HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots

By Alfons Kemper, Thomas Neumann. IEEE International Conference on Data Engineering, 2011

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Learned Cardinalities: Estimating Correlated Joins with Deep Learning (2018, methodology): “To obtain true cardinalities for our training data, we use HyPer [8].”
Efficiently Compiling Efficient Query Plans for Modern Hardware (2011, methodology): “As described in [5], they are derived from TPC-H queries but adapted to the combined TPC-C and TPC-H schema.”
In-Memory Big Data Management and Processing: A Survey (2015, methodology): “Traditional write-ahead logging (WAL) is also the de facto approach used in in-memory database systems [35], [36], [37].”
The adaptive radix tree: ARTful indexing for main-memory databases (2013, background): “This has led to very intense research and commercial activities in main-memory database systems like H-Store/VoltDB [1], SAP HANA [2], and HyPer [3].”
Horton Tables: Fast Hash Tables for In-Memory Data-Intensive Computing (2016, background): “Hash tables are fundamental data structures that are ubiquitous in high-performance and big-data applications such as in-memory relational databases [12, 17, 40] and key-value stores [20, 24].”