Common batch mode was enhanced in SymmetricDS 3.11 to allow any group of nodes to share batches. Let's look at what common batches are and why this is a big deal for database replication with more than a couple nodes.

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Subsetting data during replication can improve the overall performance of your sync scenario and reduce the size of target databases.   This article will explain some of the ways SymmetricDS will allow you to subset your data and how to consider the performance implications with each case.

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SymmetricDS was originally designed to support a use case with numerous client nodes spread out geographically in order to replicate to a centralized server.  The out of the box properties and configuration are optimized to support many other use cases and may not be sufficient when you need more than a couple dozen client nodes.   Check out some of the helpful hints below to assist in a successful synchronization rollout to numerous clients.

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The initial data load is an important first step for data replication, so in the latest version 3.10 of SymmetricDS Pro, we worked hard to improve the Outgoing Loads screen to make it easy to follow progress and see how long the load will take. Here are some highlights that benefit long-running loads.

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For a large database, the conventional initial load that extracts each table, one by one, can run for days. Not everyone can wait for that, so here are some tips to improve initial load performance on SymmetricDS.

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