Abstract: In various example embodiments, multiple workspaces have access to modify values in a graph database. The graph database can comprise a collection of entity nodes, where each entity node is connected to an identifier node and one or more state nodes. An update to an entity node can be recorded by generating a new state node to store the update and connecting the new state node to the entity node. How each workspace views the database is based, at least in part, on which state nodes are associated with each workspace. The workspaces are independent of one another, and changes made to an entity node in one workspace do not affect how another workspace views the same entity node. By managing database data for each of the workspaces using the same graph database and recording changes in state nodes in an additive manner, the computational overhead is greatly reduced and simplified.

Abstract: Systems and methods for multiple updates to a database using paths is disclosed. Updates to a graph database can be performed by associating an attribute node, that stores the updated value, to the entity node to-be updated. When the entity node is queried for the value, the nearest attribute node is identified using a shortest path determination.

Abstract: Systems and methods for multiple updates to a database using paths is disclosed. Updates to a graph database can be performed by associating an attribute node, that stores the updated value, to the entity node to-be updated. When the entity node is queried for the value, the nearest attribute node is identified using a shortest path determination.

Abstract: In various example embodiments, multiple workspaces have access to modify values in a graph database. The graph database can comprise a collection of entity nodes, where each entity node is connected to an identifier node and one or more state nodes. An update to an entity node can be recorded by generating a new state node to store the update and connecting the new state node to the entity node. How each workspace views the database is based, at least in part, on which state nodes are associated with each workspace. The workspaces are independent of one another, and changes made to an entity node in one workspace do not affect how another workspace views the same entity node. By managing database data for each of the workspaces using the same graph database and recording changes in state nodes in an additive manner, the computational overhead is greatly reduced and simplified.

Abstract: In various example embodiments, multiple workspaces have access to modify values in a graph database. The graph database can comprise a collection of entity nodes, where each entity node is connected to an identifier node and one or more state nodes. An update to an entity node can be recorded by generating a new state node to store the update and connecting the new state node to the entity node. How each workspace views the database is based, at least in part, on which state nodes are associated with each workspace. The workspaces are independent of one another, and changes made to an entity node in one workspace do not affect how another workspace views the same entity node. By managing database data for each of the workspaces using the same graph database and recording changes in state nodes in an additive manner, the computational overhead is greatly reduced and simplified.

Abstract: In various example embodiments, multiple workspaces have access to modify values in a graph database. The graph database can comprise a collection of entity nodes, where each entity node is connected to an identifier node and one or more state nodes. An update to an entity node can be recorded by generating a new state node to store the update and connecting the new state node to the entity node. How each workspace views the database is based, at least in part, on which state nodes are associated with each workspace. The workspaces are independent of one another, and changes made to an entity node in one workspace do not affect how another workspace views the same entity node. By managing database data for each of the workspaces using the same graph database and recording changes in state nodes in an additive manner, the computational overhead is greatly reduced and simplified.

Abstract: Systems and methods for multiple updates to a database using paths is disclosed. Updates to a graph database can be performed by associating an attribute node, that stores the updated value, to the entity node to-be updated. When the entity node is queried for the value, the nearest attribute node is identified using a shortest path determination.