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Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++
SAP HANA, short for 'High Performance Analytic Appliance' is an in-memory, column-oriented, relational database management system written in C, C++: solidDB: Unicom Global 1992 Proprietary Relational with standard SQL support. ODBC and JDBC interfaces. Includes in-memory and on-disk tables in the same engine. Supports high availability. SQL CE
DuckDB is an open-source column-oriented relational database management system (RDBMS). [1] It is designed to provide high performance on complex queries against large databases in embedded configuration, [2] such as combining tables with hundreds of columns and billions of rows.
The Zope Object Database (ZODB) was created by Jim Fulton of Zope Corporation in the late 1990s. Initially, it began as a simple Persistent Object System (POS) during the development of Principia, which later evolved into Zope. A significant architectural change led to the renaming of the system to ZODB 3.
Document-oriented database, for storing, retrieving and managing document-oriented information; List of column-oriented DBMSes that store data tables by column rather than by row; List of in-memory databases, which primarily rely on main memory for computer data storage; See Category:Database management systems for a complete lists of articles ...
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.
Each system has at least some features of an object–relational database; they vary widely in their completeness and the approaches taken. The following tables compare general and technical information; please see the individual products' articles for further information.
Row-oriented benefits from fast insertion of a new row. Column-oriented benefits from fast insertion of a new column. This dimension is an important reason why row-oriented formats are more commonly used in Online transaction processing (OLTP), as it results in faster transactions in comparison to column-oriented. [2]