After installing PostgreSQL, we will learn how to migrate MySQL database to PostgreSQL. Now that we know what PostgreSQL is and how it differs from MySQL, it’s time to learn how to install PostgreSQL on Ubuntu. Hosting: Due to above-mentioned factors, it is harder to come by hosts or service providers that offer managed PostgreSQL instances.Popularity: Since is not as popular as MySQL there are lesser people who would give local or remote support if needed by an enterprise.Performance: Less performant in writing heavy data to database in comparison to MySQL.Objective: PostgreSQL is not just a relational database management system but an objective one – with support for nesting, and more.Extensible: It is possible to extend it programmatically with stored procedures like an advanced RDBMS should be.Strong third-party support: Many great and open-source third-party tools are available for designing, managing, and using PostgreSQL, despite its advanced features.Strong community: Supported 24/7 by a large community.It is Open Source: It’s open-source and free, yet a very powerful relational database management system.Postgres (Post Ingres), a project started in the mid-1980s, evolved into PostgreSQL. Ingress contributed to a number of commercial database applications like Sybase, Microsoft SQL Server, NonStop SQL and others. Ingres remained active from 1970 to 1985 with a research project at the University of California, Berkeley. A commercial company supports PostgreSQL, despite it being free and open-source software. PostgreSQL started as a project called Ingres (Interactive Graphics Retrieval System.) with a database named Ingres database. The PostgreSQL Global Development Group, made up of individuals, joint companies and free and open-source contributors, develops PostgreSQL. PostgreSQL, often simply Postgres, is an object-relational database (with additional/optional uses of object features) – with an emphasis on extensibility and standards compliance. Stagnated development: There are not big changes in the latest releases.Known limitations: By design, MySQL does not intend to do everything and it comes with functional limitations that some state-of-the-art applications might require.Speedy: Works very efficiently and cut corners, thus providing speed gains.Scalable and powerful: MySQL can handle a lot of data and furthermore it can be used at scale if needed.
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