PostgreSQL was developed in the 1990s by a team of global volunteers. PostgreSQL which is also referred to as Postgres is an open source relational database management system. Postgres programming language was initially written in C. Its source code can be accessed by any user since there is no corporation that has restriction or ownership over it. As a database management system programming language, Postgres was the first database which offered MVCC.
In addition, Postgres programming language is compatible with a number of platforms such as UNIX, Mac OS X, Linux, Tru64, Solaris, and windows. Further, it offers support for sounds, texts, images, and video. It also provides an interface for other programming languages such as C++/C, Java, Ruby, Pearl, Open Database connectivity and Tcl.
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Why you choose Postgre SQL in the place of SQL?
Postgre SQL has some important modern features, it also consists of SQL features with below modern features which is listed below:
Complex SQL queries
Multi-version concurrency control (MVCC)
Some important topics which is covered by our exepert
PostgreSQL - DBMS, Topology, key systems, key PostgreSQL features, Access Control, configuration,
Data Definition Language (DDL), generate objects, DROP, and others
SQL - Data Manipulation Language (DML).
Aggregate Functions, Modify, UPDATE, DELETE.
Create data model, Generate SQL schema
Transform & Import data, Perform queries, SQL Object Permissions, access control.
PostgreSQL permissions-set, GRANT, Revoke to unassign privileges.
data models, database design, SQL ,core database system components, distributed databases, NewSQL/NoSQL, systems for data analytics
PostgreSQL Internals, PostgreSQL Configuration.
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Features of Postgre SQL
Below more other features which is handle by our expert.
Primitives: Integer, Numeric, String, Boolean
Structured: Date/Time, Array, Range, UUID
Document: JSON/JSONB, XML, Key-value (Hstore)
Geometry: Point, Line, Circle, Polygon
Customizations: Composite, Custom Types
UNIQUE, NOT NULL
Explicit Locks, Advisory Locks
Indexing: B-tree, Multicolumn, Expressions, Partial
Advanced Indexing: GiST, SP-Gist, KNN Gist, GIN, BRIN, Covering indexes, Bloom filters
Sophisticated query planner / optimizer, index-only scans, multicolumn statistics
Transactions, Nested Transactions (via savepoints)
Multi-Version concurrency Control (MVCC)
Parallelization of read queries and building B-tree indexes
All transaction isolation levels defined in the SQL standard, including Serializable
Just-in-time (JIT) compilation of expressions
Reliability, Disaster Recovery
Write-ahead Logging (WAL)
Replication: Asynchronous, Synchronous, Logical
Point-in-time-recovery (PITR), active standbys
Authentication: GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, and more
Robust access-control system
Column and row-level security
Multi-factor authentication with certificates and an additional method
Stored functions and procedures
Procedural Languages: PL/PGSQL, Perl, Python (and many more)
SQL/JSON path expressions
Foreign data wrappers: connect to other databases or streams with a standard SQL interface
Customizable storage interface for tables
Many extensions that provide additional functionality, including PostGIS
Internationalisation, Text Search
Support for international character sets, e.g. through ICU collations
Case-insensitive and accent-insensitive collations
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