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  2. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    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

  3. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    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++

  4. DuckDB - Wikipedia

    en.wikipedia.org/wiki/DuckDB

    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.

  5. MonetDB - Wikipedia

    en.wikipedia.org/wiki/MonetDB

    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.

  6. Zope Object Database - Wikipedia

    en.wikipedia.org/wiki/Zope_Object_Database

    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.

  7. ClickHouse - Wikipedia

    en.wikipedia.org/wiki/ClickHouse

    True column-oriented DBMS. Nothing is stored with the values. For example, constant-length values are supported to avoid storing their length "number" next to the values. Linear scalability. It's possible to extend a cluster by adding servers. Fault tolerance. The system is a cluster of shards, where each shard is a group of replicas.

  8. Wide-column store - Wikipedia

    en.wikipedia.org/wiki/Wide-column_store

    A wide-column store (or extensible record store) is a column-oriented DBMS and therefore a special type of NoSQL database. [1] It uses tables, rows, and columns, but unlike a relational database , the names and format of the columns can vary from row to row in the same table.

  9. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    For example, Google's copy of the web can be stored in a bigtable where the row key is a domain-reversed URL, and columns describe various properties of a web page, with one particular column holding the page itself. The page column can have several timestamped versions describing different copies of the web page timestamped by when they were ...