What is the difference between map topology and geodatabase topology?

What is the difference between map topology and geodatabase topology?

Only one map topology can be defined for an edit session. Geodatabase topology is a data object created and stored in a geodatabase. A geodatabase topology defines a set of rules about the relationships between feature classes in a feature dataset. Map topologies have no rules and there is no validation process.

What is topology ArcGIS pro?

Topology describes the way interrelated features are organized and connected. In ArcGIS Pro, it is implemented as a collection of spatial rules that are used to constrain active edits or audit and maintain the correctness of features based on their position relative to other features.

Are there three types of topology in the geodatabase?

There are three types of topology available in the geodatabase: geodatabase topology, map topology, and the topology created for a geometric network. A feature class can participate in only one topology at a time.

How to create a geometric network in geodatabase?

Creates a geometric network in a geodatabase using the specified feature classes, role for each feature class, and the specified weights with weight associations. The feature classes must reside in the same feature dataset as the geometric network. Only point and line feature classes are supported as input.

Where are topological relationships stored in a geometric network?

In a geometric network, topological relationships are stored in the geodatabase and maintained automatically by the software. In geodatabase and map topologies, spatial relationships are not stored—they are “discovered” as needed (for example, when a feature class is edited in ArcMap).

Can a feature class participate in another geometric network?

The feature classes cannot participate in another geometric network or other advanced geodatabase dataset such as a topology, network dataset, terrain, or fabric. Connectivity in geometric network is based on the geometric coincidence of features. Ideally, your data should be clean before you build a network.