Espresso is LinkedIn’s horizontally scalable document store for primary data such as member and company profiles, InMail, social gestures (likes, comments, shares) various advertising data sets, etc. Features that differentiate Espresso from other NoSQL data stores include:

  • Transactionally consistent local secondary indexes
  • Support for hierarchical data models
  • Real-Time change data capture for nearline processing
  • Support for Active/Active multi data center deployments
  • Transactional writes for closely interrelated (co-partitioned) data