Compare Alteryx and Dataiku 
At a Glance
Market Segments
Enterprise (65.1% of reviews)
Enterprise (51.7% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Alteryx
Star Rating
(635)4.6 out of 5
Market Segments
Enterprise (65.1% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about AlteryxDataiku
Star Rating
(68)4.4 out of 5
Market Segments
Enterprise (51.7% 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 Alteryx excels in data ingestion and wrangling, scoring a remarkable 9.3, while Dataiku trails with a score of 8.4. Reviewers mention that Alteryx's drag-and-drop interface simplifies complex data preparation tasks, making it a favorite among data analysts.
- Reviewers mention that Dataiku shines in model development, particularly with its pre-built algorithms, which scored 9.1 compared to Alteryx's 8.2. Users on G2 appreciate the ease of use in Dataiku's model training features, allowing for quicker deployment of machine learning models.
- Users say that Alteryx's reporting capabilities, particularly in data transformation, received a high score of 9.2, while Dataiku scored slightly lower at 9.3. However, reviewers mention that Dataiku's WYSIWYG report design feature is more intuitive, scoring 8.6 compared to Alteryx's 7.3, making it easier for users to create visually appealing reports.
- G2 users highlight that Alteryx offers superior scalability with a score of 8.7, while Dataiku scored 8.3. Reviewers mention that Alteryx's managed service deployment options provide flexibility for enterprise-level applications, which is crucial for large organizations.
- Users report that Dataiku's collaboration features are highly rated, with a score of 9.0 for governed discovery, compared to Alteryx's 8.5. Reviewers mention that Dataiku's workflow capabilities facilitate teamwork and project management, making it a preferred choice for collaborative environments.
- Reviewers mention that Alteryx's quality of support is rated at 8.5, matching Dataiku's score, but users on G2 have noted that Alteryx's support team is particularly responsive and helpful, which can be a deciding factor for businesses needing reliable assistance.
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Pricing
Entry-Level Pricing
Alteryx
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
Alteryx
Free Trial is available
Dataiku
Free Trial is available
Ratings
Meets Requirements
8.8
296
8.8
55
Ease of Use
8.7
439
8.8
55
Ease of Setup
8.6
234
7.7
35
Ease of Admin
8.4
76
7.9
19
Quality of Support
8.5
277
8.7
50
Has the product been a good partner in doing business?
9.0
80
8.7
20
Product Direction (% positive)
9.2
285
8.9
53
Features by Category
Reports
7.5
173
|
Verified
7.2
21
8.2
119
7.4
21
6.8
171
|
Verified
7.3
22
7.7
102
7.4
21
7.0
144
|
Verified
7.5
22
Self Service
9.0
182
|
Verified
7.9
21
9.2
187
|
Verified
8.7
21
9.0
177
|
Verified
8.7
21
8.3
171
|
Verified
8.0
21
8.5
174
|
Verified
8.8
22
8.0
136
|
Verified
8.1
22
Advanced Analytics
8.2
151
|
Verified
8.9
21
7.2
165
|
Verified
7.6
22
8.2
151
|
Verified
8.5
22
Building Reports
9.1
138
|
Verified
8.7
23
8.8
128
|
Verified
8.5
22
7.3
94
|
Verified
7.3
20
7.8
101
|
Verified
8.0
23
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
7.5
173
|
Verified
7.2
21
8.2
119
7.4
21
6.8
171
|
Verified
7.3
22
7.7
102
7.4
21
7.0
144
|
Verified
7.5
22
Data Preparation
8.9
97
|
Verified
8.8
17
8.5
86
|
Verified
8.1
17
Data Modeling and Blending
9.0
99
|
Verified
8.4
16
9.2
101
|
Verified
8.5
16
9.3
96
|
Verified
8.8
16
Generative AI
Feature Not Available
7.5
6
Feature Not Available
7.5
6
Self Service
9.0
182
|
Verified
7.9
21
9.2
187
|
Verified
8.7
21
9.0
177
|
Verified
8.7
21
8.3
171
|
Verified
8.0
21
8.5
174
|
Verified
8.8
22
8.0
136
|
Verified
8.1
22
Advanced Analytics
8.2
151
|
Verified
8.9
21
7.2
165
|
Verified
7.6
22
8.2
151
|
Verified
8.5
22
Building Reports
9.1
138
|
Verified
8.7
23
8.8
128
|
Verified
8.5
22
7.3
94
|
Verified
7.3
20
7.8
101
|
Verified
8.0
23
Cartography
8.1
26
Not enough data
8.0
22
Not enough data
7.8
26
Not enough data
8.0
24
Not enough data
Analysis
8.8
24
Not enough data
9.5
25
Not enough data
9.4
26
Not enough data
9.1
25
Not enough data
Reporting
9.5
26
Not enough data
8.3
19
Not enough data
9.1
23
Not enough data
Data Source Access
8.9
146
Not enough data
8.8
159
Not enough data
8.1
126
Not enough data
Data Interaction
8.5
129
Not enough data
8.4
126
Not enough data
8.7
140
Not enough data
9.1
162
Not enough data
9.2
155
Not enough data
9.2
160
Not enough data
8.7
145
Not enough data
8.5
130
Not enough data
Data Exporting
8.9
144
Not enough data
8.8
147
Not enough data
9.2
159
Not enough data
Generative AI
Feature Not Available
Not enough data
Deployment
Not enough data
8.3
6
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
9.7
6
Deployment
Not enough data
8.0
5
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
9.4
6
Management
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
8.6
6
Not enough data
8.3
6
Operations
Not enough data
9.4
6
Not enough data
9.2
6
Not enough data
9.7
6
Management
Not enough data
7.5
6
Not enough data
9.7
6
Not enough data
8.1
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.2
49
8.6
30
8.1
39
8.2
29
9.4
47
8.8
32
Model Development
8.1
39
8.4
30
9.0
47
9.0
30
8.2
45
8.9
31
8.4
43
8.8
32
Model Development
9.0
43
8.9
31
8.5
44
8.6
33
8.5
47
8.7
33
Machine/Deep Learning Services
8.2
34
7.8
28
8.1
32
7.6
28
8.2
30
7.4
27
8.1
30
8.0
27
Machine/Deep Learning Services
8.1
33
7.9
28
8.0
32
7.7
26
8.1
31
7.6
26
8.0
29
8.3
29
Deployment
Feature Not Available
8.0
29
8.7
41
8.3
31
8.7
43
8.6
30
Deployment
Feature Not Available
8.5
29
8.8
39
8.4
30
8.7
42
8.6
30
Generative AI
Feature Not Available
7.7
20
Feature Not Available
7.6
20
Feature Not Available
7.3
20
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
9.0
10
Learning - Machine Learning
Not enough data
8.7
10
Not enough data
8.2
10
Not enough data
8.2
10
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Statistical Tool
8.5
58
8.5
13
8.7
59
8.8
14
8.4
59
8.3
13
Data Analysis
9.2
66
7.9
14
9.1
64
8.9
14
Decision Making
8.7
62
8.7
13
7.5
65
7.4
14
8.4
67
7.4
14
9.2
62
8.8
14
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Transformation
8.5
66
|
Verified
7.9
13
8.9
75
|
Verified
9.0
7
Connectivity
8.5
49
|
Verified
8.0
9
8.4
45
|
Verified
8.5
10
9.0
67
|
Verified
8.2
12
Feature Not Available
8.9
12
Operations
7.8
74
|
Verified
8.0
11
9.2
79
|
Verified
9.2
12
8.5
60
|
Verified
8.6
11
8.7
62
|
Verified
8.5
12
8.1
56
|
Verified
8.6
6
Building Reports
9.1
138
|
Verified
8.7
23
8.8
128
|
Verified
8.5
22
7.3
94
|
Verified
7.3
20
7.8
101
|
Verified
8.0
23
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
Alteryx and Dataiku are categorized as Big Data Analytics, Data Science and Machine Learning Platforms, Predictive Analytics, and Analytics Platforms
Unique Categories
Alteryx is categorized as Data Preparation and Location Intelligence
Dataiku is categorized as MLOps Platforms, Machine Learning, Generative AI Infrastructure, AWS Marketplace, and Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Alteryx
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
Financial Services
12.1%
Accounting
9.4%
Information Technology and Services
7.9%
Banking
5.1%
Insurance
4.8%
Other
60.7%
Information Technology and Services
12.1%
Consulting
8.6%
Pharmaceuticals
8.6%
Computer Software
8.6%
Retail
5.2%
Other
56.9%
Most Helpful Reviews
Alteryx
Most Helpful Favorable Review
Diane B.
Verified User in Market Research
The speed of data processing (spatial/data analysis, file conversion, etc.) is faster than any other software I have used before. I like that Alteryx incorporates multiple functions including those for data analysis, statistical analysis, spatial analysis,...
Most Helpful Critical Review
Richard H.
Verified User
The scheduler is a waste of money. It does not run on events, just on time. Alteryx kept our six grand when it didn't fit our needs. We want our money back for this useless upsell as a customer of 8+ years.
Dataiku
Most Helpful Favorable Review
Verified User in Manufacturing
Dataiku is user friendly and easy to learn. You can combine lots of data resources into one simple platform. I frequently use this in data analytics at my company.
Most Helpful Critical Review
Verified User in Computer Software
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started. Lastly, my team found that the performance can be sluggish with large datasets.
Diane B.
Verified User in Market Research
The speed of data processing (spatial/data analysis, file conversion, etc.) is faster than any other software I have used before. I like that Alteryx incorporates multiple functions including those for data analysis, statistical analysis, spatial analysis,...
Verified User in Manufacturing
Dataiku is user friendly and easy to learn. You can combine lots of data resources into one simple platform. I frequently use this in data analytics at my company.
Richard H.
Verified User
The scheduler is a waste of money. It does not run on events, just on time. Alteryx kept our six grand when it didn't fit our needs. We want our money back for this useless upsell as a customer of 8+ years.
Verified User in Computer Software
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started. Lastly, my team found that the performance can be sluggish with large datasets.
Alternatives
Discussions
What's the one thing that Alteryx brings to the play which other platforms lack?
3 comments
SM
A very vibrant and helpful community.Read more
Is there any free trail for Alteryx analytics gallery?
1 comment
SJ
Yes, every user gets 1 month's free trial. It is system specific though.Read more
Alteryx has no more 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
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 does Dataiku compare to competing products?
1 comment
Official Response from Dataiku
The best choice usually depends on your setup, needs, and use cases; that said, many of our customers switched to Dataiku because of the depth of our...Read more
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