Google's Bigtable, which played the inspirational role for the column databases [74], is a compressed, high performance, scalable, sparse, distributed multi-dimensional database built over a number of technologies, such as Google File System (GFS) [75], a cluster management system, SSTable file format and Chubby [76].
Four common critical parameters in HPLC – gradient time, temperature, pH of the aqueous eluent, and stationary phase – are evaluated within the Quality by Design framework by the means of computer modeling software and a column database, to a satisfactory degree.
To describe the hysteretic behavior of flexure-shear critical reinforced concrete (RC) columns realistically, a hysteretic loop expression of flexure-shear critical RC columns under complete cyclic loading is proposed by investigating the characteristics of column specimens in PEER - Column Database.
While the column database performed better than the row-based database in terms of alert clustering and correlation analysis, the column database performed extremely poor in terms of record insertion, being able to only insert 63 records per second, and so the authors concluded that particular database was "unfeasible" for general IDS utility and only useful for analytic purposes.
Roschke et al. conducted an experiment [90] to evaluate the efficiency of alert correlation with three different database architectures: traditional row-based DBMS (e.g., MySQL), memory-based column database (e.g., MonetDB), and a custom built in-memory database.
Legacy analytic systems fail to accommodate new types of data, such as unstructured, free-text patient notes that do not fit neatly into traditional rows-and-columns databases.
Whereas column-oriented databases store their data as columns instead of the rows and use index based unique keys over the columns for the data retrieval.
This paper has identified and explored a set of rules to assist in the conversion of a relational database to one type of NoSQL database the column oriented database named HBase.
In columns-stores relocation takes less time due to compression, a technique which column-store databases are particularly good at.
A column-store database is a database which keeps each attribute in a separate file, unlike traditional row-stores, which use the slotted page layout [42].
The proposed parallel join algorithm is based on sensor data that are stored in column-oriented databases.
