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The canonical analytics architecture today consists of a browser connected toa backend in the cloud. In all deployments that we are aware of, the browser issimply a dumb rendering endpoint. As an alternative, this paper exploressplit-execution architectures that push analytics capabilities into thebrowser. We show that, by taking advantage of typed arrays and asm.js, it ispossible to build an analytical RDBMS in JavaScript that runs in a browser,achieving performance rivaling native databases. To support interactive dataexploration, our Afterburner prototype automatically generates localmaterialized views from a backend database that are then shipped to the browserto facilitate subsequent interactions seamlessly and efficiently. We comparethis architecture to several alternative deployments, experimentallydemonstrating performance parity, while at the same time providing additionaladvantages in terms of administrative and operational simplicity.

In-Browser Split-Execution Support for Interactive Analytics in the Cloud