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Compare Dataiku and Qlik Predict 
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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Enterprise (40.3% of reviews)
Entry-Level Pricing
Free 3 Users
Free
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 Predict
Star Rating
(81)4.4 out of 5
Market Segments
Enterprise (40.3% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in data preparation with a strong score of 8.4 in Data Ingestion & Wrangling, while Qlik AutoML received a lower score of 7.9, indicating that Dataiku may offer more robust tools for cleaning and preparing data.
- Reviewers mention that Dataiku's drag-and-drop interface scored 9.0, making it highly user-friendly for model development, whereas Qlik AutoML's drag-and-drop feature scored 8.6, suggesting that Dataiku may provide a more intuitive experience for users.
- G2 users highlight that Dataiku's pre-built algorithms received a score of 9.1, which is higher than Qlik AutoML's score of 8.8, indicating that Dataiku may offer a wider variety of ready-to-use algorithms for machine learning tasks.
- Users on G2 report that Dataiku's model training scored 9.0, showcasing its efficiency in training models, while Qlik AutoML's model training scored 8.6, suggesting that Dataiku may have an edge in this critical area.
- Reviewers mention that Dataiku's data visualization capabilities scored 7.5, which is lower than Qlik AutoML's score of 8.2, indicating that Qlik AutoML may provide better tools for visualizing data insights.
- Users say that Dataiku's overall ease of use is rated at 8.8, closely matching Qlik AutoML's score of 8.9, suggesting that both platforms are user-friendly, but Qlik AutoML may have a slight advantage in this area.
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
Free Trial
Dataiku
Free Trial is available
Qlik Predict
No trial information availableRatings
Meets Requirements
8.7
167
8.5
65
Ease of Use
8.7
166
8.9
65
Ease of Setup
8.1
128
9.0
31
Ease of Admin
8.0
60
8.7
29
Quality of Support
8.5
152
8.7
59
Has the product been a good partner in doing business?
8.6
60
8.9
30
Product Direction (% positive)
9.0
163
8.7
61
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
System
8.6
75
7.9
26
Model Development
8.4
78
Feature Not Available
8.8
77
8.6
28
8.6
78
8.7
29
8.5
77
8.5
28
Model Development
8.5
77
8.3
27
Machine/Deep Learning Services
8.0
74
Feature Not Available
8.1
74
8.0
21
7.9
73
7.4
11
7.9
72
Feature Not Available
Machine/Deep Learning Services
7.7
68
7.8
18
7.9
69
Feature Not Available
Deployment
8.1
74
8.2
27
8.2
77
8.1
27
8.3
76
8.5
28
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
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
7.7
20
8.5
35
7.5
25
8.0
35
8.2
26
Data Analysis
8.5
37
8.0
31
8.8
37
8.4
31
Decision Making
8.6
35
8.7
29
7.9
36
8.4
30
7.8
35
8.0
29
8.6
36
7.6
26
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
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 Qlik Predict are categorized as Low-Code Machine Learning Platforms, Data Science and Machine Learning Platforms, and Predictive Analytics
Unique Categories
Dataiku is categorized as Large Language Model Operationalization (LLMOps), Big Data Analytics, Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Machine Learning, Analytics Platforms, and AI Orchestration
Qlik Predict has no unique categories
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qlik Predict
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
9.1%
Staffing and Recruiting
5.2%
Retail
5.2%
Hospital & Health Care
5.2%
Financial Services
5.2%
Other
70.1%
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
How do I get access to Kraken?
1 Comment
Official Response from Qlik Predict
Signing Up:
To sign up a new user for Kraken, go to https://kraken.bigsquid.com and click the Sign Up tab.
- Enter an email address
- Setup a new...Read more
How do I create an S3 connection?
1 Comment
Official Response from Qlik Predict
S3 Requirements:
Setting up Kraken to connect to your S3 environment requires the generation of an Access Key and Secret Access Key prior to creating a Data...Read more
How do I create a Snowflake connection?
1 Comment
Official Response from Qlik Predict
Snowflake Requirements:
Setting up Kraken to connect to your Snowflake environment requires a user that has read and write access to the database you would...Read more
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