The key differences between Firebase and MySQL:
- Architecture: Firebase is a NoSQL database that stores and syncs data in real-time (a real-time document store); MySQL is an open-source relational database management system based on the domain-specific language SQL.
- Data Handling: Firebase handles large data sets effectively; MySQL is a good choice for complex data.
- Language Support: MySQL supports more programming languages than Firebase, including Ada, C++, Python, and others.
- Price: Firebase has free and paid-for versions; MySQL is open-source and free.
- Reviews: Firebase has a customer review score of 4.5/5 on the website G2. MySQL has a lower customer review score (4.4).
SQL or NoSQL? That is the question. Successful companies need a reliable, robust database. However, with so many technologies on the market, you probably don’t know where to start. Firebase and MySQL are two database technologies built very differently. Firebase is a NoSQL database; MySQL, as the name suggests, is a SQL database.
So which should you choose? We compare Firebase vs. MySQL in this comprehensive review. Learn more about features, user scores, pros, cons, and more below.
Firebase vs. MySQL: Features Table
What is Firebase?
What is MySQL?
Developed by Oracle, MySQL is the world’s most popular open-source database. It works with the following server operating systems: FreeBSD, Linux, OS X, Solaris, and Windows. It is a relational database management system (RDMS) based on the domain-specific programming language Structured Query Language (SQL). Unlike Firebase, MySQL is an open-source database. Users can deploy MySQL in the cloud or on-premises.
As a RDMS, MySQL classifies data into various tables based on related data types. Programmers use SQL to transform and extract the data from the RDMS. When implemented into an operating system, MySQL manages users, network access, and other components of a computer storage system.
Firebase and MySQL Differences
There are various differences between Firebase and MySQL:
- Firebase uses NoSQL; MySQL uses SQL.
- Firebase is horizontally scalable; MySQL is vertically scalable.
- Firebase uses key-value, wide-column, graph, or document stores; MySQL is table-based. Firebase has dynamic schemas to facilitate unstructured data; MySQL has predefined schemas.
In the end, it comes down to how you organization manages data. MySQL’s predefined schemas determine the structure of data before you use it, which can be restrictive. But MySQL also makes defining and manipulating complex data a simple and worthwhile process. It’s also better than Firebase for multi-row transactions. Conversely, Firebase can be a good choice for large data sets because NoSQL scales data horizontally, and it is faster than MySQL by some margin.
- An online community
- Learning pathways/tutorials
- Firebase Summit (annual event)
- Firebase Alpha Program (for early access to Firebase products)
- MySQL Developer Zone (documentation/server manuals/tutorials/articles)
- Mailing lists
- Bugs database
- Training and certifications
- Consulting services
Firebase has a complicated pricing system. There’s a free tier with limited features (the Spark plan) and a pay-as-you-go tier (the Blaze plan). In the simplest terms:
- The Spark plan is free.
- The Blaze plan starts from around $24.99 per month.
- As an open-source platform, MySQL is free.
Firebase and MySQL are two databases that arrive at the same destination, bu take different routes to get there. As a cloud-based NoSQL database, Firebase handles large data sets effectively. As an open-source RDMS, MySQL is more than capable of taming complex data. Ultimately, MySQL is the cheaper of the two and offers more language support.