We performed a comparison between Oracle Essbase, SAP Analytics Hub, 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.
"Essbase is extremely stable and low-maintenance."
"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."
"The solution is scalable."
"The solution can handle a large volume of data."
"I have found the most valuable aspect is the user-friendly environment and current features."
"It helps us fetch specific data sets per users' requirements."
"It is highly efficient and easily scalable, particularly for handling large databases."
"The solution is stable and reliable."
"This product provides good reports using a single pane of glass."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"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 provides business users with a tool, so they are not dependent on IT."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"The data blending capabilities is a huge factor for our team."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
"I really like the interactivity of the dashboards."
"The ability to drive external reporting out for development could be improved."
"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."
"It's an expensive product to use."
"They should improve the solution's performance."
"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 interface can be simplified because it is not a user-friendly experience."
"The technical support for Analytics Hub is limited and could be improved."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"I have noticed that Tableau is not very compatible with ClickHouse. There's no direct connection to ClickHouse; you have to set up an ODBC connection."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
"There are not enough language options. It needs to be offered in more than just English."
"Licensing and pricing options could be made better so that more users would be able to use it."
"When there are millions of records, scaling up is quite difficult."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
