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PetaSQL Database for Analysis
Database for Big Data Analysis

PetaSQL was initially used as storage to store log data of DBMS security solutions, and is now a general-purpose DBMS that can be used in various solutions. It can also be applied to medium to small scale online transaction processing (TP) tasks as well as the construction of large volume Data Mart (DM) and Data Warehouse (DW). PetaSQL uses the OLAP-type Column-Oriented-based storage method, instead of the Row-Oriented-based storage method used in existing OLTP-type DBMS, to ensure that it is suitable for real-time data analysis and search tasks. It also supports next-generation data processing structure, which could be used in both OLTP tasks and OLAP tasks through parallel processing and transaction processing (TP). Additionally, it has applied design method to minimize security vulnerability to respond to various security enhancement demands such as encryption backup and preventing forgery and alteration of data as demanded by the Personal Information Protection Act. It supports various functions for convenience in backups and transfers, and provides other various functions for convenience in DBMS management.

  • Big Data

    Column-based Structure Suitable for Data Warehouse and OLAP

    Optimization of Storage, Extraction, Analysis, and View of Mass Data

  • Fast Processing Speed

    Maximization of Balance and Usage Efficiency for Multiprocessor and Multicore System Resources

    Realized Ultra-High-Speed Data Processing Structure with the Usage of Optimized Memory

  • Convenience

    Convenience Using Orange for PetaSQL

    Supports SQL-based RDBMS Standards

  • Compatibility

    Supports from Basic Data Types such as CHAR, VARCHAR, TEXT, INT, BLOB, CLOB, and URL to User-defined Data Types

    Supports Programming Interface (JDBC, ODBC, C, etc.)

  • Security Enhancement

    Prevents Data Forgery and Alteration

    Encryption Column Type

    Access Control through Process Authentication