Neo Technology Announces Neo4j GraphDays Events in Seattle and Silicon Valley

Neo Technology, creators of Neo4j, the world’s leading graph database, today announced details on its upcoming Neo4j GraphDays: #AllYouCanGraph Seattle and #AllYouCanGraph Silicon Valley events. Slated for March 5 and 12th, respectively, these complimentary one-day events will bring together new and experienced graphistas for a graph-filled day with Neo4j experts.


#AllYouCanGraph Seattle

  • Thursday, March 5, 2015 from 9:00 a.m. to 5:00 p.m. PST
  • Bell Harbor Conference Center, 2211 Alaskan Way, Seattle, WA 98121
  • Includes “Getting Started with Neo4j” training course
  • For the agenda and registration, visit:

#AllYouCanGraph Silicon Valley

  • Thursday, March 12, 2015 from 9:00 a.m. to 5:00 p.m. PDT

  • Quadrus Conference Center, 2400 Sand Hill Road, Menlo Park, CA 94025
  • Includes “Getting Started with Neo4j” training course
  • For the agenda and registration, visit:

Both Neo4j GraphDays events will include morning discussions on graph databases along with demonstrations of how Neo4j powers business applications. Afternoon sessions will offer attendees a complimentary hands-on training covering the core functionalities of the Neo4j graph database. With a mixture of theory and hands-on practice sessions, developers will quickly learn how easy it is to work with a powerful graph database using Cypher as the query language. They will also learn how to design and implement a graph database model, and how to evolve an existing graph in a controlled manner to support new or changed requirements. Attendees will leave with the skills required to become effective with graphs and productive with Neo4j.

Can’t make it to Silicon Valley or Seattle? Check out our other upcoming GraphDays at:

Editor’s Note: Neo Announces GraphConnect 2015 Europe

Join us as we cross the Atlantic for GraphConnect Europe on May 7th, 2015 in London for the world’s only conference that focuses on the rapidly growing world of graph databases and applications that make sense of connected data. For more, visit: