por With every day that passes with the development of Big Data, more and more tools, languages and systems are undertaken to carry out data management.because, currently, this conditions any area and field from computing to business intelligence.
PostgreSQL and MongoDB have managed to stand out within these systems as one of the ways to address the value of data. However, Their functions may resemble and, therefore, generate confusion about which of these systems to use, despite the fact that they differ in the type of data they address. For this reason, below we share What is the difference between PostgreSQL and MongoDB.
What is PostgreSQL?
This is a relational database system (SQL), so it is responsible for manipulating structured data and organizing it through rows and columns according to its content. This database management system is based on a open source operation.
Its history dates back to Berkeley University in Californiawhere it started as a simple project that ended up ruling apps like Skype, Instagram, GILT, etc.
Currently, continues to evolve its tools and possibilities for database managementwhich is why it continues to stand out within the Big Data ecosystem.
What is MongoDB?
This is a open source NoSQL database system that configures the data based on BSON data structures. MongoDB works with a C++ programming languagewhich is why it provides a great advantage in the world of Big Data thanks to its popularity.
Through this database management system you will be able to carry out ad hoc querieshave indexing, replication, load balancingleverage cargo storage and carry out the execution of Server-side JavaScript.
Difference between PostgreSQL and MongoDB
These two database management systems (PostgreSQL and MongoDB) They have several differences between them, despite having several characteristics in common and sharing their main objective of aiming at a simplification in the manipulation of databasesin order to enhance the value of the information.
Next, we share with you What are the main differences that you can find between PostgreSQL and MongoDB:
In the first instance, PostgreSQL is a relational database (SQL)while MongoDB is one of non-relational database (NoSQL).From here derives the second difference between PostgreSQL and MongoDB, since the data manipulated by the relational database are structured data and, on the contrary, a NoSQL system is responsible for unstructured data.On the other hand, PostgreSQL manages data through table creation and MongoDB does it with the collection creation.One of its big differences is MongoDB’s ability to save information by documentssomething that the other system does not do. PostgreSQL has a native type serieswhile this tool is not available in the other database management system. PostgreSQL has a custom programming language (PL/PgSQL) in addition to the possibility of implementing others such as Python, Ruby, etc. It does not share this component with MongoDB. Furthermore, the system MongoDB is self-manageable from anywherewhile PostgreSQL is not.
Finally, we mention some coincidences between PostgreSQL and MongoDB. The first of them is that both systems They are open sourcein part, thanks to the fact that they are both very effective database management systems; With the implementation of both you will be able to make queries (queries) simple and complex during the development of your data analysis. Finally, both They have the possibility of indexing data and in PosgreSQL you can also work with the C++ programming language.
However, remember that the main difference between PostgreSQL and MongoDB lies in the type of Manipulating databases: SQL and NoSQL. Therefore, also the data type: structured or unstructured data.
Continue learning about Big Data
In the course of this post, You have been able to identify the main differences between PostgreSQL and MongoDB. However, these tools have many more features and functions that you should study to become an expert in Big Data tools. Furthermore, we advise you investigate other big data management systems.
For this reason, at we offer you our Full Stack Big Data, Artificial Intelligence & Machine Learning Bootcamp. Thanks to this bootcamp, you will be able to delve deeper into data analysis using reporting thanks to the use of a tool called Tableau, well known in the world of Business Intelligence. You will understand that visual analysis is the final objective in a Big Data projectsince, through this, very useful information can be provided to a company in response to business problems with a personalized, agile and immediate aspect. Take a look at our Bootcamp and sign up now!