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An embeddable, in-process, column-oriented SQL OLAP RDBMS Databend Rust An elastic and reliable Serverless Data Warehouse InfluxDB: Rust Time series database: Greenplum Database C Support and extensions available from VMware. MapD: C++ MariaDB ColumnStore C & C++ Formerly Calpont InfiniDB: Metakit: C++ MonetDB: C
Data orientation is the representation of tabular data in a linear memory model such as in-disk or in-memory.The two most common representations are column-oriented (columnar format) and row-oriented (row format). [1] [2] The choice of data orientation is a trade-off and an architectural decision in databases, query engines, and numerical ...
Relational; implements H-Store design Xeround: Xeround Inc. Proprietary / Not for sale, service only Cloud database, defunct as of 2014 CursusDB: CursusDB 2023 JAVA, GO, C#, Python, Node.JS Open Source (GPL) CursusDB is an in-memory document-oriented, real-time capable database management system that is open-source licensed under GPL.
[12] [13] Like Druid, Pinot is a column-oriented database with various compression schemes such as Run Length and Fixed-Bit Length. Pinot supports pluggable indexing technologies - Sorted Index, Bitmap Index , Inverted Index , Star-Tree Index, and Range Index, which are what primarily differentiates Pinot from other OLAP datastores.
MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands.It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows.
This is a comparison of object–relational database management systems (ORDBMSs). Each system has at least some features of an object–relational database ; they vary widely in their completeness and the approaches taken.
By contrast, column-oriented DBMS store all data from a given column together in order to more quickly serve data warehouse-style queries. Correlation databases are similar to row-based databases, but apply a layer of indirection to map multiple instances of the same value to the same numerical identifier.
In relational databases, a column is a part of a relational table that can be seen in each row of the table. This is not the case in distributed data stores, where the concept of a table only vaguely exists. A column can be part of a ColumnFamily that resembles at most a relational row, but it may appear in one row and not in the others. Also ...