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With growing memory sizes and memory prices dropping by a factor of
10 every 5 years, data having a "primary home" in memory is now a
reality. Main-memory databases eschew many of the traditional
architectural pillars of relational database systems that optimized
for disk-resident data. The result of these memory-optimized
designs are systems that feature several innovative approaches to
fundamental issues (e.g., concurrency control, query processing)
that achieve orders of magnitude performance improvements over
traditional designs. This monograph provides an overview of recent
developments in main-memory database systems. It covers five main
issues and architectural choices that need to be made when building
a high performance main-memory optimized database: data
organization and storage, indexing, concurrency control, durability
and recovery techniques, and query processing and compilation. The
monograph focuses on four commercial and research systems:
H-StoreA/oltDB, Hekaton, HyPer, and SAPHANA. These systems are
diverse in their design choices and form a representative sample of
the state of the art in main-memory database systems. It also
covers other commercial and academic systems, along with current
and future research trends.
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