Main features of PostgreSQL

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In addition to being open source, PostgreSQL is packed with a wealth of features. Partitioning, load balancing, and connection pooling all work with PostgreSQL to give it a considerable advantage over its contemporaries.

Here is a list of some notable features of PostgreSQL:

JSON data support: The ability to query and store JSON allows PostgreSQL to run NoSQL workloads as well. If you are designing a database to store data from multiple sensors and are unsure of the specific columns belgium whatsapp number data you will need to support the sensors, you can build a table such that one of the columns adheres to the JSON format to store data that is continually changing or unstructured.
Robust Extensions: PostgreSQL hosts an impressive set of features including point-in-time recovery, multiversion concurrency control (MVCC), tablespaces, granular access controls, write-ahead logging, and online/hot backups. PostgreSQL is also locale-aware for case-sensitivity, sorting, and formatting. It is highly scalable both in the amount of data it can handle and the number of concurrent users it can accommodate.
Data freshness: The many forms of federation, combined with replication, provide push and pull technologies for almost any type of data system. They can be combined in different configurations to link database storage solutions, without requiring the ELT/ETL processing package. Data is not moved at all outside the source system, meaning that data is always up to date.
Test-driven development: PostgreSQL follows a test-driven development, where every bug faces a test, and code is written to satisfy the test. These tests are built in so that the bugs do not reappear in future versions of PostgreSQL. A new PostgreSQL update is only released when all regression test cases pass.