We performed a comparison between Google Data Studio, Tableau, and Teradata Data Lab based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting."Valuable features include advanced integrated analysis and easy implementation."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"The ability to design complex data models and equations."
"The ability to integrate with a great variety of data sources."
"The solution is free so that is a good feature."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"Easy for beginners to use"
"It gives us a new dimension to the way that we analyse our data."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
"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."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"The initial setup is quick and easy and you don't need special outside assistance to set everything up."
"Since Tableau is on the cloud, we haven't faced any challenges around scalability."
"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."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"Panels are not as easy to use as other data extraction UIs."
"It's not yet a replacement for a complete BI tool."
"Stability and scalability an be improved for a full ten."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"The performance could be better."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation."
"It's not an aesthetic platform at the moment."
"With performance tuning, it generates a pretty complex query when it is not required."
"Tableau's data modeling, mining, and AI library features need improvement."
"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."
"I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it."
"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."
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