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PostgreSQL

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665 reviews
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4.4
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PostgreSQL Reviews

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Swapnil Patel i.
SI
Swapnil Patel i.
09/17/2025
Validated Reviewer
Review source: Thank You page

High Data integrity and complex query support with various data types choose postgres sql only

We can play with many data types and we are in fintech domain so it is quite efficient in term of banking.
Dhiraj D.
DD
Dhiraj D.
Data Engineer / ETL Developer / Power BI Developer
09/16/2025
Validated Reviewer
Review source: Organic

Best DB workbench

It's user interface is very friendly. It easily give data modification table , schema , views create scripts.
Mahesh B.
MB
Mahesh B.
09/16/2025
Validated Reviewer
Verified Current User
Review source: Organic

Good Database for Web Applications

I mainly used my postgres for storing my transactional data and also for some analytical data. It is very good database if we are using it for transactions.

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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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