We performed a comparison between Informatica PowerCenter and SAS Visual Analytics 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."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."
"The support is valuable. There are also open-source ETL products, which work very well, but there is no support. When we face a production problem, being able to get support is valuable, and it brings efficiency. With an open-source solution, we can't engage anyone to resolve the problem as quickly as possible."
"Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System."
"Enterprise-scale ETL solution that's very stable and is easy to scale. It integrates and connects with multiple new systems, both structured and semi-structured."
"What I like the most is that we have to deal with less while writing the queries."
"Once you have learned Informatica, it is very easy to use."
"It has very good monitoring and process monitoring."
"The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."
"It integrates well with SAS, making it simple and quick for developers."
"Great for handling complex data models."
"The flexibility of the configuration is valuable to me."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The solution does not scale."
"This product is going to decommission in the next couple of years."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"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."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
"The solution can improve by providing more connectivity by having native ODBC or JDBC connections available. It will be easier and more people could start using it."
"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"The solution is a little weak at the front end."
"I haven't come across any missing features."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"A bit more flexibility in the temperatization will be helpful."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
Informatica PowerCenter is ranked 5th in Data Visualization with 78 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Informatica PowerCenter is rated 8.0, while SAS Visual Analytics is rated 8.0. 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio. See our Informatica PowerCenter vs. SAS Visual Analytics report.
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