With this release, FairCom announces the next phase of FairCom replication. This new advancement brings new capabilities to tackle the most demanding of replication requirements.
Now available with FairCom DB V12, c-treeRTG V3, and FairCom Edge V3, the next phase of FairCom replication brings new capabilities to effortlessly tackle the most demanding of replication requirements:
Dynamic Data Sync - The initial synchronizing of data between a source and target is no longer a manual process. Data synchronization is now under Replication Manager control and completely automated when deploying replication plans between servers.
Replicated File Operations - File create, delete and rename operations are now under replication control.
Integrated Replication - The new, advanced version of the Replication Agent is now a plug-in that runs inside the FairCom Database Process.
Synchronous Replication - For mission-critical environments, this ensures data is replicated before returning a commit to the application, eliminating data loss and out-of-sync data.
Parallel Replication - Replication is now multi-threaded for greater speed. You control the level of parallelism to meet your tolerance for latency, and to match the capabilities of your CPU. Parallel replication honors the order of dependent transactions to ensure full ACID compliance.
Replication Manager - This browser-based interface does all the work to set up replication. It backs up source tables, creates tables on the target server, restores tables to the target server, creates the ongoing replication task, starts the replication task, and catches up all activity when replication is paused and restarted.
FairCom Replication has made such great strides in this release, and here are books where you can learn more details. Details on this advanced replication management facility are available here:
FairCom is pleased to announce advancements in building Highly Available solutions with FairCom Technology. Full details on building High Availability and Disaster Recovery solutions are available in the FairCom Clustering documentation: Clustering for Scalability and Availability
