The Best Open Source Database to Know

You cannot create a mobile app or web app without a database. Open source databases have open-source codebases for developers to download, modify and reuse. You also get to build applications using existing open source database technology. Given the cost-effectiveness of open-source databases and the ability to provide developers with resources for app creation, knowing the best database can enhance your development process.

Whether you are just starting or are a seasoned developer, below are the best open source databases you should consider for your next project.

Flash memory. A laptop and a flash card.

1. MySQL

MySQL is the most popular open-source database, and for a good reason. It has the support of every CMS and framework and is also easy to configure and manage. MySQL is fast, effective, and can easily integrate with most tools, including IntelliJ Idea. Notable companies like Google, Facebook, and Adobe rely on MySQL to save money and time as they run high-volume websites, packaged software, and other systems.

Despite its efficiency, MySQL may not work well with large databases and requires lots of memory. Also, debugging can be difficult, and data corruption may occur. MySQL may be out of reach for small businesses as it is relatively costly.

2. H2 Database

If you are a beginner, H2 Database is among the simplest open-source databases to explore. It is embeddable, coded in Java, and lightweight, taking up only 2MB of your storage. It is also easy to work with as you only need to add dependency to the application and some configuration lines. Since it complies with SQL, H2 Database is compatible with most relational databases. Whenever necessary, it can also work as an in-memory database.

Small businesses that deal with software can benefit from H2 Database. If you decide to use H2 Database, note that it has limited support as it is solely community-based. It can also benefit from additional support for the NoSQL databases.

3. Redis

Redis is the ideal database for projects that require distributed data or caching as it has speed as its key factor. It is an in-memory solution entirely in RAM, giving it super fast read-write speeds. It also has an easy-to-use layout and gives you the benefits of scalability. You can set expiry times for strings, and learn the basics of the database within a few minutes

Besides caching, you can use Redis as a database, streaming engine, or message broker. While it may not be suitable for complex applications, you can use Redis with other databases like MariaDB for the extra necessary support. Given its performance, it is suitable for relational applications in the gaming and healthcare industries.

4. PostgreSQL

Also known as Postgres, PostgreSQL is an object-relational database known for robustness, performance, and reliability. Postgres is compatible with SQL and has the versatility to support various workloads. You can use Postgres with multiple programming languages like C++, Python, and Java. It also works with numerous operating systems, from Microsoft Windows to Linux and macOS. While it runs on various languages, the process of installing it is not necessarily uniform.

PostgreSQL is appropriate for Python and Ruby applications, although you can also use it with PHP. It also has additional features, including table inheritance and function overloading, which adds to its productivity. Thanks to its pluggable nature, you can improve its functionality by adding extensions. It also allows you to perform full-text searches on the database

Open source databases are continuously evolving and growing. Their flexibility also allows you to adjust them to meet your business needs. With the growing list of open source databases, the above information can help you choose the right one for your project.