
Not enough data
8.0
60
Not enough data
7.7
59
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
Platform Basics
Not enough data
9.0
14
Not enough data
9.0
13
Platform Data
Not enough data
9.0
12
Not enough data
8.7
13
Not enough data
8.5
14
Not enough data
8.7
13
Platform Additional Functionality
Not enough data
8.3
13
Not enough data
8.8
14
Not enough data
8.8
14
Agentic AI - Customer Journey Analytics
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 Management
Not enough data
8.3
66
|
Verified
Not enough data
8.3
67
|
Verified
Not enough data
8.3
62
|
Verified
Not enough data
8.2
61
|
Verified
Not enough data
7.0
50
|
Verified
Not enough data
7.3
49
|
Verified
Integration
Not enough data
7.1
59
|
Verified
Not enough data
8.2
63
|
Verified
Not enough data
8.0
59
|
Verified
Deployment
Not enough data
8.4
65
|
Verified
Not enough data
7.9
60
|
Verified
Performance
Not enough data
8.5
67
|
Verified
Security
Not enough data
7.9
60
|
Verified
Not enough data
8.2
54
|
Verified
Generative AI
Not enough data
5.5
40
Not enough data
5.5
41
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
Management
Not enough data
7.9
16
Not enough data
7.8
15
Not enough data
9.2
16
Not enough data
8.3
14
Not enough data
8.7
14
Maintenance
Not enough data
8.6
16
Not enough data
7.9
15
Not enough data
8.9
16
Security
Not enough data
8.6
13
Not enough data
9.0
16
Management
Not enough data
8.9
32
Not enough data
8.8
31
Not enough data
8.7
30
Not enough data
8.7
28
Support
Not enough data
8.3
30
Not enough data
8.6
32
Not enough data
8.5
31
Not enough data
8.8
28
Security
Not enough data
8.7
31
Not enough data
8.6
32
Not enough data
8.6
30
Not enough data
8.8
30
Performance
Not enough data
8.7
29
Not enough data
8.5
31
Not enough data
8.9
32
Not enough data
8.9
30
Not enough data
8.7
34
Database Features
Not enough data
9.0
115
Not enough data
9.2
117
Not enough data
8.9
117
Not enough data
8.7
114
Not enough data
8.7
116
Not enough data
8.8
115
Not enough data
8.8
117
Scalability and Performance - Generative AI Infrastructure
8.1
18
Not enough data
7.6
19
Not enough data
7.5
16
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.0
17
Not enough data
7.3
10
Not enough data
8.1
9
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
17
Not enough data
7.7
18
Not enough data
7.5
17
Not enough data
Security and Compliance - Generative AI Infrastructure
7.3
16
Not enough data
7.4
16
Not enough data
7.7
16
Not enough data
Usability and Support - Generative AI Infrastructure
7.3
17
Not enough data
7.1
16
Not enough data
Integration - Machine Learning
8.7
26
Not enough data
Learning - Machine Learning
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
7.5
11
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
Not enough data
7.9
11
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
Not enough data
7.7
11
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
Not enough data
6.7
11
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
Not enough data
7.4
11
Not enough data
Security - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
7.4
11
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
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
Database
Not enough data
7.9
26
Not enough data
8.8
25
Not enough data
8.2
26
Integrations
Not enough data
7.9
24
Not enough data
8.1
25
Platform
Not enough data
8.7
27
Not enough data
9.0
27
Not enough data
8.1
25
Processing
Not enough data
8.6
23
Not enough data
8.7
26
Data Transformation
8.5
44
8.2
36
9.2
39
9.0
36
Connectivity
8.2
38
7.4
34
8.3
40
7.5
34
8.7
41
7.9
36
8.9
44
8.0
36
Operations
8.1
42
7.7
35
9.1
41
7.8
35
8.7
40
7.7
34
8.6
40
7.3
37
8.9
35
7.5
34
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
8.5
91
8.6
88
8.4
87
7.7
85
7.2
79
8.1
89
7.8
82
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 Teradata Vantage are categorized as Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
Unique Categories
Teradata Vantage is categorized as Data Governance, Customer Journey Analytics, Big Data Processing and Distribution, Database Management Systems (DBMS), Relational Databases, and Data Warehouse
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Teradata Vantage
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%
Information Technology and Services
16.8%
Financial Services
14.1%
Banking
11.5%
Retail
7.1%
Telecommunications
6.8%
Other
43.8%
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
Teradata Vantage has no discussions with answers
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