SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
Block Oriented Processing of Relational Database Operations in Modern Computer Architectures
Proceedings of the 17th International Conference on Data Engineering
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Integrating compression and execution in column-oriented database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Performance tradeoffs in read-optimized databases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
The use of cluster analysis in physical data base design
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
Column-stores vs. row-stores: how different are they really?
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Column-oriented query processing for row stores
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP
A flash-based decomposition storage model
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
Sliced column-store (SCS): ontological foundations and practical implications
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Enhancements to SQL server column stores
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Microsoft SQL server's integrated database approach for modern applications and hardware
Proceedings of the VLDB Endowment
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The SQL Server 11 release (code named "Denali") introduces a new data warehouse query acceleration feature based on a new index type called a column store index. The new index type combined with new query operators processing batches of rows greatly improves data warehouse query performance: in some cases by hundreds of times and routinely a tenfold speedup for a broad range of decision support queries. Column store indexes are fully integrated with the rest of the system, including query processing and optimization. This paper gives an overview of the design and implementation of column store indexes including enhancements to query processing and query optimization to take full advantage of the new indexes. The resulting performance improvements are illustrated by a number of example queries.