ArcGIS Data Store is an application that lets you configure data storage for the hosting server used with your ArcGIS Enterprise portal. If you are not a database expert, ArcGIS Data Store provides you with a convenient setup and configuration experience that creates the following different types of data stores:
- Relational data store—Stores your portal's hosted feature layer data, including hosted feature layers created as output from standard feature analysis tools run in the portal Map Viewer or ArcGIS Pro.
- Tile cache data store—Stores caches for your portal's hosted scene layers.
- Spatiotemporal big data store—Archives real-time observational data from a federated ArcGIS GeoEvent Server site and locations recorded through Tracker for ArcGIS. It also stores the results generated using GeoAnalytics Tools run in the portal Map Viewer or ArcGIS Pro.
Configuring different ArcGIS Data Store types allows you to do the following:
- Publish hosted feature layers to your portal.
Hosted feature layers that rely on the relational data store allow you to more easily share and manage feature data in your portal. They also provide you with some additional functionality in the portal—such as publishing tile layers and exporting data from them, and adding or deleting fields—that are not available through the portal for ArcGIS Server feature services.
When you publish hosted feature layers, the source data is copied into the relational data store.
- Publish hosted scene layers to your portal.
If your portal's hosting server has a tile cache data store, you can publish hosted scene layers from ArcGIS Pro to your portal or publish from a scene layer package that you upload to the portal.
Publishing hosted scene layers from ArcGIS Pro also creates a feature layer. The publisher determines whether the feature layer is a hosted feature layer or a feature layer that references the data in the registered data source (an ArcGIS Server feature service).
- Archive high volume, real-time observation data.
If you use ArcGIS GeoEvent Server to stream high volumes of real-time data or use Tracker for ArcGIS, you can create a spatiotemporal big data store and archive the observation data.
- Create backups of data stores automatically.
Backups ensure you can recover your data in the event of a disaster such as data corruption or hardware failure. You can control when and where automatic backups of each data store are created.
- Configure a failover data store for your feature layer data and scene caches.
ArcGIS Data Store allows you to set up primary and standby relational data store machines, and primary and standby tile cache machines. Your hosted feature layer and hosted scene layer tile cache data is replicated from the primary machines to the standby machines, so if a primary machine crashes, the standby machine can take its place with minimum downtime.
- Configure a highly available spatiotemporal big data store.
You can configure multiple spatiotemporal big data stores to balance data loads over multiple machines and ensure availability of spatiotemporal data in the event of a machine failure.
- Perform analysis in Map Viewer.
Many standard feature analysis tools create hosted feature layers and, therefore, require an ArcGIS Data Store relational data store. To use GeoAnalytics Tools, configure the portal's hosting server with a spatiotemporal big data store.
- Add files directly to Map Viewer.
Your portal must have a hosting server that uses an ArcGIS Data Store relational data store to allow portal members to add files to Map Viewer.
- Take advantage of additional Esri apps.