Lora is a system for replicating existing operational data and synchronizing data in real time for accurate data analysis and management.
Real-time synchronization/replication system, no load
Lora is a system for replicating existing operational data and synchronizing real-time data for accurate data analysis and management, without overwhelming database systems in an exponentially growing era of data.
The existing log-based Lora Changed Data Capture (CDC) agent method is a structural problem that causes synchronization delay and loading. To resolve this issue, it parses the input/output of DBMS data in the Network section and runs it on the original database. By extracting the data change operations and applying it to the target database, the function of replication and synchronization of real-time load data was implemented.
Real-time data replication with Lora
Move away from the existing log-based data synchronization method (CDC)
DBMS without transaction log can be replicated
Real-time data replication is possible by implementing the data synchronization method using network flow.
Data replication between heterogeneous DBMSs
Support multiple DBMS with Lora
Oracle, Microsoft SQL Server, IBM DB2, Sybase IQ, Sybase ASE, Mysql, MariaDB, PostgreSQL, Amazon Aurora, Amazon Aurora, Amazon Redshift, Altibase, Tibero, Cubrid
Data replication between heterogeneous DBMSs
No load and no agent
Agentless solution that does not install the application on the original database
Data synchronization and replication with little performance degradation and load on the source database
Respond to cloud virtualization environments
Respond to physical, virtual, and cloud environments with Lora
Data replication is possible without relying on the operating system of the DBMS server
System Requirements
A processor with 64-bit support (also known as x86-64, x64, x86_64, AMD64, and Intel 64)
2 GB of RAM.
8 GB of disk space.
A screen capable of a resolution of 1024 x 768 or higher.
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