* Single Instance - You can use ArangoDB as a specialized database for key/values, documents or graphs and even mix up those data models in one query. * Cluster - Synchronous replication. Automatic failover. Self-organizing cluster state management. Fast cluster startup. Easy maintenance. Multiple data models. All with an ArangoDB Cluster. * Mixed Services - Modern Architectures demand scalability, polyglot persistence and low maintenance. Modern data center operating systems put your data cluster on autopilot. * Graph - ArangoDB provides also the full feature set of a mature graph store (e.g. pattern matching, shortest path, full blown traversals) and due to a little magic it can perform graph queries very fast compared to many other leading graph solutions. * Document - You can store as many attributes in a document as you like (default size of a document is 32MB, but configurable to your needs). ArangoDB has a wide feature-set for querying and working with documents like joins, secondary indexes or acid transactions. You can horizontally scale join usage to the technically possible.

* CRUD * KeyValue and KeyOnly tables * Unique and non-unique indexes * Unique and non-unique composite indexes * SQL like query language * Transactions support * Concurrency control, thread safe * Memory management * Scalable hot MasterSlave and MasterMaster replications * On disk and in memory databases supported * Automatically create databases * Zero configuration, copy and run, purely managed code * Dynamic columns * Different types with different indexes can be stored in same table * Persistence + ORM + Cache + Embeddable, ONE STOP solution * ResultSet compatible with LINQ * High performance, no dependencies * Update Increment * Selecting Tracer