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."The solution has a lot of customization when comparing to Microsoft BI."
"It provides supporting data for critical policy and operational changes"
"This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases)."
"I love the customization skills that Tableau has, it is not restricted to what is built-in already."
"It's a very good, flexible product, and it's easy to learn."
"The best part about Tableau is the visualization."
"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."
"I have found the solution easy to use and the interface is very good."
"It has increased the speed of reporting."
"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."
"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."
"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."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"The charting is overly complex in comparison with Power BI's"
"Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited."
"Tableau is difficult to scale because of the cost, which makes it difficult to scale."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"Reports should be downloadable as PDF files."
"The initial setup was complex as we had to rewrite a lot of the code."
"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."
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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