An Effective Approach to Vertical Partitioning for Physical Design of Relational Databases
IEEE Transactions on Software Engineering
Performance characterization of a Quad Pentium Pro SMP using OLTP workloads
Proceedings of the 25th annual international symposium on Computer architecture
Computer architecture (2nd ed.): a quantitative approach
Computer architecture (2nd ed.): a quantitative approach
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
The implementation and performance of compressed databases
ACM SIGMOD Record
Compressing Relations and Indexes
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Block Oriented Processing of Relational Database Operations in Modern Computer Architectures
Proceedings of the 17th International Conference on Data Engineering
Database Architecture Optimized for the New Bottleneck: Memory Access
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
DBMSs on a Modern Processor: Where Does Time Go?
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Weaving Relations for Cache Performance
Proceedings of the 27th International Conference on Very Large Data Bases
Buffering databse operations for enhanced instruction cache performance
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Integrating vertical and horizontal partitioning into automated physical database design
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
QPipe: a simultaneously pipelined relational query engine
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Super-Scalar RAM-CPU Cache Compression
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Integrating compression and execution in column-oriented database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Clotho: decoupling memory page layout from storage organization
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Database architectures for new hardware
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
How to barter bits for chronons: compression and bandwidth trade offs for database scans
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Cooperative scans: dynamic bandwidth sharing in a DBMS
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
RadixZip: linear time compression of token streams
VLDB '07 Proceedings of the 33rd 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
Read-Optimized, Cache-Conscious, Page Layouts for Temporal Relational Data
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Read-optimized databases, in depth
Proceedings of the VLDB Endowment
Main-memory scan sharing for multi-core CPUs
Proceedings of the VLDB Endowment
Architecture of a Database System
Foundations and Trends in Databases
Fast scans and joins using flash drives
Proceedings of the 4th international workshop on Data management on new hardware
Avoiding version redundancy for high performance reads in temporal databases
Proceedings of the 4th international workshop on Data management on new hardware
DSM vs. NSM: CPU performance tradeoffs in block-oriented query processing
Proceedings of the 4th international workshop on Data management on new hardware
Query processing techniques for solid state drives
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Dictionary-based order-preserving string compression for main memory column stores
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Self-organizing tuple reconstruction in column-stores
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Fine-grained updates in database management systems for flash memory
Information Sciences: an International Journal
ADBIS '09 Proceedings of the 13th East European Conference on Advances in Databases and Information Systems
Modular data storage with Anvil
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Column-oriented database systems
Proceedings of the VLDB Endowment
SIMD-scan: ultra fast in-memory table scan using on-chip vector processing units
Proceedings of the VLDB Endowment
Affinity analysis of coded data sets
Proceedings of the 2009 EDBT/ICDT Workshops
Analyzing the energy efficiency of a database server
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Vertical partitioning for flash and HDD database systems
Journal of Systems and Software
The performance of MapReduce: an in-depth study
Proceedings of the VLDB Endowment
Database compression on graphics processors
Proceedings of the VLDB Endowment
Efficient and scalable data evolution with column oriented databases
Proceedings of the 14th International Conference on Extending Database Technology
SQL server column store indexes
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
A case for micro-cellstores: energy-efficient data management on recycled smartphones
Proceedings of the Seventh International Workshop on Data Management on New Hardware
Optimizing write performance for read optimized databases
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
tsdb: a compressed database for time series
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Real-time creation of bitmap indexes on streaming network data
The VLDB Journal — The International Journal on Very Large Data Bases
Query optimization with value path materialization in column-stored DWMS
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
U2SOD-DB: a database system to manage large-scale ubiquitous urban sensing origin-destination data
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Towards energy-efficient database cluster design
Proceedings of the VLDB Endowment
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
Design and evaluation of storage organizations for read-optimized main memory databases
Proceedings of the VLDB Endowment
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Database systems have traditionally optimized performance for write-intensive workloads. Recently, there has been renewed interest in architectures that optimize read performance by using column-oriented data representation and light-weight compression. This previous work has shown that under certain broad classes of workloads, column-based systems can outperform row-based systems. Previous work, however, has not characterized the precise conditions under which a particular query workload can be expected to perform better on a column-oriented database.In this paper we first identify the distinctive components of a read-optimized DBMS and describe our implementation of a high-performance query engine that can operate on both row and column-oriented data. We then use our prototype to perform an in-depth analysis of the tradeoffs between column and row-oriented architectures. We explore these tradeoffs in terms of disk bandwidth, CPU cache latency, and CPU cycles. We show that for most database workloads, a carefully designed column system can outperform a carefully designed row system, sometimes by an order of magnitude. We also present an analytical model to predict whether a given workload on a particular hardware configuration is likely to perform better on a row or column-based system.