* Advanced Search - Amisalabs DDS engine leverages in-memory skip lists to perform index intersection and unioning operations to process your queries. Your queries will run incredibly fast. * Integrated Cache - Amisalabs DDS features a dynamic in-memory object cache to speed up applications. The cache is embedded into the Document Database eliminating network round-trip latency. The memory size of the cache is fully dynamic and continuously changes at runtime. * Amisalabs DDS was designed to keep all indexes in memory at all times to process queries. This service was designed for applications that need to respond to queries at extreme low latencies. * Multi Statement Transactions * Document Joins * Flexible Updates * SQL Select * Multi SQL Select

* 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.