We performed a comparison between Mode 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."The solution is simple for people from a viewing perspective, not a coding perspective."
"The most important feature of the solution is the ability to run Python-based scripts."
"The tool helps to catch results and review them."
"The most valuable feature I would say is the flexibility in editing."
"The data blending capabilities is a huge factor for our team."
"Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"The most valuable feature is the drag and drop, then the simplicity to build dashboards which allows us to provide more usable data to our customers."
"The most valuable part of the solution is the general dashboard features."
"The most valuable feature is the aggregation function."
"Its performance is pretty good, and the development time is very low."
"The solution is being delivered to our customer, who appreciates the insights generated from the reports. It is easy for them to drill into the details and use interactive charts."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
"Mode Analytics needs to improve the overall user experience."
"I think in terms of User Interface, I would say it can be better."
"The solution could run faster."
"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 would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"The pricing is high. I'm using a student license, however, I know that even this license is very expensive. I've tried to have this product in our organization, however, it's quite expensive. We don't have the internal budget."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
"Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard."
Mode Analytics is ranked 20th in BI (Business Intelligence) Tools with 4 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Mode Analytics is rated 7.8, while Tableau is rated 8.4. The top reviewer of Mode Analytics writes "The solution is easy to learn to use and very informative". 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". Mode Analytics is most compared with Databricks, ThoughtSpot, Amazon QuickSight, Microsoft Power BI and Salient, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Mode Analytics vs. Tableau report.
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