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HSQLDB

HSQLDB

Hyper Structured Query Language Database (HSQLDB) is an SQL relational database management system written in Java. It has a JDBC driver conforming to ANSI SQL:2008 and supports a rich subset of SQL-92 (BNF tree format) plus SQL:1999 and SQL:2003 enhancements. It is a small, fast, multithreaded engine and server with in-memory and disk based tables, LOBs, transaction isolation, encryption and ACID.

HSQLDB offers a small, fast database engine that offers both in-memory and disk-based tables.

There are embedded and server modes available. Additionally, this package includes tools such as a minimal web server, in-memory query and management tools (can be run as applets), and a number of demonstration examples.

HSQLDB is used as a database and persistence engine in many open source software projects, such as OpenOffice.org, Kurlo, JBoss, Spring Framework as well as in commercial products, such as Mathematica and Hedgehog.

 HSQLDB 2.3.2

Price
Free to download

Size
7.4MB
License

BSD License

Developer
The hsql Development Group

Website
hsqldb.org

System Requirements
Java Runtime Environment

Support:
FAQ, SourceForge Project Page, Mailing Lists, HSQLDB - Google Books, Tutorial

Selected Reviews:
Simple Thoughts

Features include:

JAVA

  • 100% Java
  • Support JDK 1.1.x, 1.2.x, 1.3.x, 1.4.x
  • Extensive JDBC interface support with batch statement and scrollable ResultSet functionality
  • Updatable, insertable ResultSet functionality
  • Full JDBC DatabaseMetaData and ResultSetMetaData support
  • Java stored procedures and functions
  • Full support for PreparedStatement objects to speed up query processing

SQL

  • Relational Database Management System, which can store Serializable Java objects
  • Very extensive support for SQL:2008 Standard syntax, including most optional features
  • Supports all base data types of the SQL Standard, including BINARY, BIT, BOOLEAN, date-time, INTERVAL, BLOB, CLOB
  • Supports user-defined DOMAIN types, including type constraints
  • Fast SELECT, INSERT, DELETE, UPDATE and MERGE operations
  • INNER, LEFT OUTER, RIGHT OUTER and FULL joins
  • NATURAL, USING and UNION joins
  • UNION, EXCEPT, INTERSECT, including use of parentheses, limits and offsets, ALL, DISTINCT and CORRESPONDING keywords
  • Scalar (single value) SELECTS, row and correlated subqueries including IN, EXISTS, ANY, ALL
  • Views, Temp tables and sequences
  • Updatable views
  • Primary key, unique and check constraints on single or multiple columns 
  • Referential Integrity (foreign keys) on multiple columns with full cascading options (delete, update, set null, set default)
  • ORDER BY, GROUP BY and HAVING
  • COUNT, SUM, MIN, MAX, AVG and statistical aggregate functions
  • Full support for SQL expressions such as CASE .. WHEN .. ELSE .. , NULLIF etc.
  • SQL standard autoincrement column support plus sequences
  • Transaction COMMIT, ROLLBACK and SAVEPOINT support
  • Multiple schemata per database
  • Triggers, implemented as Java classes, or as SQL statements
  • Database security with passwords, user rights and roles with GRANT and REVOKE
  • Extensive set of ALTER TABLE commands, including change of table column type
  • SQL stored procedures and functions

Persistence

  • In-memory tables for fastest operation
  • Disk based tables for large data sets
  • Text tables with external file data sources such as CSV files
  • Disk tables (CACHED TABLE) up to 16GB and text tables up to 2GB each
  • CLOB and BLOB storage up to 16 TB
  • Size of each string or binary item only limited by memory
  • Database dump as SQL script with or without data

Deployment

  • Embedded (into Java applications) and Client-Server operating modes
  • Three client server protocols: HSQL, HTTP and HSQL-BER - can run as an HTTP web server - all with SSL option
  • Can be used in applets, read-only media (CD), inside jars, webstart and embedded applications
  • Multiple databases per JVM
  • ODBC support

Utilities

  • Powerful and compact java command line and GUI tools for database management
  • Tranfer tool for conversion of databases to / from other popular database managment systems
Return to Relational Databases Home Page

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Last Updated Wednesday, June 04 2014 @ 05:06 PM EDT


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