CUBRID is engineered as a completely free, open-source relational database management engine, with built-in enterprise grade features.
It provides unique powerful features, such as object oriented database elements relations, data sharding, a native middleware broker, high performance data caching, customizable and extendible globalization support.
It also provides a high level of SQL compatibility with MySQL and other known databases.
Features include:
- Fully transactional, ACID compliant.
- ANSI SQL.
- Referential Integrity.
- B+tree, covering index.
- Table joins (INNER, LEFT, RIGHT, OUTER, UNION, MERGE).
- Nested and Hierarchical queries.
- LOB data support (BLOB/CLOB).
- True VARCHAR.
- Conditional Regular Expressions.
- Over 90% SQL compatibility with MySQL.
- Query plan caching.
- Cursors, Triggers and Stored Procedures.
- Unicode support.
- Cross-platform.
- Multi-process architecture and multi-threaded server implementation.
- Native API for PHP, PDO, Python, Ruby, Perl, ODBC, OLEDB, ADO.NET, C.
- Native Database Administration and Migration Tools.
- Command line database management utilities and SQL Interpreter.
- High-Availability feature for 24/7 uninterrupted service availability highly recommended by leading IT and Communication providers. (Master : Slave architecture).
- Native Connection Pooling (can also be used with Oracle and MySQL).
- Load balancing and distribution.
- Database Sharding for automatic scale-out – coming in the next version.
- Synchronous/asynchronous/semi synchronous, one-way, transaction-level, schema independent, chained or grouped replication.
- Data Import/Export.
- Online/Hot, Offline, and Incremental Backup with an opportunity to schedule and adjust based on the needs.
- Unlimited databases, tables and rows.
Website: www.cubrid.org
Support: Documentation
Developer: Naver Search Solutions
License: GNU General Public License for Server Engine and BSD license for APIs and GUI tools
CUBRID is written in C. Learn C with our recommended free books and free tutorials.
Return to Relational Databases
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