Cubrid Description

CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC.

* [Major RDBMS Features]:
- ANSI SQL standard and support extended SQL syntaxes
- Support VIEW/TRIGGER/PRIMARY KEY/FOREIGN KEY/SERIAL
- Support Stored Procedure/Function
- Seamless transactions: COMMIT/ROLLBACK/SAVEPOINT
- Support automatic recovery in the event of failure

CUBRID consists of a 3-tier structure of applications/interfaces, brokers, and servers, and the flexibility to build systems is ideal for data-intensive online transaction processing (OLTP) services.
CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core.

Pricing

Pricing Starts At:
$0.01/one-time/user

Integrations

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Company Details

Company:
Cubrid
Year Founded:
2006
Headquarters:
Seoul, Republic of Korea
Website:
www.cubrid.org
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Media

Cubrid Screenshot 1
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Product Details

Platforms
SaaS
Windows
Mac
Linux
On-Premises
Type of Training
Documentation
Videos
Customer Support
24/7 Live Support
Online

Cubrid Features and Options

Database Software

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

RDBMS Software

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization