* 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

* 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.