Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving a plurality of events corresponding to a time interval and identifying that two events share a value of a key attribute. The techniques then include causing to be generated an in-memory combined database record comprising a combination of first and second attribute information from the two events and the value of the key attribute. In response to a trigger signal, the techniques include transmitting a single message, based at least in part on the combined database record, to update the database.

Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving a plurality of events corresponding to a time interval and identifying that two events share a value of a key attribute. The techniques then include causing to be generated an in-memory combined database record comprising a combination of first and second attribute information from the two events and the value of the key attribute. In response to a trigger signal, the techniques include transmitting a single message, based at least in part on the combined database record, to update the database.

Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving a plurality of events corresponding to a time interval and identifying that two events share a value of a key attribute. The techniques then include causing to be generated an in-memory combined database record comprising a combination of first and second attribute information from the two events and the value of the key attribute. In response to a trigger signal, the techniques include transmitting a single message, based at least in part on the combined database record, to update the database.

Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving, from a first user device, information identifying a group identifier for a first action object. The techniques then include assigning the identifier to the first action object and to at least one other action object.

Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving a plurality of events corresponding to a time interval and identifying that two events share a value of a key attribute. The techniques then include causing to be generated an in-memory combined database record comprising a combination of first and second attribute information from the two events and the value of the key attribute. In response to a trigger signal, the techniques include transmitting a single message, based at least in part on the combined database record, to update the database.