Java Native Interface (JNI) Database Management System
eXtremeDB for the fastest possible embedded database solution in Java.
eXtremeDB Java Native Interface (JNI) delivers the fastest embedded database in Java
McObject provides a Java Native Interface (JNI) for eXtremeDB, for the fastest possible embedded database solution in Java. The JNI reduces development time and accelerates run-time performance in Java applications, outperforming relational database management systems (RDBMSs) and “pure” Java object databases, as well as object caching software in Java.
eXtremeDB is also available as a classic client/server SQL RDBMS for Java (and other languages). Learn more about eXtremeSQL.
For organizations already using Java, eXtremeDB JNI delivers the speed of compiled C/C++ for performance-intensive data sorting, storage and retrieval tasks, with the convenience of using a familiar language. As a Java in-memory database system, eXtremeDB’s breakthrough performance stems from a streamlined architecture that manages data entirely in main memory, eliminating file I/O, cache management and other overhead found in database systems that incorporate disk storage.
Figure 1. A Java application with eXtremeDB JNI benefits from native access to database functions running in compiled C.
“POJOs” and Simplified Programming
With eXtremeDB JNI, developers work with the database entirely from within the Java programming language. There is no external database definition language, and no requirement to compile a database schema.
Instead, the JNI uses Java’s reflection capability to discover database classes and their fields that are defined in the application, via class definition syntax (see Figures 2 and 3). This streamlines coding, and the developer’s experience is one of working with plain old Java objects (POJOs).
Optionally, the Java class definitions can be used to generate a schema that, in turn, can be processed by McObject’s schema compiler, so that C/C++ and Java programs can use the same database.
Java Class Declarations
With eXtremeDB JNI, class definitions use “@” to indicate a database attribute.
Figure 3. eXtremeDB for HPC’s Java API uses Java reflection to discover classes, their fields and other attributes at run-time.
Java Databases & Performance
What are the database options in Java when an application calls for the highest possible responsiveness?
SQL Relational DBMSs (usually w/ JDBC driver) — RDBMSs’ biggest drawback with Java is the “impedance mismatch” that occurs when going between relational structures and SQL (a set-oriented database access language), on one end, and the object-oriented Java language, on the other. The need to “map” between object and relational technologies consumes CPU cycles and hurts performance.
All-Java databases — embedded object-oriented databases written in Java – deliver improved performance by eliminating impedance mismatch. However, as a language that is interpreted at run-time, Java’s performance can’t compete with compiled C and C++, and this limitation binds all-Java databases.
eXtremeDB JNI — The Java Native Interface to eXtremeDB uses the Java language (Java class definitions) to define the database schema. Since it relies on the programming language’s own syntax, there is (by definition) no impedance mismatch. Database sorting, retrieval and storage take place in fast, compiled C code rather than Java.
Importantly, when using the JNI, developers can leverage the other performance-enhancing features of eXtremeDB, including its core in-memory architecture, columnar layout for time series data, vector-based statistical function library, High Availability, Clustering and more. Hybrid eXtremeDB enables the developer to easily combine both database paradigms – using in-memory and on-disk – in a single database instance.
From inception, eXtremeDB’s resilient and optimized storage capabilities uniquely qualified it to fuel database management for safety-critical and resource-constrained embedded applications.
Internet of Things
eXtremeDB’s Active Replication Fabric™ creates a data management foundation for the IoT ecosystem that seamlessly integrates edge and cloud applications’ storage and ensuring data safety all around.
Hard Real-time Systems
eXtremeDB/rt is the first and only deterministic embedded DBMS for mission- and safety-critical hard real-time applications. It is built to satisfy strict requirements for timely execution of avionics and aircraft navigation systems, driver assistance systems, critical medical equipment and similar systems’ data management.
Big Data & Analytics
Columnar and row-oriented storage, a SQL engine infused with advanced analytics, and a scalable distributed architecture deliver speed and reliability to complex data-driven applications.
Data management wherever you need it.
Hybrid Data Storage Unlike other IMDS, eXtremeDB databases can easily be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables.
Row & Columnar Flexibility for Time Series Data eXtremeDB supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed.
A Hard Real-time Option eXtremeDB/rt is the first and only deterministic embedded DBMS for mission- and safety-critical real-time applications.
Embedded and Client/Server Fast, flexible eXtremeDB is data management wherever you need it, and can be deployed as an embedded database system, and/or as a client/server database system.
Platform Independent eXtremeDB is designed and implemented to be a highly portable.