ArcGIS Enterprise deployments and certain other functionality in ArcGIS depends on the use of ArcGIS Data Store. This topic lists functionality and apps that require you to use ArcGIS Data Store.
Functionality
The following table lists the functionality in ArcGIS Enterprise you get with ArcGIS Data Store and the type of data store you need to configure to get it.
| Functionality | Data store type |
|---|---|
Configure a hosting server for ArcGIS Enterprise. | Relational data store |
Publish scene layers to your portal from ArcGIS Pro or a scene layer package. | Tile cache data store If you publish from ArcGIS Pro, an associated feature layer is created with the scene layer. If the associated feature layer does not reference a registered data source, the data for the associated feature layer is copied to the relational data store. |
Archive observation data streamed when using ArcGIS GeoEvent Server. | Spatiotemporal big data store |
Use GeoAnalytics Tools in Map Viewer or ArcGIS Pro. (GeoAnalytics Tools create hosted feature layers as output, and the data is stored in the spatiotemporal big data store.) | Spatiotemporal big data store and relational data store |
Use raster analysis tools in Map Viewer or ArcGIS Pro. Raster analysis tools use the tile cache data store to temporarily store data generated during analysis. A subset of raster analysis tools create hosted feature layers, and the data for those layers is stored in the relational data store. | Tile cache data store and relational data store |
Apps
The following Esri apps require a base ArcGIS Enterprise deployment, which includes a relational data store:
Considerations when you need more than one type of data store
If you require more than one type of data store, Esri recommends that you configure them on separate machines. Relational and spatiotemporal big data stores each require a large percentage of a machine's memory to process data queries. Depending on how much and the size of the data you store, each data store could consume large amounts of disk space and memory. When you put more than one type of data store on the same machine, they compete for these storage and memory resources, which can negatively affect the performance of your ArcGIS Enterprise deployment.