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Compare Dataiku and Qlik Sense 
Featured Products
At a Glance
Market Segments
Enterprise (62.6% of reviews)
Enterprise (44.2% of reviews)
Entry-Level Pricing
Free 3 Users
$30 USD/user/month. Billed Annually.
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 plansQlik Sense
Star Rating
(921)4.4 out of 5
Market Segments
Enterprise (44.2% of reviews)
Pros & Cons
Entry-Level Pricing
$30 USD/user/month. Billed Annually.
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Qlik Sense excels in handling complex datasets, particularly with its associative engine, which allows users to link multi-table data seamlessly. This capability is especially beneficial for industries like telecom, where users appreciate the ability to manage intricate activation dashboards without breaking the model.
- Users say that Dataiku stands out for its user-friendly graphical interface, which simplifies the management of code and datasets. Reviewers find this visual alignment soothing and conducive to a smoother workflow, making it easier to prototype and launch MVPs quickly.
- According to verified reviews, both platforms receive similar star ratings, but Dataiku's higher G2 Score indicates a stronger overall user satisfaction. This suggests that while both tools are well-regarded, Dataiku may offer a more favorable experience for a broader range of users.
- Reviewers mention that Qlik Sense is particularly effective for organizations dealing with multiple data sources, streamlining processes and enhancing analytical capabilities. Users highlight its high capacity for processing and transforming data, which can be a game-changer for data-driven decision-making.
- G2 reviewers note that while Qlik Sense has a slightly easier setup process, Dataiku's free entry-level pricing makes it an attractive option for teams looking to explore AI integration without upfront costs. This can be a significant advantage for startups or smaller organizations.
- Users report that Dataiku's support quality is notably higher, with many praising the responsiveness and helpfulness of the support team. In contrast, while Qlik Sense has its strengths, some users feel that its support could be improved, particularly in addressing specific user needs during implementation.
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
Qlik Sense
Qlik Sense® Business
$30
USD/user/month. Billed Annually.
SaaS solution to operationalize analytics across groups and teams.
Free Trial
Dataiku
Free Trial is available
Qlik Sense
Free Trial is available
Ratings
Meets Requirements
8.7
167
8.5
599
Ease of Use
8.7
166
8.4
608
Ease of Setup
8.1
128
8.2
330
Ease of Admin
8.0
60
7.9
330
Quality of Support
8.5
152
8.0
547
Has the product been a good partner in doing business?
8.6
60
8.5
326
Product Direction (% positive)
9.0
163
8.3
579
Features by Category
Reports
7.8
76
8.4
418
|
Verified
7.7
75
8.3
395
|
Verified
7.5
76
8.5
430
|
Verified
7.5
74
8.3
334
|
Verified
7.6
76
8.8
427
|
Verified
Self Service
8.2
75
8.4
357
|
Verified
8.6
74
8.7
413
|
Verified
8.4
74
8.5
402
|
Verified
7.9
74
8.4
396
|
Verified
8.7
74
7.9
344
|
Verified
8.1
74
7.4
305
|
Verified
Advanced Analytics
8.4
74
7.4
234
|
Verified
7.8
75
8.7
406
|
Verified
8.0
74
7.9
296
|
Verified
Building Reports
8.5
91
8.7
252
|
Verified
8.6
88
8.8
246
|
Verified
7.7
85
8.1
211
|
Verified
8.1
89
8.0
184
|
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
8.4
418
|
Verified
7.7
75
8.3
395
|
Verified
7.5
76
8.5
430
|
Verified
7.5
74
8.3
334
|
Verified
7.6
76
8.8
427
|
Verified
Data Preparation
8.7
65
8.6
202
|
Verified
8.2
63
8.4
187
|
Verified
Data Modeling and Blending
8.6
62
8.9
225
|
Verified
8.6
62
9.2
228
|
Verified
8.7
62
8.9
222
|
Verified
Generative AI
7.9
50
7.5
27
8.0
50
7.6
28
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
357
|
Verified
8.6
74
8.7
413
|
Verified
8.4
74
8.5
402
|
Verified
7.9
74
8.4
396
|
Verified
8.7
74
7.9
344
|
Verified
8.1
74
7.4
305
|
Verified
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
7.4
234
|
Verified
7.8
75
8.7
406
|
Verified
8.0
74
7.9
296
|
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
8.7
252
|
Verified
8.6
88
8.8
246
|
Verified
7.7
85
8.1
211
|
Verified
8.1
89
8.0
184
|
Verified
Reports
7.8
76
8.4
418
|
Verified
7.7
75
8.3
395
|
Verified
7.5
76
8.5
430
|
Verified
7.5
74
8.3
334
|
Verified
7.6
76
8.8
427
|
Verified
Self Service
8.2
75
8.4
357
|
Verified
8.6
74
8.7
413
|
Verified
8.4
74
8.5
402
|
Verified
7.9
74
8.4
396
|
Verified
8.7
74
7.9
344
|
Verified
8.1
74
7.4
305
|
Verified
Building Reports
8.5
91
8.7
252
|
Verified
8.6
88
8.8
246
|
Verified
7.7
85
8.1
211
|
Verified
8.1
89
8.0
184
|
Verified
Cartography
Not enough data
8.8
62
Not enough data
8.8
55
Not enough data
9.4
65
Not enough data
9.1
56
Analysis
Not enough data
8.8
56
Not enough data
8.9
56
Not enough data
8.9
56
Not enough data
9.0
58
Reporting
Not enough data
9.3
76
Not enough data
9.0
67
Not enough data
9.0
65
Data Source Access
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Interaction
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
Not enough data
Not enough data
Data Exporting
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
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
Agentic AI - Productivity Bots
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
8.8
71
8.5
35
8.7
66
8.0
35
8.3
68
Data Analysis
8.5
37
9.2
69
8.8
37
9.2
72
Decision Making
8.6
35
8.9
76
7.9
36
9.2
79
7.8
35
8.8
77
8.6
36
9.0
77
Generative AI
8.6
20
8.5
9
8.3
20
8.3
9
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
8.7
252
|
Verified
8.6
88
8.8
246
|
Verified
7.7
85
8.1
211
|
Verified
8.1
89
8.0
184
|
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 Qlik Sense are categorized as Analytics Platforms and Predictive Analytics
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, and AI Agents For Business Operations
Qlik Sense is categorized as Location Intelligence, Productivity Bots, Embedded Business Intelligence, and Data Preparation
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qlik Sense
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
10.9%
Computer Software
6.5%
Financial Services
5.9%
Hospital & Health Care
5.7%
Retail
5.2%
Other
65.8%
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
Do you recommend switching to Qliksense?
3 Comments
PM
Qliksense is pretty decent tool when it comes to Data Visualization and its script editor feature gives the developer the liberty on data manipulation.Read more
Why there is no enough documentation for implementing connectors to other data sources?
1 Comment
A
Hello, please leverage Qlik Community on product-related questions. https://community.qlik.com/t5/Support-Knowledge-Base/tkb-p/qlik-support-knowledge-base....Read more
Comparing the on-premises and SaaS solutions of Qlik Sense, which one would your recommend?
1 Comment
AP
Hi Joseph,
I am a Qlik Partner Ambassador with a vested interest in the success of Qlik solutions.
It is firstly great to see the debate move on from...Read more
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