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NDB Client programs. Client programs can be written that access MySQL Cluster data directly from

the NDBCLUSTER storage engine, bypassing any MySQL Serversthat may connected to the cluster,

using the NDB API, a high-level C++ API. Such applications may be useful for specialized purposes

where an SQL interface to the data is not needed. For morę information, see The NDB API.

NDB-specific Java applications can also be written for MySQL Cluster using the MySQL Cluster

Connector for Java. This MySQL Cluster Connector includes ClusterJ, a high-level database API

similar to object-relational mapping persistence frameworks such as Hibernate and JPA that connect

directly to NDBCLUSTER, and so does not require access to a MySQL Server.

Support is also provided

in MySQL Cluster NDB 7.1 and later for Cluster JPA, an OpenJPA implementation for MySQL Cluster

that leverages the strengths of ClusterJ and JDBC; ID lookups and other fast operations are performed

using ClusterJ (bypassing the MySQL Server), while morę complex queries that can benefit from

MySQL's query optimizer are sent through the MySQL Server, using JDBC. See Java and MySQL

Cluster, and The ClusterJ API and Data Object Model, for morę information.

MySQL Cluster NDB 7.3 also supports applications written in JavaScript using Node.js. The MySQL

Connector for JavaScript includes adapters for direct access to the NDB storage engine and as well as

for the MySQL Server. Applications using this Connector are typically event-driven and use a domain

object model similar in many ways to that employed by ClusterJ. For morę information, see MySQL NoSQL Connector for JavaScript.

The Memcache API for MySQL Cluster, implemented as the loadable ndbmemcache storage engine

for memcached version 1.6 and later, can be used to provide a persistent MySQL Cluster data storę,

accessed using the memcache protocol.

The standard memcached caching engine is included in the MySQL Cluster NDB 7.3 distribution. Each

memcached server has direct access to data stored in MySQL Cluster, but is also able to cache data

locally and to serve (some) requests from this local cache.

For morę information, see ndbmemcache—Memcache API for MySQL Cluster.