We performed a comparison between Tableau and Teradata Data Lab 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."Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on."
"The most valuable feature is the interface, which is user-friendly and intuitive."
"It has made the reporting stage simple and enabled us to focus mainly on the ETL part"
"Good data flow and management."
"This solution has improved insights into quantitative data."
"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."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"It has increased the speed of reporting."
"The data preparation could integrate better with Tableau."
"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."
"It would be nice to include more features on each dashboard."
"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."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
"With Tableau, there is a gap in its ability to handle very large-scale data."
"There should be stronger data modules for the platform."
"Their level of technical support is adequate. It could be better."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"The initial setup was complex as we had to rewrite a lot of the code."
Earn 20 points
Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. Tableau is rated 8.4, while Teradata Data Lab is rated 8.6. The top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". On the other hand, the top reviewer of Teradata Data Lab writes "You can schedule any testing you want to do in production". Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks, whereas Teradata Data Lab is most compared with Teradata Vantage, Databricks, Microsoft Power BI and Oracle DataScience.com Platform. See our Tableau vs. Teradata Data Lab report.
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