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."Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology."
"The setup is very simple."
"Once you have learned Informatica, it is very easy to use."
"It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective."
"Informatica PowerCenter is a very good ETL tool."
"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."
"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."
"It has good standard features for ETL development."
"It is easy to use, and it can handle a large amount of data."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"Analysis is now more visual than in the past."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive."
"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's initial setup was straightforward."
"It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux."
"There can be scalability issues. Huge amounts of data ingestion will impact performance."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"The reputation of Informatica is that it is expensive."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
"The developer tool documentation can be enhanced with a more clear explanation of each utility, accompanied by relevant examples, so that developers are able to create programs with ease."
"There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce."
"Unstructured data handling is an important area with a shortcoming that needs improvement in the solution."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"There are not enough language options. It needs to be offered in more than just English."
"The performance could be better."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"I have noticed that Tableau is not very compatible with ClickHouse. There's no direct connection to ClickHouse; you have to set up an ODBC connection."
"Tableau's data modeling, mining, and AI library features need improvement."
"In the cloud sometimes the performance is a little bit slow."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
Informatica PowerCenter is ranked 4th 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 SAP Analytics Cloud. See our Informatica PowerCenter vs. Tableau report.
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