Bandwidth Optimization for transferring SQL and TDS files
Microsoft SQL Server continues to gain market share due to its ability to support a wide range of user applications – from small projects to mission critical programs and big data solutions. TDS (Tabular Data Stream) is an application layer protocol used by SQL databases to manage user interactions and data transfers. MS SQL Server uses a common set of tools to deploy and manage databases both on-premises and in the cloud. This simplifies the transition from in-house data storage to cloud-based data management. And interoperability with Excel provides a familiar environment for many users not directly engaged in SQL project development.
Acceleration Systems deploys a suite of optimization procedures which together reduce network traffic and shorten data transfer times. AS minimizes data transfers, first by identifying repeat patterns in the data at the byte level. Each time a matching string of data enters the acceleration engine, only a short reference to the data pattern is transferred. Once duplicate information has been eliminated, the resulting data stream is further reduced in size using advanced compression algorithms. Additionally, data references are stored at both ends of the connection so once the system “learns” a character pattern, the benefit is immediately bi-directional. Simultaneous optimization of the transport level TCP protocol improves the efficiency of the link by minimizing the number of acknowledgments sent back and forth across the connection. Minimizing the chattiness of TCP is especially important on long distance fiber-based WANs, wireless (cellular/microwave), and satellite links.
As a result of these features, Acceleration Systems’ bandwidth optimization boosts SQL/TDS traffic and data transfer performance and reduces demands for more bandwidth.