Chief Manager at a insurance company with 10,001+ employees
Real User
Top 5
2023-08-02T07:39:53Z
Aug 2, 2023
I am from the data visualization team and used SAS VA and SAS Data Integration Server. This year, my team has stopped the use of SAS VA and SAS Data Integration Server. We have a separate team that uses SAS Data Integration Server since they belong to the data management team. I recommend the solution to those organizations that have a very large scale of data to handle so that they can utilize the solution's data handling capabilities. Organizations can go with the solution's on-premises or cloud version. Since the cost of the on-premises version of the solution is huge, I recommend businesses go with the cloud version. I rate the overall product between seven to eight out of ten.
Manager - Technology at a insurance company with 5,001-10,000 employees
Real User
2019-12-09T10:58:00Z
Dec 9, 2019
We use the on-premises deployment model. For anyone who deals with data, I'd recommend the solution. I'd rate the solution seven out of ten. There are many other products out there, like Hadoop, that have a lot of features. I'll probably end up looking into them as a possible option as well.
What is data integration? Data integration is the process of combining data that resides in multiple sources into one unified set. This is done for analytical uses as well as for operational uses.
I am from the data visualization team and used SAS VA and SAS Data Integration Server. This year, my team has stopped the use of SAS VA and SAS Data Integration Server. We have a separate team that uses SAS Data Integration Server since they belong to the data management team. I recommend the solution to those organizations that have a very large scale of data to handle so that they can utilize the solution's data handling capabilities. Organizations can go with the solution's on-premises or cloud version. Since the cost of the on-premises version of the solution is huge, I recommend businesses go with the cloud version. I rate the overall product between seven to eight out of ten.
My advice to others would be to use the demo version first. I will rate this product a seven out of ten.
We use the on-premises deployment model. For anyone who deals with data, I'd recommend the solution. I'd rate the solution seven out of ten. There are many other products out there, like Hadoop, that have a lot of features. I'll probably end up looking into them as a possible option as well.