Menu
I've found databases typically come in two flavors, your traditional row-oriented RDBMS or an object oriented database (OODBMS). However, in the mid 90s I remember, a new breed of databases showing up that were column oriented. Some of these were given the term 4GL, but I don't think it was a term that stuck.
What I'd like to know is the following:
The two column oriented databases that I remember working with are FAME and KDB.
829
Disadvantages of column-oriented databases. Online transactional processing. These databases are not very efficient with online transactional processing as much as they are for online analytical processing. This means they are not very good with updating transactions but are designed to analyze them.
The main benefit of a columnar database is faster performance compared to a row-oriented one. That's because it accesses less memory to output data. Because a columnar database stores data by columns instead of rows, it can store more data in a smaller amount of memory.
MariaDB, CrateDB, ClickHouse, Greenplum Database, Apache Hbase, Apache Kudu, Apache Parquet, Hypertable, MonetDB are some of the Top Column-Oriented Databases.
Columnar Database Examples Columnar databases that use CQL include Apache Cassandra, DataStax, Microsoft Azure Cosmos DB, and ScyllaDB, which is a native C++ rewrite of Cassandra. Other databases, such as Apache HBase, use their own query language.
HBase is an open-source column-oriented database system modelled on Google's BigTable.
163
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
