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Cassandra vs MySQL | Popularity, Salary, Performance, Features, and Applications

Cassandra vs MySQL

Cassandra vs MySQL: Popularity, Performance, Salaries, Features, and Applications.

Cassandra is an open-source NoSQL distributed database trusted by many companies for scalability and high availability without compromising performance.

It is designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

On the other hand, MySQL is an open-source relational database management system (RDBMS). It is fast, reliable, scalable, and easy to use.

MySQL is a very powerful database system, it was originally developed to handle databases quickly. It is one of the most popular databases used by many big companies.

One of the major differences between MySQL and Cassandra is that MySQL is a relational database system that uses the SQL language while Cassandra is a NoSQL database.

Comparing databases and choosing which one to learn or use for your next project can be tricky.

There are many factors to consider in order to choose the right database for the job you want to do.

Popularity, opportunities, type of projects, salaries, resources, learning curve, etc. are some of the factors that many people consider when comparing databases and choosing which one to learn or use.

Here are some of the comparisons and considerations you should make when choosing a Database.


Comparing the popularity of databases is not an easy task. Although the primary use of databases is to store and retrieve data, many databases are different in how they approach data storage and retrieval.

As a result, different fields and projects may require the use of different databases. This is why many companies use more than one database.

If you want to learn or use a database solely for its popularity among developers, you should learn and use MySQL over Cassandra.

Generally, MySQL is more popular than Cassandra. As of June 2023, DB-ENGINES ranks MySQL as the 2nd most popular database and Cassandra is ranked as the 12th most popular database.

According to a Stack Overflow survey of 2022, MySQL is the most popular database, it is used by 46.85% of developers.

On the other hand, Cassandra is the 13th most popular database, it is used by 2.73% of professional developers according to the same survey.

MySQL is also loved by many developers than Cassandra within their respective communities. As of 2022, MySQL is loved by 51.17% of developers versus 48.83% of developers who dreaded it.

On the other hand, Cassandra is loved by 41% of developers versus 59% of developers who dreaded it.

Ultimately, if your choice of which database to learn or use depends on popularity, you should learn MySQL over Cassandra.

Also read, Is AWS Worth Learning?


Another popular criterion that many people use to compare databases and as an incentive to learn a new database technology is salary.

Salaries for developers differ from one company to the other and from one country to the other.

Experience is another factor that comes into play as far as salaries are concerned.

The more experience you have with a certain technology or programming language, the more likely you are of getting a higher salary.

Generally, Cassandra developers earn higher salaries than MySQL developers.

According to a Stack Overflow survey of top-paying databases, Cassandra is the 3rd highest-paying database of 2022.

Cassandra developers get an average salary of $81,049 per year while MySQL developers get an average salary of $55,455 per year, about $25500 less than Cassandra developers.

So, if salary is your major incentive for learning a database technology, you should learn Cassandra over MySQL.

You are more likely to get a higher salary as a Cassandra developer than as a MySQL developer.

Also read Do all websites need a database?


Some database technologies can be learned more easily than others. MySQL is generally considered easier than Cassandra.

Depending on your familiarity with different database systems, your prior experience with similar technologies, and your specific use case requirements, you may find Cassandra easier than MySQL.

Using MySQL requires a basic to a good understanding of the SQL language. On the other hand, Cassandra requires a good understanding of NoSQL databases.

You can also use an SQL-like query language with Cassandra called Cassandra Query Language (CQL). This will make it easy to use Cassandra if you are coming from a relational database background.

MySQL will be very easy to use for developers who are already familiar with SQL and relational data modeling.

The good news is that there are plenty of helpful resources for both MySQL and Cassandra to help you learn the Database technologies.

The MySQL and Cassandra communities are very big, active, and helpful, in case you get stuck with something.


Both MySQL and Cassandra are high-performance databases. Cassandra is generally great for high availability and fault tolerance needs, while MySQL is great for complex queries.

Cassandra is known for its excellent scalability and ability to handle massive amounts of data across a distributed environment.

It is built to provide high write throughput and can handle a large number of concurrent writes.

Cassandra’s architecture allows it to distribute data across multiple nodes, ensuring high availability and fault tolerance.

It is well-suited for use cases that require high-speed writes and where horizontal scalability is crucial, such as time-series data, sensor data, and log data.

However, Cassandra’s read performance can be impacted by the need for distributed queries and the eventual consistency model it follows.

MySQL, on the other hand, is a more traditional relational database that is optimized for complex queries and data manipulation.

It has been optimized over the years and offers good performance for typical relational database workloads.

It is also highly optimized for read-heavy workloads and can efficiently handle complex joins, aggregations, and relational operations.

MySQL can handle high read and write loads efficiently and has a mature query optimizer that can optimize queries for better execution.



Cassandra is a wide-column store, and, as such, essentially a hybrid between a key-value and a tabular database management system.

Cassandra was designed to implement a combination of Amazon’s Dynamo distributed storage and replication techniques combined with Google’s Bigtable data and storage engine model.

Cassandra is fault-tolerant, Distributed, linearly Scalable, Elastic, and it Supports replication and multi-data center replication.

Cassandra is used by companies such as Apple, Netflix, Bloomberg, IBM, Instagram, eBay, Hulu, Uber, Dream11, Airship, Spotify, Target, Walmart, BlackRock, Constant Contact, BestBuy, Home Depot, Activision, Discord, and many others.


MySQL is a well-established and widely used relational database management system (RDBMS) that follows the ACID (Atomicity, Consistency, Isolation, Durability) principles.

It ensures data integrity and provides support for complex relationships between data through the use of tables, columns, and relationships.

MySQL also delivers a complete set of native, fully integrated replication technologies for high availability and disaster recovery.

Replication enables data redundancy, load balancing, and failover in case of hardware or network failures.

MySQL has a large and active community of developers and users, which means there is a vast amount of resources, tutorials, and community support available.

It also benefits from a wide range of third-party tools, libraries, and frameworks that integrate seamlessly with MySQL.

MySQL is used by companies such as Youtube, Facebook, PayPal, LinkedIn, Twitter, eBay, Cisco, Verizon, Uber, Shopify, Netflix, Github, Walmart,, Flipkart, Tencent, Alibaba, Paytm, Bank of America, WordPress, Wikipedia, and many others.


Here are some of the reasons to choose MySQL over Cassandra:

1. Relational Data: If your application or project requires structured and normalized data with complex relationships, MySQL is an excellent choice.

It supports the SQL standard and provides advanced features for managing relational data.

2. ACID Compliance: MySQL offers strong ACID (Atomicity, Consistency, Isolation, Durability) compliance, ensuring data integrity and consistency.

This makes it suitable for applications that require transactional support, such as financial systems, e-commerce platforms, and applications with complex business logic.

3. Complex Queries: MySQL has a mature and powerful query optimizer, making it highly efficient at executing complex queries.

It supports a wide range of SQL features, including subqueries, window functions, recursive queries, and joins.

This makes it well-suited for applications that involve complex data analysis, reporting, and data warehousing.

4. Community and Ecosystem: MySQL has a large and active community with extensive support and resources.

It has been in development for decades and has a robust ecosystem of extensions, libraries, and tools.

This means you can benefit from a wide range of add-ons and community-driven solutions to enhance and extend MySQL’s capabilities.


If you want a popular, open-source relational database that you can use for complex queries, full-text search, advanced datatypes, and more, you should use MySQL.

If you want a high-paying database that is fast for read operations, can handle large amounts of data, and is horizontally scalable, you should learn or use Cassandra.

Cassandra vs MySQL | Popularity, Salary, Performance, Features, and Applications
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