We performed a comparison between Hubble and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."The most valuable features are both its budgeting and forecasting."
"Self-service is most valuable. Users can pick up quickly and do the resolution. There are a lot of out-of-the-box features, and it satisfies most of the needs. If users are properly trained, they can deal with any situation."
"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 feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"Since Tableau is on the cloud, we haven't faced any challenges around scalability."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"Tableau is very good in the front-end visualization compared to Power BI."
"It is a very stable product. It doesn't break."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"We have been advised by the owners that the budgeting tool is no longer going to be supported with future development, so my recommendation would be for them to continue to invest in development. Otherwise, at some point we will have to migrate to another technology."
"The architecture should be improved to better handle the data."
"Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"They need to improve the bar chart position and width."
"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."
"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 solution needs to improve its integration capabilities."
"When you're working on a dashboard, you can't select multiple components at a time and align them, so you have to go one by one. This is very cumbersome."
Earn 20 points
Hubble is ranked 28th in Data Visualization while Tableau is ranked 1st in Data Visualization with 293 reviews. Hubble is rated 8.4, while Tableau is rated 8.4. The top reviewer of Hubble writes "Excellent for budgeting and forecasting, but long-term it will no longer be developed or supported". 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". Hubble is most compared with Microsoft Power BI, Splunk Enterprise Security and Genpact Cora SeQuence, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
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