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 works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use."
"What I like the most is that we have to deal with less while writing the queries."
"It has a Data Catalog that uses the Model repository."
"PowerCenter performs well during data transformation and optimization."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"The product's initial setup phase is very easy."
"I like the completeness of the way I can build ETL workflows."
"It is easy to use, and it is quick for developing things. It is fairly powerful, and it can integrate with a lot of different platforms without much hassle."
"Tableau is easy to use and it has great predictive features."
"The best part about Tableau is the visualization."
"The platform's most important feature is predictive analysis."
"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."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"Tableau is easy to use compared to some other solutions, such as Excel."
"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."
"The geospatial maps representation and the visualizations are nice."
"Lacks ability to calculate cost of the product."
"The licensing is difficult."
"I would like to see it be able to import data from NoSQL."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."
"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better."
"The price of the product is an area of concern where improvements are required, considering the fact that the present licensing charges of the tool are expensive."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"It needs more ETL capabilities, to be able to address the end-to-end BI need."
"I am not a frequent user of this solution, so I am not sure what they've been doing recently. The last time when I used it, I had to use other tools with it for data extraction and cleansing. Its price should also be improved. It is more expensive than Power BI. In terms of training, there is generally better online training for Power BI, but I am not sure of that. It would be helpful to know from where to access its training."
"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."
"With Tableau, there is a gap in its ability to handle very large-scale data."
"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
"Could have more integrations with different platforms."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
Informatica PowerCenter is ranked 5th in Data Visualization with 78 reviews while Tableau is ranked 1st in Data Visualization with 290 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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