* Data Storage - Native storage structure with index-free adjacency results in faster transactions and processing. * Query Performance - Native processing ensures low latency and real-time performance, regardless of the number or depth of relationships. * Transaction Support - ACID transactions ensure data is fully consistent and reliable around the clock – perfect for always-on global enterprise applications. * Processing at Scale - Native graph model inherently scales for pattern-based queries. Scale out architecture maintains data integrity via replication. Massive scale up possibilities with IBM POWER8 and CAPI Flash systems.

* Built for Speed - OrientDB was engineered from the ground up with performance as a key specification. It is fast on both read and write operations. On writes, it can store up to 120,000 records per second*. * No More Joins - OrientDB can embed documents like any other document database, but also supports relationships. It doesn’t use the costly JOIN. Instead, OrientDB uses super-fast, persistent pointers between records, taken from the graph database world. You can traverse parts of or entire trees and graphs of records in just a few milliseconds. * Unmatched Flexibility - Replacing your DBMS, once it no longer meets requirements, can be a huge cost in time and resources. * Zero-Configuration Multi-Master Architecture - OrientDB supports a Multi-Master + Sharded architecture, so all the servers are masters. This provides horizontal scalability and reliability. * Elastic Linear Scalability - With a master-slave architecture, the master often becomes the bottleneck. With OrientDB, throughput is not limited by a single server. * Easy to Install and Use - OrientDB is written entirely in Java and can run on any platform without configuration and installation. It’s a drop in replacement for the most common existing graph databases in deployment today.