While it is generally accepted that data warehouses and OLAP workloads are excellent applications for column-stores, this paper speculates that column-stores may well be suited for additional applications. In particular we observe that column-stores do not see a performance degradation when storing extremely wide tables, and column-stores handle sparse data very well. These two properties lead us to conjecture that column-stores may be good storage layers for Semantic Web data, XML data, and data with GEM-style schemas. 1
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Abstract: Column-oriented database has gained popularity as “Data Warehousing ” data and performanc...
In the last two decades, relational databases for analytics have been specialized to address the nee...
textabstractColumn-oriented database systems (column-stores) have attracted a lot of attention in th...
This paper reports on the results of an independent evaluation of the techniques presented in the VL...
In this paper, we examine a number of SQL and so-called “NoSQL ” data stores designed to scale simpl...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Recently, a ?column store? system called CStore has shown significant performance benefits by utiliz...
Recently, a number of papers have been published showing the benefits of column stores over row stor...
Column-oriented database system architectures invite a reevaluation of how and when data in database...
Column oriented database have continued to grow over the past few decades. C-Store, Vertica Monet DB...
Abstract—A constantly increasing CPU-memory gap as well as steady growth of main memory capacities h...
Data storing is today very important topic. Because of Web 2.0 and software-as-a-service application...
Five years ago I proposed a common database approach for transaction processing and analytical syste...
In the following thesis I will present column-oriented database. Among other things, I will answer o...
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Abstract: Column-oriented database has gained popularity as “Data Warehousing ” data and performanc...
In the last two decades, relational databases for analytics have been specialized to address the nee...
textabstractColumn-oriented database systems (column-stores) have attracted a lot of attention in th...
This paper reports on the results of an independent evaluation of the techniques presented in the VL...
In this paper, we examine a number of SQL and so-called “NoSQL ” data stores designed to scale simpl...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Recently, a ?column store? system called CStore has shown significant performance benefits by utiliz...
Recently, a number of papers have been published showing the benefits of column stores over row stor...
Column-oriented database system architectures invite a reevaluation of how and when data in database...
Column oriented database have continued to grow over the past few decades. C-Store, Vertica Monet DB...
Abstract—A constantly increasing CPU-memory gap as well as steady growth of main memory capacities h...
Data storing is today very important topic. Because of Web 2.0 and software-as-a-service application...
Five years ago I proposed a common database approach for transaction processing and analytical syste...
In the following thesis I will present column-oriented database. Among other things, I will answer o...
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Abstract: Column-oriented database has gained popularity as “Data Warehousing ” data and performanc...
In the last two decades, relational databases for analytics have been specialized to address the nee...