MongoDB vs PostgreSQL vs MySQL — Which Database is Right For You?

Ewuranna Smith-Quayson
10 min readAug 10, 2023
Photo by Tobias Fischer on Unsplash

With so many database options available today, it can be difficult to determine which one is the best fit for your application. Three of the most popular databases are MongoDB, PostgreSQL, and MySQL. But they each have their own strengths and weaknesses.

In this article, we’ll compare MongoDB, PostgreSQL, and MySQL across several factors:

Data Models — Do you need to store structured or unstructured data? Performance — How fast are reads, writes, and queries? Scalability — Can the database scale with your growth? Reliability — How resilient is the database? Ease of Use — Is the database easy to learn and use? Community Support — Are documentation and helpers readily available? By the end, you’ll have a clear sense of which database best meets the needs of your application and use case. Let’s get started!

Databases? What are they?

A database is an organized collection of data stored and accessed electronically. Databases are commonly used in software applications to store, manage, and retrieve related information. There are several types of databases that use different models and architectures for organizing data, the main ones being relational databases and NoSQL databases.

Relational databases like MySQL and PostgreSQL store data in tables that are linked together through common fields. Tables consist of rows representing individual data records and columns representing attributes.

Relational databases use SQL to access and work with data. Structured Query Language (SQL) is a special programming language for databases. These databases ensure data is always accurate and reliable. Transactions are processed in a complete all-or-nothing manner. Relational databases provide strong consistency guarantees but can struggle with scalability and unstructured data.

NoSQL databases are non-relational, distributed database systems designed to handle large volumes of rapidly changing, unstructured data by using flexible data models such as key-value, document, graph, and columnar. Unlike traditional relational databases that use SQL and tabular relations, NoSQL databases sacrifice some data consistency guarantees for scalability and speed in querying and…

--

--

Ewuranna Smith-Quayson

I write about my experiences, lessons, discoveries, stories I make up in my head, business stories and “how to” pieces. [Web Developer & Automation Lead by day]