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The last release of the original code was in 2006; Vertica a commercial fork, lives on. DuckDB: C++ 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 ...
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
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.
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.
As a database, Milvus provides the following features: [6] Column-oriented database; Four supported data consistency levels, including strong consistency and eventual consistency. [13] Data sharding; Streaming data ingestion, which allows to process and ingest data in real-time as it arrives
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.
For example, a table of 128 rows with a Boolean column requires 128 bytes a row-oriented format (one byte per Boolean) but 128 bits (16 bytes) in a column-oriented format (via a bitmap). Another example is the use of run-length encoding to encode a column.