Compare Dataiku and IBM watsonx.ai
Featured Products
At a Glance
Market Segments
Enterprise (62.1% of reviews)
Small-Business (42.6% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
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
IBM watsonx.ai
Star Rating
(143)4.4 out of 5
Market Segments
Small-Business (42.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.ai
Dataiku vs IBM watsonx.ai
When assessing the two solutions, reviewers found IBM watsonx.ai easier to use, set up, and administer. Reviewers also preferred doing business with IBM watsonx.ai overall.
- Reviewers felt that IBM watsonx.ai meets the needs of their business better than Dataiku.
- When comparing quality of ongoing product support, reviewers felt that IBM watsonx.ai is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM watsonx.ai over Dataiku.
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
IBM watsonx.ai
No pricing availableFree Trial
Dataiku
Free Trial is available
IBM watsonx.ai
Free Trial is available
Ratings
Meets Requirements
8.7
175
8.8
91
Ease of Use
8.7
174
8.8
124
Ease of Setup
8.1
135
8.4
115
Ease of Admin
8.0
61
8.6
39
Quality of Support
8.5
159
8.7
90
Has the product been a good partner in doing business?
8.6
61
8.8
39
Product Direction (% positive)
9.1
172
9.9
92
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
51
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
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
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
76
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
92
Not enough data
8.6
89
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
Deployment
8.1
15
9.1
9
8.7
15
8.5
9
8.6
15
7.8
9
8.9
15
8.7
9
9.0
15
8.7
9
Deployment
7.8
12
9.3
9
8.5
13
8.7
9
8.5
13
8.3
9
8.8
13
8.9
9
8.8
13
9.1
9
Management
7.6
13
8.0
9
8.5
13
8.5
9
8.3
13
8.5
9
7.8
13
9.3
9
Operations
8.5
13
9.1
9
8.3
13
8.7
9
8.8
13
9.3
9
Management
7.5
12
8.5
9
8.5
13
9.0
8
7.9
13
8.5
8
Generative AI
8.3
6
9.1
9
8.3
6
9.3
9
System
8.6
75
8.2
33
Model Development
8.4
78
8.7
35
8.8
78
8.4
38
8.6
78
8.7
34
8.5
77
8.3
36
Model Development
8.5
78
8.4
34
Machine/Deep Learning Services
8.0
74
Feature Not Available
8.1
74
8.9
34
7.9
73
8.7
35
7.9
72
8.1
33
Machine/Deep Learning Services
7.7
68
8.6
34
8.0
70
8.8
34
Deployment
8.1
74
8.3
34
8.2
77
8.7
34
8.3
76
8.8
36
Generative AI
8.1
60
8.9
35
8.0
60
8.9
34
7.7
59
Feature Not Available
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
Data Type
Not enough data
8.8
13
Not enough data
Feature Not Available
Not enough data
8.5
12
Synthesis Type
Not enough data
9.0
12
Not enough data
9.2
12
Data Transformation
Not enough data
8.6
12
Not enough data
9.3
12
Not enough data
9.7
12
Not enough data
9.2
12
Not enough data
9.2
12
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
7.9
17
9.4
9
7.5
18
8.9
9
7.3
15
9.1
9
Cost and Efficiency - Generative AI Infrastructure
6.8
16
7.8
9
7.3
8
8.6
7
7.9
8
8.6
7
Integration and Extensibility - Generative AI Infrastructure
7.3
16
9.5
7
7.5
17
8.8
7
7.2
15
9.0
7
Security and Compliance - Generative AI Infrastructure
7.1
15
8.8
7
7.2
15
9.0
7
7.6
15
8.8
7
Usability and Support - Generative AI Infrastructure
7.0
17
9.4
6
6.9
15
9.3
7
Content Generation - AI Content Creation Platforms
Not enough data
9.3
5
Not enough data
9.7
5
Not enough data
Not enough data
Management - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
8.7
26
9.0
21
Learning - Machine Learning
8.3
27
9.2
23
7.9
28
9.1
22
8.0
28
9.0
21
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
9.3
7
7.9
11
8.3
5
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
9.0
5
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
9.0
5
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
8.8
10
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
8.7
10
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
7.4
12
7.7
11
9.0
10
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
9.3
5
6.7
11
8.5
10
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
8.9
6
7.4
11
9.0
5
Security - Large Language Model Operationalization (LLMOps)
7.6
11
9.3
5
7.4
11
9.2
6
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
9.3
5
Customization - AI Agent Builders
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
8.9
6
Functionality - AI Agent Builders
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
8.9
6
Data and Analytics - AI Agent Builders
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
9.2
6
Integration - AI Agent Builders
Not enough data
9.0
7
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
8.3
6
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
92
Not enough data
8.6
89
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 IBM watsonx.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
IBM watsonx.ai is categorized as Synthetic Data, AI Content Creation Platforms, and AI Agent Builders
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.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
15.0%
Pharmaceuticals
7.8%
Manufacturing
5.6%
Retail
5.6%
Consulting
5.0%
Other
61.1%
Information Technology and Services
19.8%
Computer Software
12.7%
Consulting
7.1%
Financial Services
6.3%
Banking
6.3%
Other
47.6%
Alternatives
Discussions
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
IBM watsonx.ai has no discussions with answers
