CSQL

CSQL is an open source main memory high-performance relational database management system developed at sourceforge.net.^[1] It is designed to provide high performance for SQL queries and DML statements.

Main Memory databases performs 10-20 times faster than the disk based database systems, as it completely keeps the database in main memory. As there is no disk I/O, main memory databases provide predictive response time (~10 microseconds for point lookup and ~20 microseconds for insert/update/delete operations) which makes main memory databases ideal for real time as well as near real time applications. Refer:^[2] for more information.

It can be configured to work in Embedded as well as client/server mode. Apart from acting as relational storage engine, it can also transparently cache data from existing databases.^[3]

It can be configured to work as transparent, updateable, real time cache ( CSQL Cache ) for existing database management systems such as MySQL, Postgres, etc.

Storage

• Direct access to database, data is available in application's address space through embedded mode.
• Client/server mode access for applications residing in remote hosts.
• Atomicity - All the operations of a transaction performed take effect on the database or none of them will take effect
• Consistency - Database should be in legal state when the transaction begins and when it ends
• Isolation - Application should be able to make operations in a transaction that appear isolated from all other transactions
• Durability - Ability to recover all the committed transactions in case of application crash
• Protection from process failures by freeing resources held by dead application process
• Data Item (row) level locking and lock free internal structures for high concurrency
• Support for multiple users and authentication mechanism to access database

Data Type and Constraints

• Data Types: byte, small, int, bigint, float, double, char, binary, date, time, timestamp
• Constraints: NOT NULL, Unique key, Primary Key, Foreign Key
• Default values and auto increment key

Index

• Faster access for point lookup using hash indexing
• Faster access for range queries using tree indexing
• Highly concurrent faster operations using trie

SQL

• Support for aggregate functions, grouping, inner join, outer join, self join, distinct, order by

Caching

• CSQL Cache - Table level database caching for MySQL. Postgres

Interfaces

• Support for SQL, ODBC, JDBC, PHP
• JDBC and ODBC drivers are supported for windows

See also

• List of relational database management systems
• In memory database

References