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Compare Dataiku and Pentaho 
Featured Products
At a Glance
Market Segments
Enterprise (62.6% of reviews)
Mid-Market (51.1% 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)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansPentaho
Star Rating
(50)4.1 out of 5
Market Segments
Mid-Market (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about PentahoSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in user experience, with many praising its intuitive graphical user interface that simplifies managing code and datasets. Users find it particularly soothing to use, which enhances productivity when prototyping and deploying MVPs quickly.
- According to verified reviews, Pentaho shines in its ability to handle large datasets efficiently, with users highlighting its advanced ETL capabilities. One reviewer noted how easy it was to build reports and dashboards using Pentaho with their Snowflake warehouse, showcasing its flexibility in data handling.
- Users say that Dataiku's strong support for AI integration makes it a great choice for teams looking to enhance their tech stack with machine learning capabilities. Reviewers appreciate the platform's ability to help them get up to speed with AI, making it a valuable tool for innovation.
- Reviewers mention that while Pentaho offers robust analytics features, some users face challenges with setup and configuration. Despite its powerful capabilities, the learning curve can be steep for those unfamiliar with SQL, which may hinder some users from fully leveraging its potential.
- G2 reviewers highlight that Dataiku's overall satisfaction ratings are higher, reflecting a more positive user experience across various metrics, including ease of use and quality of support. This suggests that Dataiku may be a more reliable choice for organizations seeking consistent performance and assistance.
- According to recent feedback, Pentaho's reporting and visualization tools are well-received, with users enjoying the flexibility they offer. However, the lack of recent reviews indicates that it may not be keeping pace with evolving user needs compared to Dataiku, which has garnered more recent positive attention.
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
Pentaho
No pricing availableFree Trial
Dataiku
Free Trial is available
Pentaho
No trial information availableRatings
Meets Requirements
8.7
167
8.2
47
Ease of Use
8.7
166
7.7
47
Ease of Setup
8.1
128
6.6
18
Ease of Admin
8.0
60
6.6
18
Quality of Support
8.5
152
7.8
42
Has the product been a good partner in doing business?
8.6
60
6.9
16
Product Direction (% positive)
9.0
163
7.7
46
Features by Category
Reports
7.8
76
7.7
36
|
Verified
7.7
75
7.9
33
|
Verified
7.5
76
7.4
33
|
Verified
7.5
74
7.3
28
|
Verified
7.6
76
7.8
33
|
Verified
Self Service
8.2
75
7.6
35
|
Verified
8.6
74
7.7
36
|
Verified
8.4
74
7.7
35
|
Verified
7.9
74
Feature Not Available
8.7
74
Feature Not Available
8.1
74
Feature Not Available
Advanced Analytics
8.4
74
7.8
24
|
Verified
7.8
75
7.4
30
|
Verified
8.0
74
8.3
25
|
Verified
Building Reports
8.5
91
Feature Not Available
8.6
88
Feature Not Available
7.7
85
6.9
9
|
Verified
8.1
89
5.2
7
|
Verified
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
Reports
7.8
76
7.7
36
|
Verified
7.7
75
7.9
33
|
Verified
7.5
76
7.4
33
|
Verified
7.5
74
7.3
28
|
Verified
7.6
76
7.8
33
|
Verified
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
7.6
35
|
Verified
8.6
74
7.7
36
|
Verified
8.4
74
7.7
35
|
Verified
7.9
74
Feature Not Available
8.7
74
Feature Not Available
8.1
74
Feature Not Available
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
7.8
24
|
Verified
7.8
75
7.4
30
|
Verified
8.0
74
8.3
25
|
Verified
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
Feature Not Available
8.6
88
Feature Not Available
7.7
85
6.9
9
|
Verified
8.1
89
5.2
7
|
Verified
Reports
7.8
76
7.7
36
|
Verified
7.7
75
7.9
33
|
Verified
7.5
76
7.4
33
|
Verified
7.5
74
7.3
28
|
Verified
7.6
76
7.8
33
|
Verified
Self Service
8.2
75
7.6
35
|
Verified
8.6
74
7.7
36
|
Verified
8.4
74
7.7
35
|
Verified
7.9
74
Feature Not Available
8.7
74
Feature Not Available
8.1
74
Feature Not Available
Building Reports
8.5
91
Feature Not Available
8.6
88
Feature Not Available
7.7
85
6.9
9
|
Verified
8.1
89
5.2
7
|
Verified
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
Not enough data
8.8
77
Not enough data
8.6
78
Not enough data
8.5
77
Not enough data
Model Development
8.5
77
Not enough data
Machine/Deep Learning Services
8.0
74
Not enough data
8.1
74
Not enough data
7.9
73
Not enough data
7.9
72
Not enough data
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
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
7.8
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
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
Feature Not Available
8.6
88
Feature Not Available
7.7
85
6.9
9
|
Verified
8.1
89
5.2
7
|
Verified
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 Pentaho are categorized as Analytics Platforms
Unique Categories
Dataiku is categorized as Low-Code Machine Learning Platforms, AI Orchestration, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Big Data Analytics, Data Science and Machine Learning Platforms, Machine Learning, Predictive Analytics, and AI Agents For Business Operations
Pentaho is categorized as Embedded Business Intelligence
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Pentaho
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%
Information Technology and Services
22.9%
Internet
12.5%
Higher Education
8.3%
Retail
6.3%
Computer Software
6.3%
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
Pentaho has no discussions with answers
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