Data Management

Predictable Performance for Unpredictable Workloads

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Executive Summary

This paper introduces Crescando: a scalable, distributed relational table implementation designed to perform large numbers of queries and updates with guaranteed access latency and data freshness. To this end, Crescando leverages a number of modern query processing techniques and hardware trends. Specifically, Crescando is based on parallel, collaborative scans in main memory and so-called "Query-data" joins known from data-stream processing. While the proposed approach is not always optimal for a given workload, it provides latency and freshness guarantees for all workloads.

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