* 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.

* Rich Admin Dashboard - View entity statistics, query your database, view indexes, and backup/restore your data. * Multiple Access Methods - Access your data via our JSON API, open-source clients, or community maintained ORMs (Objectify, NDB). * Fully Managed - Cloud Datastore is fully managed, which means Google automatically handles sharding and replication in order to provide you with a highly available and consistent database. * Diverse Data Types - Datastore supports a variety of data types, including integers, floating-point numbers, strings, dates, and binary data among others. * ACID Transactions - Ensure the integrity of your data by executing multiple datastore operations in a single transaction with ACID characteristics, so all the grouped operations succeed or all fail.