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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Enterprise (42.5% of reviews)
Entry-Level Pricing
Free 3 Users
Free 1 User
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 plansMicrosoft Power BI
Star Rating
(1,465)4.5 out of 5
Market Segments
Enterprise (42.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 User
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in ease of use with a score of 8.8, making it a preferred choice for teams looking for a user-friendly interface. In contrast, Microsoft Power BI, while still strong at 8.4, is noted for having a steeper learning curve, especially for new users.
- Reviewers mention that Microsoft Power BI shines in data visualization capabilities, scoring 9.2 compared to Dataiku's 7.8. Users appreciate Power BI's extensive library of visualizations and the ability to create interactive dashboards, which enhances data storytelling.
- G2 users highlight Dataiku's strong support for data governance with a score of 8.2, which is crucial for enterprises managing sensitive data. Microsoft Power BI, while also good at 8.8, is noted for its robust compliance features, making it a solid choice for organizations focused on regulatory requirements.
- Reviewers say that Dataiku's predictive analytics features, scoring 8.4, are particularly beneficial for data science teams looking to implement machine learning models. Microsoft Power BI, with a score of 8.3, offers predictive capabilities but is often seen as less comprehensive in this area.
- Users on G2 report that Dataiku's collaboration and workflow features, scoring 8.7, facilitate teamwork effectively, allowing multiple users to work on projects simultaneously. Microsoft Power BI, at 8.4, provides collaboration tools but is sometimes viewed as less intuitive for team-based projects.
- Reviewers mention that Dataiku's connectors score of 8.7 is impressive, allowing seamless integration with various data sources. Microsoft Power BI, with a slightly higher score of 8.9, is praised for its extensive range of built-in connectors, making it easier to pull in data from diverse platforms.
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 Power BI
Power BI in Microsoft Fabric
Free
1 User
Power BI in Microsoft Fabric
- Sign Up for A Fabric Account
Free Trial
Dataiku
Free Trial is available
Microsoft Power BI
Free Trial is available
Ratings
Meets Requirements
8.7
167
8.9
1,174
Ease of Use
8.7
166
8.5
1,198
Ease of Setup
8.1
128
8.8
636
Ease of Admin
8.0
60
8.5
391
Quality of Support
8.5
152
8.5
1,037
Has the product been a good partner in doing business?
8.6
60
8.8
371
Product Direction (% positive)
9.0
163
9.2
1,146
Features by Category
Reports
7.8
76
8.9
1017
|
Verified
7.7
75
8.4
957
|
Verified
7.5
76
9.1
1019
|
Verified
7.5
74
8.8
673
7.6
76
9.1
1004
|
Verified
Self Service
8.2
75
8.6
875
8.6
74
8.9
882
8.4
74
8.7
962
|
Verified
7.9
74
8.5
849
8.7
74
8.4
938
|
Verified
8.1
74
8.2
873
|
Verified
Advanced Analytics
8.4
74
8.3
732
|
Verified
7.8
75
9.2
1004
|
Verified
8.0
74
8.5
733
|
Verified
Building Reports
8.5
91
8.8
581
|
Verified
8.6
88
8.8
571
|
Verified
7.7
85
8.5
506
|
Verified
8.1
89
8.5
502
|
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
8.9
1017
|
Verified
7.7
75
8.4
957
|
Verified
7.5
76
9.1
1019
|
Verified
7.5
74
8.8
673
7.6
76
9.1
1004
|
Verified
Data Preparation
8.7
65
8.9
634
|
Verified
8.2
63
8.8
623
|
Verified
Data Modeling and Blending
8.6
62
8.9
648
|
Verified
8.6
62
9.1
662
|
Verified
8.7
62
8.8
644
|
Verified
Generative AI
7.9
50
7.7
301
8.0
50
7.7
299
Agentic AI - Analytics Platforms
Not enough data
7.7
146
Not enough data
8.1
147
Not enough data
8.4
146
Not enough data
8.2
147
Not enough data
7.9
146
Not enough data
8.2
145
Not enough data
8.4
149
Self Service
8.2
75
8.6
875
8.6
74
8.9
882
8.4
74
8.7
962
|
Verified
7.9
74
8.5
849
8.7
74
8.4
938
|
Verified
8.1
74
8.2
873
|
Verified
Deployment & Integration - Analytics Platforms
Not enough data
8.7
114
Not enough data
8.8
114
Not enough data
8.4
113
Not enough data
9.1
115
Advanced Analytics
8.4
74
8.3
732
|
Verified
7.8
75
9.2
1004
|
Verified
8.0
74
8.5
733
|
Verified
Performance & Scalability - Analytics Platforms
Not enough data
8.6
114
Not enough data
8.7
112
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.8
112
Not enough data
8.7
111
Not enough data
8.4
109
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.1
107
Not enough data
8.1
108
Not enough data
8.4
106
Not enough data
7.8
106
Personalized Intelligence - Analytics Platforms
Not enough data
8.0
107
Not enough data
8.2
108
Not enough data
8.1
106
Building Reports
8.5
91
8.8
581
|
Verified
8.6
88
8.8
571
|
Verified
7.7
85
8.5
506
|
Verified
8.1
89
8.5
502
|
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
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
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
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
Building Reports
8.5
91
8.8
581
|
Verified
8.6
88
8.8
571
|
Verified
7.7
85
8.5
506
|
Verified
8.1
89
8.5
502
|
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 Microsoft Power BI are categorized as Analytics Platforms
Unique Categories
Dataiku is categorized as Large Language Model Operationalization (LLMOps), Low-Code Machine Learning Platforms, Big Data Analytics, Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, Predictive Analytics, and AI Orchestration
Microsoft Power BI is categorized as Semantic Layer Tools
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Power BI
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
16.2%
Computer Software
6.6%
Financial Services
4.9%
Hospital & Health Care
3.2%
Telecommunications
3.0%
Other
66.0%
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 Microsoft Power BI Desktop used for?
3 Comments
DM
PowerBI desktop is the desktop version of PowerBI unlike the web version which you open in a web browser like Google Chrome or EDGE. The desktop version has...Read more
What are some of the top features of Microsoft BI?
3 Comments
PR
Data Visualization: Microsoft Power BI excels in creating interactive and visually compelling data dashboards and reports, making ramified data easy to...Read more
How I can have the free version of this application?
2 Comments
DZ
Here: https://powerbi.microsoft.com/en-us/downloads/Read more
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