JumpMind Releases SymmetricDS Pro 3.9 Data Replication Software

SymmetricDS Pro Dashboard

We wanted users to quickly understand the system health from a single screen.

JumpMind, a leading provider of data integration software, announced today the availability of SymmetricDS Pro version 3.9, an enterprise data replication server with cross compatibility between popular database platforms. This release revamps the web console for managing replication across thousands of remote databases and troubleshooting any problems from a central location.

“The web console is the first place anyone goes to see how data replication is performing, and we wanted users to quickly understand the system health from a single screen,” said Mark Michalek, Program Manager for SymmetricDS Pro. The Dashboard was improved with additional views and a new layout that can be customized by the user. New views include a summary view with an overall health score and a speed view that measures the rate of data changes being processed.

Michalek said, “We wanted to give better feedback on performance, so we added more statistics on batches and present them in real time while data is processed.” By using remote node status, delivered immediately via WebSockets, screens now show progress bars with process times and row counts as data replication progresses, giving the user better visibility into the system. Clicking on batches lets the user drill down to investigate issues, and the batch screens were improved with graphical statistics and advanced filtering.

Custom jobs can now be configured by the user to execute scripts on a schedule, with access to the database and the replication API. Scripts are part of the configuration kept in sync across all nodes, so they can be scheduled to run on remote databases. Michalek said, “Running SQL or accessing the replication API in a custom job lets users automate tasks or perform database maintenance across one or all of their databases.”

The staging area was enhanced using compression to conserve disk space and encryption to protect data. Staging data to disk improves performance by reducing the time resources are held open in the database and over the network. The enhanced staging enables better performance without sacrificing security or space.


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