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Compare Microsoft Power BI and datapine 
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At a Glance
Market Segments
Enterprise (42.6% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
Free 1 User
No pricing available
Microsoft Power BI
Star Rating
(1,488)4.5 out of 5
Market Segments
Enterprise (42.6% 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 overall user satisfaction, boasting a significantly higher G2 Score compared to datapine. This indicates a broader acceptance and positive experience among users, particularly in enterprise environments.
- Users say that the intuitive interface of datapine allows team members to quickly create dashboards and reports, making it a valuable tool for those who need to visualize complex data without extensive training. This ease of use is highlighted by the availability of templates that simplify report generation.
- According to verified reviews, Microsoft Power BI is praised for its robust data modeling capabilities and the inclusion of AI features, which enhance the user experience. Reviewers appreciate the variety of DAX functions and visualization options, making it easier to generate insights from diverse data sources.
- Reviewers mention that while datapine offers strong features for data querying and transformation, Microsoft Power BI's learning curve is perceived as shorter, allowing users to become proficient more quickly. This can be a crucial factor for teams looking to implement a new analytics tool efficiently.
- Users highlight that both products provide solid support for data governance, but datapine stands out with its high scores in data filtering and blending. This makes it particularly appealing for users who need to manage and manipulate large datasets effectively.
- G2 reviewers note that while Microsoft Power BI has a larger market presence and a wealth of user feedback, datapine's focus on mid-market solutions allows it to cater specifically to the needs of smaller teams, offering a more tailored experience for those users.
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
1,189
9.5
25
Ease of Use
8.5
1,213
9.5
25
Ease of Setup
8.8
649
9.2
17
Ease of Admin
8.5
394
9.3
17
Quality of Support
8.5
1,049
9.2
25
Has the product been a good partner in doing business?
8.8
374
8.8
17
Product Direction (% positive)
9.3
1,161
9.0
24
Features by Category
Reports
8.9
1024
|
Verified
Not enough data
8.4
959
|
Verified
Not enough data
9.1
1025
|
Verified
Not enough data
8.8
675
Not enough data
9.1
1011
|
Verified
Not enough data
Self Service
8.6
879
Not enough data
8.9
885
Not enough data
8.7
964
|
Verified
Not enough data
8.5
850
Not enough data
8.4
941
|
Verified
Not enough data
8.2
875
|
Verified
Not enough data
Advanced Analytics
8.3
734
|
Verified
Not enough data
9.2
1013
|
Verified
Not enough data
8.5
736
|
Verified
Not enough data
Building Reports
8.8
581
|
Verified
9.8
14
|
Verified
8.8
573
|
Verified
Feature Not Available
8.5
506
|
Verified
9.9
14
|
Verified
8.5
502
|
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
1024
|
Verified
Not enough data
8.4
959
|
Verified
Not enough data
9.1
1025
|
Verified
Not enough data
8.8
675
Not enough data
9.1
1011
|
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
1024
|
Verified
Not enough data
8.4
959
|
Verified
Not enough data
9.1
1025
|
Verified
Not enough data
8.8
675
Not enough data
9.1
1011
|
Verified
Not enough data
Data Preparation
8.9
637
|
Verified
9.9
15
|
Verified
8.8
624
|
Verified
9.6
14
|
Verified
Data Modeling and Blending
8.9
650
|
Verified
9.9
15
|
Verified
9.1
663
|
Verified
9.7
15
|
Verified
8.8
649
|
Verified
9.8
15
|
Verified
Generative AI
7.7
304
Not enough data
7.7
302
Not enough data
Agentic AI - Analytics Platforms
7.7
148
Not enough data
8.1
149
Not enough data
8.4
148
Not enough data
8.2
149
Not enough data
7.9
148
Not enough data
8.2
147
Not enough data
8.4
152
Not enough data
Self Service
8.6
879
Not enough data
8.9
885
Not enough data
8.7
964
|
Verified
Not enough data
8.5
850
Not enough data
8.4
941
|
Verified
Not enough data
8.2
875
|
Verified
Not enough data
Deployment & Integration - Analytics Platforms
8.7
116
Not enough data
8.8
119
Not enough data
8.4
115
Not enough data
9.1
120
Not enough data
Advanced Analytics
8.3
734
|
Verified
Not enough data
9.2
1013
|
Verified
Not enough data
8.5
736
|
Verified
Not enough data
Performance & Scalability - Analytics Platforms
8.4
120
Not enough data
8.7
114
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.8
114
Not enough data
8.7
113
Not enough data
8.4
111
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.1
109
Not enough data
8.2
110
Not enough data
8.4
108
Not enough data
7.9
108
Not enough data
Personalized Intelligence - Analytics Platforms
8.0
109
Not enough data
8.2
111
Not enough data
8.1
108
Not enough data
Building Reports
8.8
581
|
Verified
9.8
14
|
Verified
8.8
573
|
Verified
Feature Not Available
8.5
506
|
Verified
9.9
14
|
Verified
8.5
502
|
Verified
9.9
14
|
Verified
Reports
8.9
1024
|
Verified
Not enough data
8.4
959
|
Verified
Not enough data
9.1
1025
|
Verified
Not enough data
8.8
675
Not enough data
9.1
1011
|
Verified
Not enough data
Self Service
8.6
879
Not enough data
8.9
885
Not enough data
8.7
964
|
Verified
Not enough data
8.5
850
Not enough data
8.4
941
|
Verified
Not enough data
8.2
875
|
Verified
Not enough data
Building Reports
8.8
581
|
Verified
9.8
14
|
Verified
8.8
573
|
Verified
Feature Not Available
8.5
506
|
Verified
9.9
14
|
Verified
8.5
502
|
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
16.4%
Computer Software
6.6%
Financial Services
4.9%
Hospital & Health Care
3.2%
Telecommunications
3.0%
Other
65.9%
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?
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
Support Multiple Data Types
2 Comments
LS
I'd recommend putting requests like that on ideas.powerbi.com.Read more
datapine has no discussions with answers
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