* 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

* In-process. BergDB is designed for application databases and runs in the same process as the application code for highest possible performance and for reduced complexity. * Widely cross-platform. The database library is available to any JVM or .NET language. * Scalable. BergDB is suitable for applications storing small amounts of data, say 1 kB. Yet, it scales to store terabytes of data in billions of entries. * Time-key-value data model. Data is stored as time-key-value entries. * Schemaless. Values stored in the database are raw byte arrays, Unicode strings, or objects (could also be called "documents"). * Secondary indexes. Besides the primary index, BergDB supports secondary indexing of objects based on object field values. * Code only. The developer use ordinary Java (or any other .NET/JVM language) code to store and retrieve data. * Simple API. The database runs embedded in your application process for highest possible performance. * Transaction throughput. BergDB is designed to be fast for both traditional rotating disk drives and for solid state drives. * Always consistent. Changes to the database state is always made using atomic transactions with the highest isolation level: serializable.