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Compare Microsoft Power BI and datapine 
Featured Products
At a Glance
Market Segments
Enterprise (42.5% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
Free 1 User
No pricing available
Microsoft Power BI
Star Rating
(1,540)4.5 out of 5
Market Segments
Enterprise (42.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 User
Browse all 3 pricing plansdatapine
Star Rating
(26)4.6 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about datapineSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Microsoft Power BI excels in creating interactive dashboards from raw data, with users highlighting its seamless integration with the Microsoft ecosystem, which allows for real-time data refresh and easy sharing. In contrast, while datapine also offers intuitive dashboard creation, it is noted for its predictive analytics feature that some users find particularly valuable.
- Users say that datapine stands out for its ease of use, with many reviewers appreciating how quickly team members can create dashboards and utilize templates for reporting. Microsoft Power BI, while user-friendly, has received slightly lower ratings in this area, indicating that some users may face a steeper learning curve.
- Reviewers mention that datapine provides robust data querying capabilities, allowing users to run advanced SQL queries and visualize results easily. This feature is particularly beneficial for teams dealing with complex data sets. On the other hand, Microsoft Power BI offers a wide range of data connectors, but some users feel it could improve in terms of flexibility for custom queries.
- According to verified reviews, Microsoft Power BI's row-level security feature is a significant advantage, enabling users to control data visibility based on user roles. This is a critical feature for organizations that require strict data governance. Datapine, while strong in data governance overall, does not have a comparable feature that is as widely recognized.
- Users highlight that both platforms have strong support for data transformation and blending, but datapine receives higher praise for its intuitive design and ease of setup. Reviewers appreciate how quickly they can get started with datapine, while some Microsoft Power BI users report challenges during the initial setup phase.
- G2 reviewers indicate that while Microsoft Power BI has a larger market presence and a higher overall satisfaction score, datapine's focused features and user-friendly interface make it a strong contender for mid-market businesses looking for a straightforward analytics solution. Users of both platforms appreciate their unique strengths, but the choice may depend on specific organizational needs and existing software ecosystems.
Pricing
Entry-Level Pricing
Microsoft Power BI
Power BI in Microsoft Fabric
Free
1 User
Power BI in Microsoft Fabric
- Sign Up for A Fabric Account
datapine
No pricing availableFree Trial
Microsoft Power BI
Free Trial is available
datapine
Free Trial is available
Ratings
Meets Requirements
8.9
1,235
9.5
25
Ease of Use
8.5
1,259
9.5
25
Ease of Setup
8.8
694
9.2
17
Ease of Admin
8.5
407
9.3
17
Quality of Support
8.5
1,091
9.2
25
Has the product been a good partner in doing business?
8.8
388
8.8
17
Product Direction (% positive)
9.3
1,208
9.0
24
Features by Category
Reports
8.9
1044
|
Verified
Not enough data
8.4
965
|
Verified
Not enough data
9.1
1042
|
Verified
Not enough data
8.8
680
Not enough data
9.1
1033
|
Verified
Not enough data
Self Service
8.6
889
Not enough data
8.9
889
Not enough data
8.7
971
|
Verified
Not enough data
8.5
852
Not enough data
8.4
954
|
Verified
Not enough data
8.2
877
|
Verified
Not enough data
Advanced Analytics
8.3
736
|
Verified
Not enough data
9.2
1035
|
Verified
Not enough data
8.4
747
|
Verified
Not enough data
Building Reports
8.8
584
|
Verified
9.8
14
|
Verified
8.8
579
|
Verified
Feature Not Available
8.5
508
|
Verified
9.9
14
|
Verified
8.5
503
|
Verified
9.9
14
|
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
8.9
1044
|
Verified
Not enough data
8.4
965
|
Verified
Not enough data
9.1
1042
|
Verified
Not enough data
8.8
680
Not enough data
9.1
1033
|
Verified
Not enough data
Reports
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
Visualization
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 Updates
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Updates
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reports
8.9
1044
|
Verified
Not enough data
8.4
965
|
Verified
Not enough data
9.1
1042
|
Verified
Not enough data
8.8
680
Not enough data
9.1
1033
|
Verified
Not enough data
Data Preparation
8.9
654
|
Verified
9.9
15
|
Verified
8.8
624
|
Verified
9.6
14
|
Verified
Data Modeling and Blending
8.9
652
|
Verified
9.9
15
|
Verified
9.1
664
|
Verified
9.7
15
|
Verified
8.8
664
|
Verified
9.8
15
|
Verified
Generative AI
7.6
302
Not enough data
7.7
301
Not enough data
Agentic AI - Analytics Platforms
7.6
147
Not enough data
8.0
149
Not enough data
8.4
148
Not enough data
8.2
149
Not enough data
7.9
148
Not enough data
8.1
147
Not enough data
8.4
153
Not enough data
Self Service
8.6
889
Not enough data
8.9
889
Not enough data
8.7
971
|
Verified
Not enough data
8.5
852
Not enough data
8.4
954
|
Verified
Not enough data
8.2
877
|
Verified
Not enough data
Deployment & Integration - Analytics Platforms
8.8
123
Not enough data
8.7
125
Not enough data
8.4
116
Not enough data
9.1
140
Not enough data
Advanced Analytics
8.3
736
|
Verified
Not enough data
9.2
1035
|
Verified
Not enough data
8.4
747
|
Verified
Not enough data
Performance & Scalability - Analytics Platforms
8.0
140
Not enough data
8.6
115
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.8
116
Not enough data
8.6
114
Not enough data
8.3
111
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.1
109
Not enough data
8.1
110
Not enough data
8.3
108
Not enough data
7.8
108
Not enough data
Personalized Intelligence - Analytics Platforms
8.0
111
Not enough data
8.2
113
Not enough data
8.1
110
Not enough data
Building Reports
8.8
584
|
Verified
9.8
14
|
Verified
8.8
579
|
Verified
Feature Not Available
8.5
508
|
Verified
9.9
14
|
Verified
8.5
503
|
Verified
9.9
14
|
Verified
Reports
8.9
1044
|
Verified
Not enough data
8.4
965
|
Verified
Not enough data
9.1
1042
|
Verified
Not enough data
8.8
680
Not enough data
9.1
1033
|
Verified
Not enough data
Self Service
8.6
889
Not enough data
8.9
889
Not enough data
8.7
971
|
Verified
Not enough data
8.5
852
Not enough data
8.4
954
|
Verified
Not enough data
8.2
877
|
Verified
Not enough data
Building Reports
8.8
584
|
Verified
9.8
14
|
Verified
8.8
579
|
Verified
Feature Not Available
8.5
508
|
Verified
9.9
14
|
Verified
8.5
503
|
Verified
9.9
14
|
Verified
SQL Integrated Development Environments (IDE)Hide 6 FeaturesShow 6 Features
Not enough data
Not enough data
Integration - SQL Integrated Development Environments (IDE)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - SQL Integrated Development Environments (IDE)
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
Categories
Categories
Shared Categories
Microsoft Power BI and datapine are categorized as Analytics Platforms
Unique Categories
Microsoft Power BI is categorized as Semantic Layer Tools
datapine is categorized as Embedded Business Intelligence, SQL Integrated Development Environments (IDE), and Data Visualization
Reviews
Reviewers' Company Size
Microsoft Power BI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
datapine
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
Information Technology and Services
16.2%
Computer Software
6.8%
Financial Services
4.8%
Hospital & Health Care
3.1%
Telecommunications
3.0%
Other
66.0%
Marketing and Advertising
11.5%
Consumer Electronics
11.5%
Hospitality
7.7%
Consumer Goods
7.7%
Computer Software
7.7%
Other
53.8%
Discussions
What is Microsoft Power BI Desktop used for?
4 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
Is Power BI a Microsoft tool?
3 Comments
TB
Yes, Power BI is a business analytics tool developed by Microsoft. Read more
datapine has no discussions with answers
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