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PostgreSQL Maestro Pro

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author: soft360
Published date: 19 November 2022


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An effective open-source object-relational database system is PostgreSQL.

It has been actively developed for more than 15 years, and because to its tried-and-true design, it enjoys a solid reputation for dependability, data integrity, and accuracy.

Describe PostgreSQL.
Postgre SQL is a robust, open-source object-relational database system with numerous capabilities that reliably store and handle the most challenging data workloads. It uses and extends the SQL language.

The POSTGRES project at the University of California, Berkeley is where Postgre SQL first emerged in 1986, and the fundamental platform has undergone more than 30 years of active development.

Because of its well-proven architecture, dependability, data integrity, extensive feature set, extensibility, and the commitment of the open source community behind the program to continually delivering performant and cutting-edge solutions, PostgreSQL has established a solid reputation.

Since 2001, PostgreSQL has been ACID-compliant and is compatible with all main operating systems. It also features robust add-ons like the well-liked PostGIS geographical database extension.

It is not surprising that many individuals and organizations have chosen PostgreS QL as their open source relational database of choice.

It’s never been simpler to get started using PostgreSQL — just choose the project you want to work on, and PostgreSQL will store your data securely and robustly.


Why use PostgreSQL?
Numerous capabilities in PostgreSQL are designed to support developers in creating applications, administrators in safeguarding data integrity and creating fault-tolerant systems, and you in managing your data regardless of the size of the dataset.

PostgreSQL is not only open source and free, but it is also very extendable.

You may create new functions, specify your own data types, and even write code in several programming languages without having to recompile your database, for instance!

When doing so does not conflict with established features or potentially result in bad design choices, PostgreSQL aims to adhere to the SQL standard.

The majority of the SQL standard’s essential capabilities are supported, but occasionally with slightly different syntax or functionality. Ongoing progress in this direction can be anticipated.

By the time version 14 is released in September 2021, PostgreSQL will have complied with at least 170 of the 179 SQL-required features.

Core compliance for 2016. No relational database complies fully with this standard as of the time of publication.

The features included in PostgreSQL are listed below in no particular order, and more are introduced with each major release.



Primitives of Data: Integer, Numeric, String, and Boolean
Structured: Array, Range/Multirange, Date/Time, UUID
JSON/JSONB, XML, and key-value (Hstore)
Point, line, circle, and polygonal geometry
Custom Types, Composite Customizations
Integrity of Data UNIQUE, NOT NULL
Principal Keys
Other Keys
Exclusion Restrictions
Advisory locks and explicit locks
Performance Indexing for Concurrency: B-tree, Multicolumn, Expressions, Partial
GiST, SP-Gist, KNN Gist, GIN, BRIN, and Advanced Indexing Indexes for covering and Bloom filters
Multicolumn statistics, an advanced query planner and optimizer, and index-only scans
Nested Transactions, Transactions (via savepoints)
Control of many concurrent versions (MVCC)
Building B-tree indexes and parallelizing read queries
dividing a table
each of the SQL standard’s stated transaction isolation levels, including Serializable
The compilation of expressions just-in-time (JIT)
Safety and Disaster Recovery
Write-ahead Logging (WAL) (WAL)
Asynchronous, synchronous, and logical replication
Active standbys, point-in-time recovery (PITR),
GSSAPI, SSPI, LDAP, SCRAM-SHA-256, certificates, and other security authentication methods
dependable access control system
security on a column and row level
Certificates and another type of multi-factor authentication
stored processes and functions
Procedural Languages: Perl, Python, and PL/PGSQL (and many more)
path expressions for SQL/JSON
Foreign data wrappers: use a regular SQL interface to connect to other databases or streams.
Tables with customizable storage interface
There are other extensions that offer further features, such PostGIS Internationalisation. Support for international character sets in text searches, such as through ICU collations
collations that don’t take into account case or accent
Full-text lookup
You can find out about a lot more features in the PostgreSQL manual.

Furthermore, Postgre SQL is very extendable; for example, many features, like indexes, have specified APIs that let you to build out PostgreSQL to address your needs.

Both in terms of the sheer volume of data it can handle and the number of concurrent users it can support, PostgreSQL has been shown to be very scalable.

There are current Postgre SQL clusters that manage several terabytes of data in production situations, as well as specialized systems that manage petabytes.

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