Peta INSIGHT
- # Data integration solution that supports real-time data replication and synchronization between cloud and on-premise and heterogeneous DBMS
- # The solution collects data in real-time by agent-less network packet analysis, freeing from disadvantages of using CDC (Change Data Capture) – synchronization delay and load. Also, it can be utilized in various fields including data distribution processing, high availability/disaster recovery, data integration and reporting, and business intelligence since data is collected, processed,and integrated regardless of the business infrastructure environment.
- Real-time data collection through network packet analysis of source DBMS
- Unloading of the original database system based on the agent-less method
- Avoids existing log-based data synchronization method (CDC)
- Data can be replicated without relying on the OS of the DBMS server
- Data synchronization and data collection between heterogeneous DBMS
- Supports simultaneous 1: 1, 1: N, N: N database data collection
- Supports various databases and cloud environments
- Processes large amounts of data up to 4G per second using a parallel processing method
- GS certification level 1
FEATURED
Real-time data synchronization and collection between heterogeneous DBMS
- Collects data between heterogeneous DBMS and processes it into formal data
Data collection based on synchronization policy and consistency policy of customer environment
- Collects policy-based data by setting synchronization/consistency policies according to customer's system environment
- Sets data collection mode by database, table, and column
Supports on-premise, cloud, and virtual environment
- Synchronizes data without relying on the OS in response to physical, cloud, and virtual environments
Verification of consistency of collected data
- Conducts sampling between source and target DBMS and examine DBMS, and retrieves the history of data execution.
FEATURED +
- Collection and transmission of data in the N: N configuration of original DB and target DB
- Collects and processes formal/informal (SNS, image, video, sensors) data by proxy or sniffing method
OPERATING
ENVIRONMENT
Real-time Data Collection
Packet collection > Analysis > Transformation > Synchronization
SUPPORTED
DATABASE
Various DBMS support
Oracle
Microsoft SQL Server
IBM DB2
Sybase IQ
Sybase ASE
MySQL
MariaDB
PostgreSQL
Amazon
Aurora
Amazon RedShift
Altibase
Tibero
Cubrid
