We performed a comparison between Pyramid Analytics and Tableau based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"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."
"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."
"The on-premise version has quite good scalability."
"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."
"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."
"The most valuable feature is the 3D charting."
"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"The most valuable features are the visualizations, the way they show the combination charts."
"The solution is configurable and flexible. We can customize the dashboards and configure the interface the way that we want. The data can be manipulated and arranged in different ways, such as columns."
"Tableau will automatically show charts for the related data that I choose making it very easy to use."
"It is very easy to create dashboards, charts, and graphs."
"It is easy to use, and it can handle a large amount of data."
"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."
"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 find that this is quite a heavy, time-consuming tool for developers."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"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."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"When compared to Power BI, it is less user-friendly."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
"The charts in Tableau are quite limited."
"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
"I think Tableau could be improved with cheaper or more flexible licensing, though this is a generic improvement and applies for any product. It would be better if they had more flexible payment and licensing plans so that they could suit small- and mid-sized organizations."
"The solution’s pricing could be improved."
Pyramid Analytics is ranked 16th in BI (Business Intelligence) Tools with 8 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Pyramid Analytics is rated 7.6, while Tableau is rated 8.4. The top reviewer of Pyramid Analytics writes "A comprehensive and user-friendly business intelligence for enhanced data insight". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Pyramid Analytics is most compared with Microsoft Power BI, Alteryx, Qlik Sense, Databricks and SAP Analytics Cloud, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Pyramid Analytics vs. Tableau report.
See our list of best BI (Business Intelligence) Tools vendors and best Data Visualization vendors.
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