Compare Dataiku and Sigma 
At a Glance
Market Segments
Enterprise (61.7% of reviews)
Mid-Market (59.1% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansSigma
Star Rating
(557)4.4 out of 5
Market Segments
Mid-Market (59.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about SigmaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in providing a comprehensive data workflow, allowing teams to prepare data, build machine learning models, and deploy them seamlessly. Users appreciate the user-friendly interface and strong collaboration features that facilitate teamwork among data scientists, analysts, and engineers.
- Users say Sigma stands out for its ability to deliver instant access to critical information, making it easy to validate processes and account details. The personalized worksheets and impressive data presentation are frequently highlighted, enhancing the overall user experience.
- According to verified reviews, Dataiku's strength lies in its end-to-end automation capabilities, which streamline the building, training, and deployment of AI models. This feature is particularly beneficial for teams working on generative AI projects, as it simplifies complex workflows.
- Reviewers mention that Sigma's dashboards allow users to analyze data directly, transforming large datasets into actionable insights. This capability is praised for its powerful data modeling and ease of use, making it an exceptional tool for data analysis.
- G2 reviewers highlight that while Dataiku has a slightly higher score in ease of use, Sigma offers a more straightforward setup process. Users appreciate Sigma's quick implementation and the ability to integrate seamlessly with platforms like Snowflake, which enhances its functionality.
- Users report that Dataiku's quality of support is commendable, with many noting the helpfulness of the support team. In contrast, Sigma receives higher marks for its overall product direction and continuous feature updates, which keep the platform relevant and user-friendly.
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
Sigma
No pricing availableFree Trial
Dataiku
Free Trial is available
Sigma
Free Trial is available
Ratings
Meets Requirements
8.7
171
8.6
441
Ease of Use
8.8
170
8.5
450
Ease of Setup
8.1
132
8.9
268
Ease of Admin
8.0
61
8.5
156
Quality of Support
8.6
156
9.1
394
Has the product been a good partner in doing business?
8.6
61
9.1
156
Product Direction (% positive)
9.0
167
9.3
428
Features by Category
Reports
7.8
76
8.6
293
|
Verified
7.7
75
8.4
282
|
Verified
7.5
76
8.4
301
|
Verified
7.5
74
8.4
266
|
Verified
7.6
76
8.8
293
|
Verified
Self Service
8.2
75
8.7
288
|
Verified
8.6
74
8.8
294
|
Verified
8.4
74
8.6
282
|
Verified
7.9
74
8.3
282
|
Verified
8.7
74
8.4
287
|
Verified
8.1
74
7.4
252
|
Verified
Advanced Analytics
8.4
74
7.3
248
7.8
75
8.5
293
|
Verified
8.0
74
8.3
268
|
Verified
Building Reports
8.5
91
8.1
111
|
Verified
8.6
88
7.8
111
|
Verified
7.7
85
8.2
99
|
Verified
8.1
89
7.7
94
|
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
8.6
293
|
Verified
7.7
75
8.4
282
|
Verified
7.5
76
8.4
301
|
Verified
7.5
74
8.4
266
|
Verified
7.6
76
8.8
293
|
Verified
Data Preparation
8.7
65
8.3
274
|
Verified
8.2
63
8.3
259
|
Verified
Data Modeling and Blending
8.6
62
8.5
291
|
Verified
8.6
62
8.6
294
|
Verified
8.7
62
8.4
276
|
Verified
Generative AI
7.9
50
Feature Not Available
8.0
50
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
7.6
31
Not enough data
7.7
31
Not enough data
7.8
30
Not enough data
7.5
31
Not enough data
8.0
32
Not enough data
7.2
31
Not enough data
7.6
31
Self Service
8.2
75
8.7
288
|
Verified
8.6
74
8.8
294
|
Verified
8.4
74
8.6
282
|
Verified
7.9
74
8.3
282
|
Verified
8.7
74
8.4
287
|
Verified
8.1
74
7.4
252
|
Verified
Deployment & Integration - Analytics Platforms
Not enough data
7.9
30
Not enough data
8.2
31
Not enough data
8.1
30
Not enough data
9.0
35
Advanced Analytics
8.4
74
7.3
248
7.8
75
8.5
293
|
Verified
8.0
74
8.3
268
|
Verified
Performance & Scalability - Analytics Platforms
Not enough data
8.0
37
Not enough data
8.6
29
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.2
28
Not enough data
8.0
29
Not enough data
8.3
29
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.7
28
Not enough data
7.8
29
Not enough data
7.8
28
Not enough data
7.8
26
Personalized Intelligence - Analytics Platforms
Not enough data
7.1
29
Not enough data
7.7
28
Not enough data
8.1
28
Building Reports
8.5
91
8.1
111
|
Verified
8.6
88
7.8
111
|
Verified
7.7
85
8.2
99
|
Verified
8.1
89
7.7
94
|
Verified
Reports
7.8
76
8.6
293
|
Verified
7.7
75
8.4
282
|
Verified
7.5
76
8.4
301
|
Verified
7.5
74
8.4
266
|
Verified
7.6
76
8.8
293
|
Verified
Self Service
8.2
75
8.7
288
|
Verified
8.6
74
8.8
294
|
Verified
8.4
74
8.6
282
|
Verified
7.9
74
8.3
282
|
Verified
8.7
74
8.4
287
|
Verified
8.1
74
7.4
252
|
Verified
Building Reports
8.5
91
8.1
111
|
Verified
8.6
88
7.8
111
|
Verified
7.7
85
8.2
99
|
Verified
8.1
89
7.7
94
|
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
8.1
18
Not enough data
7.6
19
Not enough data
7.5
16
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.0
17
Not enough data
7.3
10
Not enough data
8.1
9
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
17
Not enough data
7.7
18
Not enough data
7.5
17
Not enough data
Security and Compliance - Generative AI Infrastructure
7.3
16
Not enough data
7.4
16
Not enough data
7.7
16
Not enough data
Usability and Support - Generative AI Infrastructure
7.3
17
Not enough data
7.1
16
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
8.1
111
|
Verified
8.6
88
7.8
111
|
Verified
7.7
85
8.2
99
|
Verified
8.1
89
7.7
94
|
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 Sigma 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
Sigma 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.)
Sigma
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
14.9%
Pharmaceuticals
7.4%
Retail
5.7%
Manufacturing
5.1%
Consulting
5.1%
Other
61.7%
Information Technology and Services
15.6%
Computer Software
11.4%
Financial Services
9.5%
Marketing and Advertising
4.8%
Consumer Services
4.6%
Other
54.2%
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
What is the best way to use SQL queries that you previously had?
1 Comment
SH
One possible way to solve this would be to create Datasets with SQL - you can merely copy the SQL to form the new dataset.
Once you have created the...Read more
What is Sigma used for?
1 Comment
RS
Sigma is a cloud-based business intelligence (BI) and analytics platform. It's primarily used for data exploration, visualization, and building applications,...Read more
Sigma has no more discussions with answers
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