Case Study: XING Events achieves real-time, scalable search across 14 million members with Elastic (Elasticsearch)

Xing Powering business connections throughout Europe

XING is Europe’s largest professional social network with about 14 million members and more than six million searches per day. Search is core to the product — members must find people, jobs, groups and events quickly — but XING faced slow responses, timeouts and update delays (sometimes up to 50 minutes) while handling over one million member updates per day, creating a poor user experience and operational risk.

XING adopted Elasticsearch for real-time indexing and a distributed, resilient architecture. The change made updates searchable immediately, improved query speed and reliability, and allowed easy horizontal scaling. Developers could rapidly add features (autocompletion, messaging indexes, better recommendations), resulting in a more responsive, available and flexible search platform.

XING Events

Daniel Olmedilla

Vice President, Data Science