Apache Superset vs Pyramid Analytics comparison

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Apache Superset

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Executive SummaryUpdated on Jan 1, 2025

Pyramid Analytics and Apache Superset are competing products in the business intelligence arena, each offering distinct capabilities for data visualization and analytics. Pyramid Analytics seems to have the upper hand in integration capabilities, while Apache Superset offers greater flexibility due to its open-source nature.

Features: Pyramid Analytics provides advanced analytics with drill-down reports, extensive data governance, and robust support for DAX queries. It allows users to swap between columns and rows easily, recalculating relevant measures automatically, and supports a full ETL process connecting a diverse range of data sources. Apache Superset features a no-code interface enabling self-service operations, easy dashboard configuration, and mapping roles. It supports a wide range of charts and allows query writing for needed datasets.

Room for Improvement: Pyramid Analytics could improve its graphic designer, which users find clunky. Improvements in online analytics could enhance usability further. Enhancing customization for visuals beyond existing options could expand Pyramid's appeal. Apache Superset could benefit from a smoother setup process as the current manual setup might challenge users lacking technical expertise. Enhanced integration with third-party tools and simplifying the configuration of more complex dashboards would be beneficial.

Ease of Deployment and Customer Service: Pyramid Analytics supports both on-premise and cloud deployments with strong customer support, providing personalized assistance during implementation. Apache Superset requires manual setup and relies heavily on community-driven support, posing challenges for those needing more structured guidance, although the community helps with troubleshooting.

Pricing and ROI: Pyramid Analytics requires a higher initial investment, justified by its comprehensive features and enterprise-level integration, delivering substantial ROI. Apache Superset, being open-source, offers a cost-efficient entry with flexibility in expense commitment, mainly suited for organizations that can invest in customization and development efforts internally.

To learn more, read our detailed Apache Superset vs. Pyramid Analytics Report (Updated: September 2025).

Apache Superset vs. Pyramid Analytics

September 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Apache Superset

Ranking in Data Visualization

2nd

Average Rating

8.2

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Pyramid Analytics

Ranking in Data Visualization

13th

Average Rating

7.6

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (15th)

Mindshare comparison

As of September 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.3%, down from 10.3% compared to the previous year. The mindshare of Pyramid Analytics is 1.7%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Apache Superset	9.3%
Pyramid Analytics	1.7%
Other	89.0%

Data Visualization

Featured Reviews

Md Ariful Islam

Application Engineer at Rakuten Symphony

Provides robust search capabilities with potential for additional features

The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.

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Shyam Pendyala

Manager, BI Platforms at Refinitiv, an LSEG Business at LSEG (London Stock Exchange Group)

A comprehensive and user-friendly business intelligence for enhanced data insight

When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"What I appreciate the most about Apache Superset is that it's free and easy to set up."

"The no-code interface is the most valuable as it allows us to operate without constant support from the data engineering team, fostering a self-service environment."

"The solution supports a rich set of charts and enables users to create their own dashboards."

"When you click on any chart, you can apply the filter without any effort."

"It is a good visual solution tool in an open-source category."

"The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution."

"The benefits I have seen from using Apache Superset for the business team are that they have been able to look at the numbers easily, log into the portal, and look at different dashboards, which are at different granularities."

"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."

More Apache Superset pros

"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."

"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."

"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."

"It seems quite performant in analyzing multi-dimensional information sets and presenting them."

"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."

"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."

"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."

"The on-premise version has quite good scalability."

Cons

"With Apache Superset, we had some problems with the permissions when we had too many users."

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."

"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."

"Dark mode would be the main thing I would like; it does not really work because the chart text cannot be white in a dark mode setup, so it is not feasible."

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."

"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."

"The platform's reporting feature needs enhancement."

"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."

"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."

"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."

"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."

"The general amount of negative comments that I am hearing from my team makes me very wary."

"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."

"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."

"I find that this is quite a heavy, time-consuming tool for developers."

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."

"Apache Superset is an open-source solution."

"Apache Superset is open-source and free."

"Apache Superset has a three-year licensing model."

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

13%

Government

Healthcare Company

Financial Services Firm

12%

Computer Software Company

10%

Government

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	1

Questions from the Community

What do you like most about Apache Superset?

It is a good visual solution tool in an open-source category.

What is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

What needs improvement with Apache Superset?

Apache Superset has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...

What do you like most about Pyramid Analytics?

The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.

What is your experience regarding pricing and costs for Pyramid Analytics?

I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...

What needs improvement with Pyramid Analytics?

Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...

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Product Reports

Download Apache Superset product report

Apache Superset

September 2025

Download Pyramid Analytics product report

August 2025

Overview

Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.

Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.

What are the key features of Apache Superset?

Dashboard Configuration: Simplifies the process of setting up dashboards with minimal coding.
No-Code Environment: Enables dashboard creation without developer involvement.
Cross-Filters and Role Mapping: Allows dynamic filtering and user role mapping for tailored data access.
Embedded Analytics: Facilitates embedding of dashboards into applications.
Wide Chart Library: Offers diverse visualization options for comprehensive data display.

Why consider Apache Superset for your organization?

Data Consistency: Ensures unified data usage across dashboards.
Enhanced Insights: Provides insightful visualizations for better decision-making.
Process Optimization: Streamlines data processes for operational efficiency.
Self-Service Model: Empowers teams to manage data independently without IT intervention.

Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.

Apache

The BI Office from Pyramid Analytics is a web-based governed data discovery and analytics platform. It integrates the four principal functions of any comprehensive BI strategy into a single, seamless application. Users can now analyze, present, report and predict on their data in a single application. Pyramid Analytics has native apps to cover the entire mobile spectrum, iOS, Android and Windows. With BI Office users can integrate SAP data with data from other sources giving them the right tools and better data to make data-driven decisions.

Sample Customers

Information Not Available

US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University