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PostgreSQL

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638 reviews
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4.4
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PostgreSQL Reviews

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UDDAGIRI S.
US
UDDAGIRI S.
AWS DATA ENGINEER TATA CONSULTANCY SERVICES
06/06/2023
Validated Reviewer
Review source: Organic

Azure postgre

I can store data in relational database in the form of tables, views and functions
RL
Ramiro L.
05/25/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Feature-rich, and performant database system that suits a wide range of applications

-Scalability and Performance: PostgreSQL can handle high-volume workloads and scale to large datasets. -Cross-Platform Compatibility: PostgreSQL runs on multiple platforms, including Linux, macOS, and Windows.
Vladimir T.
VT
Vladimir T.
Ingeniero y Desarrollador
05/22/2023
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Most reliable database

Reliable: Even when there is no space in disk or with some hardware errors it can recover. Fast --it requires optimizing but it gives the tools to optimize. Open Source. Periodicaly updated.

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What is PostgreSQL?

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL: 008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation. An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance. It supports international character sets, multibyte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL systems in production environments that manage in excess of 4 terabytes of data.

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