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's a complete package, which is why we use this solution."
"Has a good visual tool for data mapping."
"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way."
"Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better."
"Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions."
"What I like the most is that we have to deal with less while writing the queries."
"The most valuable features of Informatica PowerCenter are the ease of use, and development, and is simple to find resources."
"I found the map links, work links, and workflows valuable. They are important features."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"It is so easy to do a lot of things. There is a lot of flexibility and creativity in this product. In other products, you don't have this flexibility."
"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."
"It provides business users with a tool, so they are not dependent on IT."
"Tableau's initial setup was straightforward."
"You can create attractive dashboards that inform users using Tableau."
"The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce."
"Tableau has greatly enhanced our organization's data-driven decision-making processes by enabling us to create visually compelling reports and dashboards."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"We had stability issues, mostly with JVM size."
"There can be scalability issues. Huge amounts of data ingestion will impact performance."
"Integrating new tools can be tricky and challenging."
"There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce."
"I would like to see an improvement in the digital adoption."
"It should be more cloud-centric than on-prem-centric."
"Overall, the only major frustration that I have had so far is with Tableau Public. I first used Tableau Public when I was building capacity, and when there was a later release to download and you wanted to upgrade, all your work would have to be manually re-entered."
"If I have to develop any, for example, pie charts, I can develop them just fine. However, if I have to develop a donut chart, that I cannot do it in a simple way. There are tricks that I need to use if I have to design a donut chart. It should be more flexible and provide more visualization options."
"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."
"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."
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
"The price of Tableau is too high."
"It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager."
Informatica PowerCenter is ranked 5th in Data Visualization with 78 reviews while Tableau is ranked 1st in Data Visualization with 292 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.
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