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At a Glance
Market Segments
Mid-Market (39.1% of reviews)
Enterprise (62.6% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Cloudera Data Engineering
Star Rating
(23)4.7 out of 5
Market Segments
Mid-Market (39.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data EngineeringDataiku
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in its user-friendly interface, particularly with its drag-and-drop functionality, which received a score of 9.0. In contrast, Cloudera Data Engineering also offers a strong drag-and-drop feature but slightly edges out with a score of 9.4, making it more appealing for users who prioritize ease of use in data preparation.
- Reviewers mention that Cloudera Data Engineering shines in its managed service capabilities, scoring 9.3, which is significantly higher than Dataiku's score of 7.9. This indicates that Cloudera provides a more robust managed service experience, which is crucial for enterprises looking for reliable support.
- G2 users highlight that Dataiku's data mining capabilities are impressive, with a score of 9.7, showcasing its strength in extracting insights from large datasets. However, Cloudera Data Engineering is not far behind, with a strong focus on real-time analytics, scoring 8.1, which is essential for businesses needing immediate data insights.
- Users on G2 report that Cloudera Data Engineering offers superior scalability, scoring 9.4 compared to Dataiku's 8.3. This makes Cloudera a better choice for organizations anticipating rapid growth and needing a platform that can scale efficiently.
- Reviewers mention that Dataiku's reporting interface, while functional, scored only 7.9, indicating room for improvement. In contrast, Cloudera Data Engineering's reporting features are more robust, with users appreciating the quality and flexibility of its dashboards, which scored 9.4.
- Users say that Cloudera Data Engineering's integration capabilities, particularly with Hadoop and Spark, are highly rated, with scores of 8.3 and 9.0 respectively. This is a significant advantage for users who rely on these technologies, while Dataiku's integration options are perceived as less comprehensive.
Pricing
Entry-Level Pricing
Cloudera Data Engineering
No pricing availableDataiku
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
Free Trial
Cloudera Data Engineering
No trial information availableDataiku
Free Trial is available
Ratings
Meets Requirements
9.2
23
8.7
167
Ease of Use
9.3
23
8.7
166
Ease of Setup
9.8
7
8.1
128
Ease of Admin
9.5
7
8.0
60
Quality of Support
9.2
22
8.5
152
Has the product been a good partner in doing business?
9.3
7
8.6
60
Product Direction (% positive)
10.0
23
9.0
163
Features by Category
Reports
Not enough data
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
Data Preparation
Not enough data
8.7
65
Not enough data
8.2
63
Data Modeling and Blending
Not enough data
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Generative AI
Not enough data
7.9
50
Not enough data
8.0
50
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
Not enough data
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
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
Not enough data
8.4
74
Not enough data
7.8
75
Not enough data
8.0
74
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
Not enough data
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Deployment
Not enough data
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
Deployment
Not enough data
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
Management
Not enough data
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Operations
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Management
Not enough data
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Generative AI
Not enough data
8.3
6
Not enough data
8.3
6
System
9.5
16
8.6
75
Model Development
9.8
16
8.4
78
9.3
17
8.8
77
9.2
15
8.6
78
9.3
16
8.5
77
Model Development
9.2
15
8.5
77
Machine/Deep Learning Services
9.2
16
8.0
74
9.4
16
8.1
74
9.3
16
7.9
73
9.2
16
7.9
72
Machine/Deep Learning Services
9.6
15
7.7
68
9.6
14
7.9
69
Deployment
9.3
16
8.1
74
9.5
17
8.2
77
9.4
16
8.3
76
Generative AI
9.4
14
8.1
60
9.0
14
8.0
60
9.1
15
7.7
59
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
7.8
16
Not enough data
7.5
16
Not enough data
7.4
14
Cost and Efficiency - Generative AI Infrastructure
Not enough data
6.9
15
Not enough data
6.9
7
Not enough data
7.6
7
Integration and Extensibility - Generative AI Infrastructure
Not enough data
7.1
15
Not enough data
7.1
14
Not enough data
7.0
14
Security and Compliance - Generative AI Infrastructure
Not enough data
7.0
14
Not enough data
7.0
14
Not enough data
7.4
14
Usability and Support - Generative AI Infrastructure
Not enough data
7.0
15
Not enough data
6.7
14
Integration - Machine Learning
Not enough data
8.7
26
Learning - Machine Learning
Not enough data
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
7.5
11
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
11
Not enough data
7.9
11
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
11
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
7.9
11
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.5
11
Not enough data
7.7
11
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
6.8
11
Not enough data
6.7
11
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
7.3
11
Not enough data
7.4
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Not enough data
7.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
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
Not enough data
8.2
35
Not enough data
8.5
35
Not enough data
8.0
35
Data Analysis
Not enough data
8.5
37
Not enough data
8.8
37
Decision Making
Not enough data
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Generative AI
Not enough data
8.6
20
Not enough data
8.3
20
Data Transformation
Not enough data
8.5
44
Not enough data
9.2
39
Connectivity
Not enough data
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Operations
Not enough data
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
Building Reports
Not enough data
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
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
Cloudera Data Engineering and Dataiku are categorized as Data Science and Machine Learning Platforms
Unique Categories
Cloudera Data Engineering has no unique categories
Reviews
Reviewers' Company Size
Cloudera Data Engineering
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dataiku
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
Information Technology and Services
26.1%
Computer Software
26.1%
Consulting
13.0%
Banking
8.7%
Program Development
4.3%
Other
21.7%
Financial Services
15.2%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.3%
Insurance
5.3%
Other
60.8%
Alternatives
Discussions
Cloudera Data Engineering has no discussions with answers
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
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