People frequently contrast SQL and PostgreSQL to decide which is preferable for their data engineering project. The most crucial thing to keep in mind is that there isn’t a single database that will be a suitable fit for every project requirement, therefore it’s necessary to know which option will be most effective for your particular use case. So, in order to help you better grasp the differences between SQL and PostgreSQL and determine which is most appropriate for your needs, this blog compares PostgreSQL and SQL Server on basic level.
What is SQL Server?
SQL Server is a top RDBMS built on top of SQL and created by Microsoft. It is used to organize and store data for a variety of organizational use cases, including business intelligence, transaction processing, data analytics, and machine learning services. Without having to duplicate data storage in a database, SQL Server’s row-based table structure enables you to link relevant data components from other tables.
What is PostgreSQL?
The PostgreSQL License governs the use of PostgreSQL, an open source object-relational database management system. It features complex SQL capabilities, such as foreign keys, sub-queries, and triggers, and supports both relational (SQL) and non-relational (JSON) data types. Additionally, PostgreSQL is quite expandable, enabling you to create unique functions and construct data types.
Here are some of the main factors on the basis of which both can be compared.
Platform Support:
PostgreSQL is an open source platform that works with the majority of the top operating systems. Numerous operating systems, including Linux, macOS, Windows, BSD, and Solaris, are capable of hosting it. It can also be set up on Kubernetes or Docker containers.
However, SQL Server only supports Microsoft Windows, Microsoft Server, and Linux as operating systems.
RDBMS vs. ORDBMS:
PostgreSQL is an ORDBMS which means that, similar to Object-Oriented programming languages, objects, classes, and inheritance are supported by PostgreSQL. It can handle novel data formats such as video, audio, and image files.
RDBMS like SQL Server is based on the relational model of data and is well-suited for handling traditional application activities like data processing and management.
Syntax and language:
Both SQL Server and PostgreSQL implement their own dialects of the SQL language in addition to using the mainstream SQL query language.
Transact-SQL, sometimes known as T-SQL, is the language used by SQL Server. It offers all the same capability as SQL and includes a number of exclusive programming extensions. It is limited, offering support for Java, JavaScript (Node.js), C#, C++, PHP, Python, and Ruby only.
In PostgreSQL, you may combine SQL with its own procedural language, PL/pgSQL, which enables you to add control structures to SQL as well as functions and trigger operations. It also supports Python, PHP, Perl, Tcl, Net, C, C++, Delphi, Java, JavaScript (Node.js), and more.
Apache-Age:-https://age.apache.org/
GitHub:-https://github.com/apache/age
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