The compressed data is a direct-access format, so you do not have to decompress it each time you access it ArcGIS and ArcReader read it directly.Ĭompression is ideally suited to datasets that do not require further editing. Also, apart from editing, you work with it the same way. Once compressed, a dataset looks the same in ArcCatalog and ArcMap as when it was decompressed. Where compressed datasets differ from decompressed data is in editing: a compressed dataset is read-only and therefore cannot be edited or modified in any way except for changing its name and modifying attribute indexes and metadata.
![arcgis file format geodatabase arcgis file format geodatabase](https://i.stack.imgur.com/MJUbp.jpg)
#Arcgis file format geodatabase full#
Lossy compression is a good choice if you require maximum compression and your data is not particularly accurate, or you're not worried about maintaining the full precision of your data, for example, if you're compressing data at a scale of 1:1,000,000 or greater. Lossy compression allows for up to 20 percent better compression of file geodatabase data, but floating-point values will be changed. With lossless compression, when you compress data, no information is lost, regardless of the coordinate system or types of attribute data the feature class or table contains and all floating-point values will be preserved. There are two types of compression that can be applied to file geodatabase data: lossless and nonlossless (or lossy). You might find it provides slight performance improvements in some operations but slows slightly in others.
![arcgis file format geodatabase arcgis file format geodatabase](https://community.esri.com/legacyfs/online/304640_.gdb.jpg)
Once compressed, display and query performance is comparable to decompressed data. To reduce storage requirements, you can compress tables and vector file geodatabase feature classes (collectively referred to as datasets in the rest of this topic) to a read-only format.