A common database approach for OLTP and OLAP using an in-memory column database

By Hasso Plattner. SIGMOD Conference, 2009

432 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In-Memory Big Data Management and Processing: A Survey (2015, background): “…cache more efficiently, some works focus on re-organizing the data layout by grouping together all values of each attribute in an N-ary Storage Model (NSM) page [91] or using a Decomposition Storage Model (DSM) [173] or completely organizing the records in a column store [41], [90], [174], [175].”
HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots (2011, background): “Hasso Plattner, the co-founder of SAP, advocates the “data at your fingertips”-goal for enterprise resource planning systems [2].”
The SAP HANA Database -- An Architecture Overview (2012, background): “Therefore, optimized data Ideally, a database shall be able to process all of the above-mentioned workloads and application-speciﬁc logic in a single system [13].”
Apache flink : Stream and batch processing in a single engine (2015, methodology): “Completely transparent for the application, data is organized along its life cycle either in column or row format, providing the best performance for different workload characteristics[11, 1].”