Support for many data types
PostgreSQL supports integers, floating point numbers, strings and Booleans, bit strings and network addresses, data arrays, including multidimensional, composite types, and other complex structures.
Support for a database of unlimited size
In PostgreSQL restrictions apply only to specific entries. One table can take no more than 32 TB, and one record – 1,6 TB.
Support for complex queries
PostgreSQL handles the tasks of parsing and executing time-consuming operations that involve both reading, writing, and validation at the same time.
Writing functions in multiple languages
In addition to standard SQL, PostgreSQL can be written in C and C++, Java, Python, PHP, Lua, and Ruby. Also, it supports Delphi, Lisp, and other rare languages.
Simultaneous modification of the base
PostgreSQL provides the ability to simultaneously access the database from multiple devices. For this, the Multiversion Concurrency Control (MVCC) technology is used.
Possibility of expansion
You can write for the DBMS your own types and conversions, operations and functions, constraints and indexes, your own procedural language for queries.
High power and wide functionality
PostgreSQL is a powerful and productive DBMS, it’s able to work efficiently with large data arrays.
Cross-platform
PostgreSQL can be installed on Linux, Windows, BSD, macOS, and Solaris-based systems. In addition, PostgreSQL has a standalone PostgREST web server that can be accessed using the REST API.
MySQL
What is MySQL?
MySQL is an open-source relational database management system, which is a structured collection of data.
Learn moreClickhouse
What is Clickhouse?
ClickHouse is an open-source columnar relational DBMS from Yandex for fast processing of analytical SQL queries on structured big data in real time.
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