I use two versions currently. The latest version that's just come out and the 2022 versions. Currently, I'm using the solution to pull APC data using the data collection. I've got to transform the data massively to make it usable, so I use FME for huge amounts of transformation and to put it into ArcGIS Enterprise. FME is a ZTL as well, specifically the "L" bit. I also use FME for a lot of analysis where we want it quick and efficient on big datasets that ArcGIS Pro is unrealistic to do on. I also use FME, where if somebody sends me a spreadsheet where, for example, we would need to get everything in capital letters, it's quicker for me to capitalize everything in FME Workbench than it is in Excel. I can use FME for just about everything, from logging processes to looking at file structures, what's changed in file structures, what people are doing, or what they've updated. It's not just need-to-know. It's a massive piece of software that's also coded in Python. What FME can't do, I then write in Python. I can make FME pull in ArcPy, which means that for every single thing that ArcGIS Pro can do, I can make FME. It's much bigger than the box.
Primary use cases include: creating automatic data flow processes, enabling users to self-serve their data needs, and handling real-time events. It is a fault-tolerant, scalable multi-tier solution, so it has backup facilities. One can use a multi-server setup with a database. We can download data, start processes, update databases, send messages, tweets, push notifications, and almost everything in a few clicks. With spatial data, it has almost no competitors.
Expert Data at a government with 1,001-5,000 employees
Real User
2021-01-27T23:22:00Z
Jan 27, 2021
We use FME to do some ad hoc analysis, especially facial analysis, but they use it as well to do some generic processing for data quality controls. These are the main use purposes. It's in a governmental context and the most important data sets or addresses link to other information. Also authentication on partials.
FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.
I use two versions currently. The latest version that's just come out and the 2022 versions. Currently, I'm using the solution to pull APC data using the data collection. I've got to transform the data massively to make it usable, so I use FME for huge amounts of transformation and to put it into ArcGIS Enterprise. FME is a ZTL as well, specifically the "L" bit. I also use FME for a lot of analysis where we want it quick and efficient on big datasets that ArcGIS Pro is unrealistic to do on. I also use FME, where if somebody sends me a spreadsheet where, for example, we would need to get everything in capital letters, it's quicker for me to capitalize everything in FME Workbench than it is in Excel. I can use FME for just about everything, from logging processes to looking at file structures, what's changed in file structures, what people are doing, or what they've updated. It's not just need-to-know. It's a massive piece of software that's also coded in Python. What FME can't do, I then write in Python. I can make FME pull in ArcPy, which means that for every single thing that ArcGIS Pro can do, I can make FME. It's much bigger than the box.
Primary use cases include: creating automatic data flow processes, enabling users to self-serve their data needs, and handling real-time events. It is a fault-tolerant, scalable multi-tier solution, so it has backup facilities. One can use a multi-server setup with a database. We can download data, start processes, update databases, send messages, tweets, push notifications, and almost everything in a few clicks. With spatial data, it has almost no competitors.
We use FME to manage network infrastructure for Smallworld Database.
We use FME in geographical data analysis where a lot of sources or processes are involved.
We use FME to do some ad hoc analysis, especially facial analysis, but they use it as well to do some generic processing for data quality controls. These are the main use purposes. It's in a governmental context and the most important data sets or addresses link to other information. Also authentication on partials.