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Compare Dataiku and MATLAB 
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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Enterprise (42.0% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(183)4.4 out of 5
Market Segments
Enterprise (62.6% of reviews)
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansMATLAB
Star Rating
(759)4.5 out of 5
Market Segments
Enterprise (42.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MATLABSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in Data Querying with a score of 9.2, allowing for complex queries and data manipulation, while MATLAB's score of 8.6 indicates it may not be as robust in this area. Reviewers mention that Dataiku's intuitive interface makes it easier to perform advanced queries.
- Reviewers mention that MATLAB shines in Data Visualization, scoring 9.1 compared to Dataiku's 8.1. Users say that MATLAB's built-in visualization tools are more sophisticated, enabling clearer and more customizable visual outputs.
- Users on G2 highlight Dataiku's strong performance in Data Workflow with a score of 9.1, which reviewers say facilitates seamless integration of various data processes. In contrast, MATLAB's score of 8.9 suggests it may not be as user-friendly for managing complex workflows.
- Reviewers mention that both platforms offer solid Pre-Built Algorithms, but MATLAB's score of 9.0 outshines Dataiku's 8.6. Users report that MATLAB provides a wider range of advanced algorithms, particularly for statistical analysis and machine learning.
- G2 users report that Dataiku's Ease of Use score of 8.7 is higher than MATLAB's 8.3, indicating that Dataiku is generally more accessible for beginners. Reviewers say that the drag-and-drop functionality in Dataiku simplifies the modeling process significantly.
- Users say that while both platforms support Natural Language Processing, MATLAB's score of 8.3 is slightly better than Dataiku's 8.1. Reviewers mention that MATLAB's NLP capabilities are more comprehensive, particularly in text analysis and sentiment detection.
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
MATLAB
No pricing availableFree Trial
Dataiku
Free Trial is available
MATLAB
No trial information availableRatings
Meets Requirements
8.7
167
9.0
666
Ease of Use
8.7
166
8.3
675
Ease of Setup
8.1
128
8.6
77
Ease of Admin
8.0
60
8.4
41
Quality of Support
8.5
152
8.6
619
Has the product been a good partner in doing business?
8.6
60
8.4
38
Product Direction (% positive)
9.0
163
8.8
664
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
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
Design
Not enough data
8.4
147
Not enough data
8.2
164
Not enough data
8.1
166
Not enough data
8.0
141
Tools
Not enough data
8.4
127
Not enough data
8.5
150
Not enough data
8.4
132
Work
Not enough data
8.8
159
Not enough data
8.9
161
Not enough data
8.7
145
Not enough data
8.3
135
Not enough data
8.4
141
Environment
Not enough data
8.4
163
Not enough data
8.7
162
Not enough data
8.4
138
Not enough data
8.8
177
System
8.6
75
8.5
74
Model Development
8.4
78
8.5
96
8.8
77
8.6
94
8.6
78
9.0
102
8.5
77
8.6
98
Model Development
8.5
77
8.7
79
Machine/Deep Learning Services
8.0
74
8.8
88
8.1
74
8.3
78
7.9
73
8.2
76
7.9
72
8.6
90
Machine/Deep Learning Services
7.7
68
8.5
69
7.9
69
8.7
77
Deployment
8.1
74
8.4
82
8.2
77
8.7
92
8.3
76
8.4
93
Generative AI
8.1
60
8.0
14
8.0
60
8.3
14
7.7
59
7.5
14
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.7
10
Not enough data
8.7
10
Not enough data
7.8
10
Not enough data
9.0
10
Not enough data
7.8
10
Not enough data
7.7
10
Not enough data
8.0
10
Scalability and Performance - Generative AI Infrastructure
7.8
16
Not enough data
7.5
16
Not enough data
7.4
14
Not enough data
Cost and Efficiency - Generative AI Infrastructure
6.9
15
Not enough data
6.9
7
Not enough data
7.6
7
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.1
15
Not enough data
7.1
14
Not enough data
7.0
14
Not enough data
Security and Compliance - Generative AI Infrastructure
7.0
14
Not enough data
7.0
14
Not enough data
7.4
14
Not enough data
Usability and Support - Generative AI Infrastructure
7.0
15
Not enough data
6.7
14
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
Data Transformation
8.5
44
8.7
73
|
Verified
9.2
39
8.6
45
|
Verified
Connectivity
8.2
38
8.3
47
|
Verified
8.3
40
8.6
50
|
Verified
8.7
41
8.4
60
|
Verified
8.9
44
8.3
52
|
Verified
Operations
8.1
42
9.1
73
|
Verified
9.1
41
8.9
68
|
Verified
8.7
40
Feature Not Available
8.6
40
8.8
60
|
Verified
8.9
35
8.8
36
|
Verified
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 MATLAB are categorized as Big Data Analytics and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MATLAB
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%
Higher Education
15.6%
Research
12.9%
Computer Software
6.9%
Mechanical or Industrial Engineering
6.8%
Education Management
6.2%
Other
51.6%
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
Any good website to discuss about the matlab programming?
3 Comments
TD
Mathworks site would be better place since it's the official website of the producers of the matlabRead more
Can I use Matlab for free?
3 Comments
PC
You can use the trial version of MATLAB for free. Also, if you pursue any online courses e.g. from coursera, they allow you to use MATLAB for free for the...Read more
Is it possible to check the output of Simulink terminal if I am not keeping a scope?
2 Comments
MA
Yes, If you prepared from the beginning "to work space" block for all the Simulink model. You can view any variable you want. Read more
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