We performed a comparison between Informatica PowerCenter and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is an excellent ETL tool."
"It has a Data Catalog that uses the Model repository."
"Good interface, reasonable documentation."
"The number of docs has been reduced drastically, which is very good."
"Informatica PowerCenter has been implementing mapping design, data flow, and workflow execution for years."
"The solution is stable."
"It's a complete package, which is why we use this solution."
"What I like the most is that we have to deal with less while writing the queries."
"It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers."
"The use of a storyboard helps the flow of the data visualisation."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"It provides business users with a tool, so they are not dependent on IT."
"I believe one of the most valuable features of the solution is trend analysis."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
"The solution is configurable and flexible. We can customize the dashboards and configure the interface the way that we want. The data can be manipulated and arranged in different ways, such as columns."
"Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."
"I found it is kind of weird that not all of the mapping changes are treated as true changes."
"The initial setup is not straightforward. You need expertise to do it."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"The solution's commercial cost is very high. Other open-source tools can do the tool's functions for free. The world is moving to the cloud, but the solution hasn't updated its drivers. I presume that its downfall will start soon. The tool is trying to cross-sell or upsell without helping customers derive benefits from the existing products. They have multiple tools and licenses. It is better to bring the smaller tools in one umbrella."
"Support could be better."
"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"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'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."
"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."
"I would like to be able to set the parameters in a more specific manner."
"Include forecasting on table calculation fields."
Informatica PowerCenter is ranked 5th in Data Visualization with 78 reviews while Tableau is ranked 1st in Data Visualization with 293 reviews. Informatica PowerCenter is rated 8.0, while Tableau is rated 8.4. The top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". 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". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and StreamSets, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Informatica PowerCenter vs. Tableau report.
See our list of best Data Visualization vendors.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.