Apache Superset vs Pyramid Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Superset
Ranking in Data Visualization
10th
Average Rating
8.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Pyramid Analytics
Ranking in Data Visualization
13th
Average Rating
7.6
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (16th)
 

Mindshare comparison

As of June 2024, in the Data Visualization category, the mindshare of Apache Superset is 13.9%, up from 12.2% compared to the previous year. The mindshare of Pyramid Analytics is 2.0%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
Unique Categories:
No other categories found
BI (Business Intelligence) Tools
0.9%
 

Featured Reviews

Mesut Mutlu - PeerSpot reviewer
Apr 29, 2024
Streamlined our data visualization and analysis processes, enabling less technical team members to handle data-driven tasks independently
Apache Superset could be improved by enhancing its interactivity and engagement capabilities. While it serves well for data visualization, it lacks more dynamic features that allow users to interact with data directly through the dashboard. For the next release, including interactive widgets and reporting tools that allow actions on digital assets directly from the dashboard would be beneficial. This functionality would make Superset a more comprehensive digital analytics platform suitable for interactive data exploration and operational management. Implementing actionable buttons for security controls and dashboard management could significantly enhance user interaction, making it more suitable for real-time data manipulation and decision-making.
Shyam Pendyala - PeerSpot reviewer
Sep 12, 2023
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.

Quotes from Members

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

Pros

"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."
"It is a good visual solution tool in an open-source category."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"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."
"The on-premise version has quite good scalability."
"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."
"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."
"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."
 

Cons

"The platform's reporting feature needs enhancement."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"I find that this is quite a heavy, time-consuming tool for developers."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"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."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"Apache Superset has a three-year licensing model."
"The price of Apache Superset is less than some of its competitors."
"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
17%
Computer Software Company
15%
Government
9%
Manufacturing Company
8%
Financial Services Firm
12%
Government
12%
Computer Software Company
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 has a three-year licensing model. A free version is available from Microsoft. There is a chargeable version for the cloud as well.
What needs improvement with Apache Superset?
The product needs improvement in terms of DECT filters. At present, we have only a range or time stamp filter. They could provide more options. The platform's reporting feature needs enhancement. T...
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...
 

Learn More

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Overview

 

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
Find out what your peers are saying about Apache Superset vs. Pyramid Analytics and other solutions. Updated: June 2024.
787,779 professionals have used our research since 2012.