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Compare Apache Superset and Microsoft Power BI 
Featured Products
At a Glance
Market Segments
Mid-Market (48.9% of reviews)
Enterprise (42.5% of reviews)
Entry-Level Pricing
No pricing available
Free 1 User
Apache Superset
Star Rating
(50)4.4 out of 5
Market Segments
Mid-Market (48.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache SupersetMicrosoft Power BI
Star Rating
(1,538)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.
- G2 reviewers report that Microsoft Power BI excels in creating interactive dashboards, with users highlighting its ability to quickly transform raw data into visually appealing formats. The seamless integration with other Microsoft tools, such as Excel, enhances its usability for teams looking to streamline their data analysis processes.
- Users say that Apache Superset offers a user-friendly experience, making it easy to access and visualize data. Reviewers appreciate its automation features, such as the ability to send reports and dashboards directly to platforms like Gmail and Slack, which simplifies sharing insights across teams.
- Reviewers mention that Microsoft Power BI's robust security features, like row-level security, allow for precise control over data visibility based on user roles. This capability is particularly beneficial for organizations that need to manage sensitive information across different regions or departments.
- According to verified reviews, Apache Superset stands out for its flexibility in data querying, enabling users to create dynamic datasets through custom queries. This feature is praised for empowering users to tailor their data exploration to specific needs, enhancing the overall analytical experience.
- G2 reviewers highlight that Microsoft Power BI's strong support and community resources contribute to a smoother implementation process. Users frequently mention the intuitive onboarding experience, which helps teams get up and running quickly with minimal friction.
- Users report that while Apache Superset is powerful, it may not match the extensive support and resources available for Microsoft Power BI. Some reviewers express a desire for more comprehensive documentation and community support to fully leverage its capabilities.
Pricing
Entry-Level Pricing
Apache Superset
No pricing availableMicrosoft Power BI
Power BI in Microsoft Fabric
Free
1 User
Power BI in Microsoft Fabric
- Sign Up for A Fabric Account
Free Trial
Apache Superset
No trial information availableMicrosoft Power BI
Free Trial is available
Ratings
Meets Requirements
8.8
33
8.9
1,234
Ease of Use
8.9
33
8.5
1,258
Ease of Setup
8.4
19
8.8
693
Ease of Admin
8.4
16
8.5
407
Quality of Support
7.8
29
8.5
1,090
Has the product been a good partner in doing business?
9.0
15
8.8
387
Product Direction (% positive)
9.6
31
9.3
1,207
Features by Category
Reports
8.8
26
8.9
1044
|
Verified
8.4
21
8.4
965
|
Verified
9.1
25
9.1
1042
|
Verified
8.8
22
8.8
680
9.3
26
9.1
1033
|
Verified
Self Service
9.0
24
8.6
889
9.0
24
8.9
889
9.0
23
8.7
971
|
Verified
8.9
24
8.5
852
8.6
25
8.4
954
|
Verified
8.0
23
8.2
877
|
Verified
Advanced Analytics
8.3
21
8.3
736
|
Verified
8.8
28
9.2
1034
|
Verified
8.6
24
8.4
746
|
Verified
Building Reports
8.7
22
8.8
584
|
Verified
8.9
19
8.8
579
|
Verified
8.9
19
8.5
508
|
Verified
8.2
19
8.5
503
|
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
8.8
26
8.9
1044
|
Verified
8.4
21
8.4
965
|
Verified
9.1
25
9.1
1042
|
Verified
8.8
22
8.8
680
9.3
26
9.1
1033
|
Verified
Data Preparation
9.0
20
8.9
654
|
Verified
8.5
19
8.8
624
|
Verified
Data Modeling and Blending
8.5
24
8.9
652
|
Verified
8.8
24
9.1
664
|
Verified
8.5
21
8.8
663
|
Verified
Generative AI
Not enough data
7.6
302
Not enough data
7.7
301
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
9.0
24
8.6
889
9.0
24
8.9
889
9.0
23
8.7
971
|
Verified
8.9
24
8.5
852
8.6
25
8.4
954
|
Verified
8.0
23
8.2
877
|
Verified
Deployment & Integration - Analytics Platforms
Not enough data
8.8
123
Not enough data
8.7
125
Not enough data
8.4
116
Not enough data
9.1
139
Advanced Analytics
8.3
21
8.3
736
|
Verified
8.8
28
9.2
1034
|
Verified
8.6
24
8.4
746
|
Verified
Performance & Scalability - Analytics Platforms
Not enough data
8.0
139
Not enough data
8.6
115
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.8
116
Not enough data
8.6
114
Not enough data
8.3
111
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.1
109
Not enough data
8.1
110
Not enough data
8.3
108
Not enough data
7.8
108
Personalized Intelligence - Analytics Platforms
Not enough data
8.0
111
Not enough data
8.2
113
Not enough data
8.1
110
Building Reports
8.7
22
8.8
584
|
Verified
8.9
19
8.8
579
|
Verified
8.9
19
8.5
508
|
Verified
8.2
19
8.5
503
|
Verified
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
Apache Superset and Microsoft Power BI are categorized as Analytics Platforms
Unique Categories
Apache Superset has no unique categories
Microsoft Power BI is categorized as Semantic Layer Tools
Reviews
Reviewers' Company Size
Apache Superset
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
14.9%
Information Technology and Services
10.6%
Computer Software
10.6%
Marketing and Advertising
6.4%
Logistics and Supply Chain
6.4%
Other
51.1%
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%
Discussions
Is Apache superset good?
2 Comments
BT
yes its very good , easy to use Read more
What is Superset software?
1 Comment
PG
It is an excellent open-source platform designed for the generation of graphs and analytical processes, which allows you to easily carry out ETL...Read more
What can you do with Apache superset?
1 Comment
NV
Apache Superset is an easy-to-use Business Intelligence tool that collects and processes data in large volumes to produce visualised results like charts and...Read more
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
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