We performed a comparison between Oracle Essbase, Pyramid Analytics, and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Oracle, Quest Software, SolarWinds and others in Database Development and Management."The solution can handle a large volume of data."
"Unlike relational, where you're linking together multiple tables, with Essbase, you basically define what the dimensions are beforehand, and you define the hierarchy, and then load the data. This allows you to do a pretty sophisticated analysis so that you can drill into it and slice and dice the data."
"It is highly efficient and easily scalable, particularly for handling large databases."
"The solution is stable and reliable."
"It helps us fetch specific data sets per users' requirements."
"I have found the most valuable aspect is the user-friendly environment and current features."
"Essbase is extremely stable and low-maintenance."
"The solution is scalable."
"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 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 most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"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."
"The on-premise version has quite good scalability."
"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."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"It's a very good, flexible product, and it's easy to learn."
"The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."
"Tableau has improved my organization in a variety of ways, one of its uses being that of data analysis. A feature I have found most valuable is the ease of use and straightforwardness, in addition to the flexibility of Tableau."
"This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases)."
"Tableau is easy to use and it has great predictive features."
"They should improve the solution's performance."
"The ability to drive external reporting out for development could be improved."
"It's an expensive product to use."
"I would like to see an integration with application performance management and a version control management tool."
"The initial setup is pretty complex."
"There is room for improvement in terms of cost-effectiveness."
"The initial setup could be simplified."
"Essbase has a programming language, and it has a couple of functions to do forecasting, however, their feature set for that is not that good."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"I find that this is quite a heavy, time-consuming tool for developers."
"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."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"The charts in Tableau are quite limited."
"The solution needs to improve its integration capabilities."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
"The pricing is a bit expensive."
"More integration with Python or something related to machine learning would be a good improvement."
"When there are millions of records, scaling up is quite difficult."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
