What is PostgreSQL
PostgreSQL is an object-relational database management system (ORDBMS), the most advanced open-source database management system in the world. It’s an alternative to commercial databases.
Why choose PostgreSQL
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.
Modern data stack
PostgreSQL Alternatives
How We Use Postgresql
Explore how we've helped businesses unlock the full potential of their data with PostgreSQL.
Skycoach
Non-expert In-House Team Receives and Acts upon Professional Guidance to Establish Monitoring of Product Insights
Read case study →Wing
Built supply chain analytics and fraud detection for a US telecom. Heatmap analysis optimized warehouse locations. Credit fraud pattern detection estimated to save $50-100K/year.
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