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The new features and functions for Sybase Replication Server which reduced bottlenecks and increased through output of your data systems. Sybase revolutionized network data management with the Sybase Replication Server family of products. Sybase Replication Server Customers have achieved unparalleled data integration and data recovery without interfering with their mission critical systems. Typically replication systems can work smoothly most of the time, but every now and then a big transaction comes along, whether caused by maintenance, routine system administration or end user need, these big transactions can sometimes choke the pipe. This could lead to higher latency for subscribing systems as well as slowing down the overall flow of information. Sybase engineers have developed solutions to this kind of problem in our Advanced Services Option for Replication Server. Advanced Services Option features two key technologies, multipath replication, known as MPR and high-volume replication called HVAR. Multipath replication improves performance by enabling parallel paths of data from the source database to the target database. There are multiple options and configurations that allow multiple replication servers to be configured to meet your specific needs. Each configuration fulfills a common need, to route the big slow transactions down different paths from shorter more nimble transactions. This increases the throughput through the network of databases and reduces system latencies. Think of MPR as a multi-lane highway for your data. Sometimes lots of small transactions, often redundant or easily consolidated, can be created as a side effect of high frequency transactions. Traditional replication systems will often just send these transactions unmodified to the subscribing database, which could slow things down. High-volume adapter replication uses a compilation and bulk-apply process to reduce the need to send many small commands by consolidating these small transactions into larger units. These consolidated commands result in the same database state, but are more efficient. By grouping together lots of small transactions into fewer commands for the target database HVAR reduces the load.

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