We’ve had many users ask about plans to support the ArcMap geodatabase replication workflows in ArcGIS Pro and we want to clarify a few things regarding replication workflows moving forward. The need to access authoritative GIS data from anywhere at any time is more important than ever. This is causing a shift in how we access and interact with data. Web GIS patterns provide the means to share, access, and work with data in a variety of ways extending the ArcGIS Platform. Because of this shift our general direction has been moving from the client/server model (directly accessing the geodatabase via a database connection) to a web GIS services model. We believe that there are inherent advantages in a services architecture.
In ArcGIS Pro and ArcGIS Enterprise, we have already been actively developing functionality that supports the new feature service sync technology. With ArcGIS Pro 2.1 we introduced offline editing workflows to allow maps to be taken offline when disconnected from the network. This takes the feature service datasets offline to a local geodatabase. Users can perform edits locally, and then sync those edits with the server. The bi-directional sync process allows the offline geodatabase to share changes made and receive updates others have made to the web feature layer. See the ArcGIS Pro documentation for more information: http://pro.arcgis.com/en/pro-app/help/projects/take-a-map-offline.htm
We have a mid-term project planned to further incorporate geodatabase replication workflows into ArcGIS Pro. We are still early in the planning phase of this project, but one aspect of the project involves leveraging the feature service sync technology. We want to leverage sync as it is available across the platform in both our online and enterprise products. The existing geodatabase replication tools will continue to work with data that is compatible with ArcMap and we encourage you to continue to use them until an ArcGIS Pro solution is available.
We are interested in hearing your workflows with distributed data. Please feel free to comment with your business requirements and how you are currently working with distributed data.
