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Compare Dataiku and Microsoft Fabric 
At a Glance
Market Segments
Enterprise (64.4% of reviews)
Enterprise (56.3% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(175)4.4 out of 5
Market Segments
Enterprise (64.4% of reviews)
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansMicrosoft Fabric
Star Rating
(16)4.6 out of 5
Market Segments
Enterprise (56.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Microsoft FabricSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in Data Mining with a score of 9.7, highlighting its robust capabilities in extracting insights from large datasets. In contrast, Microsoft Fabric, while strong, has a slightly lower score in this area, indicating that Dataiku may offer a more comprehensive suite of tools for data mining tasks.
- Reviewers mention that Microsoft Fabric shines in Model Development, particularly with its pre-built algorithms scoring 8.9, which allows users to quickly implement machine learning models. Dataiku also performs well in this area, but users feel that Microsoft Fabric's offerings are more user-friendly for rapid deployment.
- G2 users highlight that Dataiku's Data Preparation features, including its drag-and-drop interface scoring 9.0, make it easier for non-technical users to manipulate data. Conversely, Microsoft Fabric's interface, while functional, does not receive the same level of praise for ease of use.
- Users on G2 report that Microsoft Fabric's Scalability is a standout feature, with a score of 9.1, making it suitable for enterprises looking to grow their data operations. Dataiku also scores well in scalability at 9.0, but users feel Microsoft Fabric has a slight edge in handling larger datasets efficiently.
- Reviewers say that Dataiku's Quality of Support is rated at 8.5, with many users appreciating the responsiveness and helpfulness of the support team. In comparison, Microsoft Fabric scores higher at 9.0, indicating a more favorable experience for users seeking assistance.
- Users report that both platforms offer strong Integration capabilities, but Microsoft Fabric's integration with Hadoop and Spark is particularly noted for its seamlessness, scoring 9.0. Dataiku also supports these integrations but does not receive the same level of acclaim for ease of use in this context.
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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
Microsoft Fabric
No pricing availableFree Trial
Dataiku
Free Trial is available
Microsoft Fabric
No trial information availableRatings
Meets Requirements
8.8
159
9.3
16
Ease of Use
8.8
158
9.0
16
Ease of Setup
8.1
121
9.0
5
Ease of Admin
8.0
59
Not enough data
Quality of Support
8.6
144
9.1
16
Has the product been a good partner in doing business?
8.6
59
Not enough data
Product Direction (% positive)
9.0
155
10.0
16
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
90
Not enough data
8.6
87
Not enough data
7.8
84
Not enough data
8.1
88
Not enough data
Deployment
8.1
15
8.9
14
8.7
15
8.7
14
8.6
15
8.7
14
8.9
15
8.8
14
9.0
15
9.0
14
Deployment
7.8
12
8.9
14
8.5
13
9.2
14
8.5
13
9.0
14
8.8
13
9.0
14
8.8
13
9.2
14
Management
7.6
13
8.6
13
8.5
13
8.7
14
8.3
13
8.8
13
7.8
13
8.8
13
Operations
8.5
13
8.8
14
8.3
13
8.8
14
8.8
13
8.9
14
Management
7.5
12
8.6
14
8.5
13
8.6
13
7.9
13
8.5
13
Generative AI
8.3
6
8.3
12
8.3
6
8.5
12
System
8.6
73
Not enough data
8.3
72
Not enough data
8.5
76
Not enough data
Model Development
8.4
76
Not enough data
8.8
75
Not enough data
8.6
76
Not enough data
8.5
75
Not enough data
Model Development
8.6
73
Not enough data
8.3
75
Not enough data
8.5
75
Not enough data
Machine/Deep Learning Services
8.0
72
Not enough data
8.1
72
Not enough data
7.9
71
Not enough data
8.0
70
Not enough data
Machine/Deep Learning Services
7.7
69
Not enough data
7.8
66
Not enough data
7.8
65
Not enough data
8.0
67
Not enough data
Deployment
8.2
72
Not enough data
8.3
75
Not enough data
8.3
74
Not enough data
Deployment
8.2
67
Not enough data
8.3
68
Not enough data
8.3
68
Not enough data
Generative AI
8.1
58
Not enough data
8.0
58
Not enough data
7.7
57
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
8.3
9
Not enough data
8.1
9
Not enough data
7.6
7
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.1
8
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
8
Not enough data
7.4
7
Not enough data
7.6
7
Not enough data
Security and Compliance - Generative AI Infrastructure
7.9
7
Not enough data
7.4
7
Not enough data
7.6
7
Not enough data
Usability and Support - Generative AI Infrastructure
6.9
8
Not enough data
6.4
7
Not enough data
Integration - Machine Learning
8.7
25
Not enough data
Learning - Machine Learning
8.3
26
Not enough data
7.9
27
Not enough data
8.0
27
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.5
10
Not enough data
8.0
10
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.3
10
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
10
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.7
10
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
8.2
10
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
10
Not enough data
7.8
10
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
7.0
10
Not enough data
6.7
10
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
10
Not enough data
7.3
10
Not enough data
Security - Large Language Model Operationalization (LLMOps)
7.7
10
Not enough data
7.7
10
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.0
10
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
Statistical Tool
8.2
34
Not enough data
8.6
34
Not enough data
8.0
34
Not enough data
Data Analysis
8.5
36
Not enough data
8.8
36
Not enough data
Decision Making
8.6
34
Not enough data
7.9
35
Not enough data
7.7
34
Not enough data
8.6
35
Not enough data
Generative AI
8.6
19
Not enough data
8.2
19
Not enough data
Data Transformation
8.5
43
Not enough data
9.2
38
Not enough data
Connectivity
8.3
37
Not enough data
8.3
39
Not enough data
8.8
40
Not enough data
9.0
43
Not enough data
Operations
8.1
41
Not enough data
9.2
40
Not enough data
8.7
39
Not enough data
8.7
39
Not enough data
8.9
34
Not enough data
Building Reports
8.5
90
Not enough data
8.6
87
Not enough data
7.8
84
Not enough data
8.1
88
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 Microsoft Fabric are categorized as MLOps Platforms
Unique Categories
Microsoft Fabric has no unique categories
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Fabric
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
15.3%
Pharmaceuticals
8.0%
Retail
6.1%
Manufacturing
5.5%
Insurance
5.5%
Other
59.5%
Education Management
18.8%
Manufacturing
12.5%
Information Technology and Services
12.5%
Electrical/Electronic Manufacturing
12.5%
Consulting
6.3%
Other
37.5%
Most Helpful Reviews
Dataiku
Most Helpful Favorable Review
Verified User in Consulting
Easy to switch between clicking and coding, plus support for SQL, Python, and R. The customer support is outstanding - they really know the product and are very responsive.
Most Helpful Critical Review
Jason F.
Verified User in Pharmaceuticals
As much as I appreciate how approachable and feature-rich Dataiku is, there are moments where its flexibility feels like a double-edged sword. Some use cases become surprisingly complex due to very recipe logic, and handling parameterized or reusable...
Microsoft Fabric
Most Helpful Favorable Review
Verified User in Health, Wellness and Fitness
Azure Fabric merges data engineering and analytics in one platform, such as Azure Synapse, Power BI, SQL Server. OneLake centralizes data management, real time analytics and AI powered insights where workflow and collaboration are improved and data...
Most Helpful Critical Review
Muhammed M.
Verified User in Information Technology and Services
It is sometimes difficult to use with non microsoft technologies. It is complex to understand for the new users. Cloud have access issues sometimes.
Verified User in Consulting
Easy to switch between clicking and coding, plus support for SQL, Python, and R. The customer support is outstanding - they really know the product and are very responsive.
Verified User in Health, Wellness and Fitness
Azure Fabric merges data engineering and analytics in one platform, such as Azure Synapse, Power BI, SQL Server. OneLake centralizes data management, real time analytics and AI powered insights where workflow and collaboration are improved and data...
Jason F.
Verified User in Pharmaceuticals
As much as I appreciate how approachable and feature-rich Dataiku is, there are moments where its flexibility feels like a double-edged sword. Some use cases become surprisingly complex due to very recipe logic, and handling parameterized or reusable...
Muhammed M.
Verified User in Information Technology and Services
It is sometimes difficult to use with non microsoft technologies. It is complex to understand for the new users. Cloud have access issues sometimes.
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
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
Microsoft Fabric has no discussions with answers
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