Salesforce Com, Inc.

Salesforce, Inc.

Sanjay Acharya

Benjamin Busjaeger

Robert Libby

Christopher Lish

Jeremiah David Brazeau

Michael Sgroi

Balachandar Mariappan

Amanda Hatker

A method of inventory data aggregation and delivery over a distributed network comprises generating inventory data with respect to plural disparate sources, and publishing that data over a distributed network to an event processor. The method further includes receiving the published inventory data through subscription to the event processor and distributing it to a plurality of requesting devices, e.g., client devices, over the distributed network. This can include aggregating and filtering by locale or product-type the inventory data in response to requests received from those devices. This can further include reducing the aggregated, filtered data to accommodate inventory reserves, e.g., of retail outlets.

Aggregated and distributed inventory availability

Systems, methods, and computer-readable media for event sourcing datastores are provided. Events are sent to an event sourcing datastore (ESDS) from an external service, and the events are appended to an event log. The ESDS maintains the event log in one table and the events are automatically aggregated via streaming. The ESDS is linearly scalable, and enforces uniqueness, consistency, and user-defined constraints when appending events to the event log. The aggregate state is computed asynchronously and transparently cached, which provides increased read throughput and reduced latency. Other embodiments may be described and/or claimed.

Scalable event sourcing datastore

Growing community of inventors

San Francisco, CA, United States of America

Sanjay Acharya