![]() The latter is useful when working with millions of transactions on the web. PostgreSQL handles semi-structured data such as JSON and has great support for distributed SQL. Start with PostgreSQL if you want to not just learn the basic RDBMS constructs but also work with advanced and in-demand features. Here is a quick read comparing the two: PostgreSQL and MySQL. It will not surprise me at all if it surpasses MySQL as the top database soon. If innovation and features were the primary ranking criteria for this list, PostgreSQL would undoubtedly be at the top. In 1996, its name became PostgreSQL to indicate SQL support. It was originally named POSTGRES as a successor to the initial INGRES database. Initially released in 1989, PostgreSQL was born at the University of California, Berkeley. In my opinion, the massive popularity PostgreSQL has garnered in the last few years is well deserved. In the graph above, the orange line that seems to have grown consistently represents PostgreSQL. It is also not the best with semi-structured data like JSON. While it is a good place to start, MySQL is not the best if you want advanced data protection features like throttling and masking. The open-source aspect of MySQL and its maturity makes it a popular SQL database for web applications. If you are a student using MySQL only for personal use or learning, you can download a free version and you are good to go without paying a penny. Subscriptions vary from 2,000 USD a month to around 10,000 USD a month. Oracle, the company that owns MySQL, also offers paid versions of MySQL with additional features and support. YouTube uses MySQL to store all the metadata for the videos. Facebook and Uber use it in their applications. I rate it one of the most stable open-source databases available today. This is because it is one of the first open-source databases, packed with extremely useful and robust features. ![]() You see it right at the top of ranking consistently, year after year. It has been at the top of many ranked lists for a long time. MySQL is a database by Oracle Corporation, first released in 1995. So, without further ado, let me take you through my list of top 5 databases for 2022. To make things easier for you, I have combined research from these and other websites across the Internet, discussions with my peer group, and my personal experience. It also considers the number of jobs available in the market today for the SQL dialect or understanding of the database. It is not just based on popularity in terms of keywords searched and discussions in tech forums. The list published by made a lot of sense to me upon deep-diving into the research methodologies of various forums. This is only partially inherent in the popularity rating. ![]() While the list makes a lot of sense, it misses out on one perspective – the number of jobs that exist today for the relevant database skill. Stack Overflow surveyed a total of about 74,000 people spanning 181 different nationalities to identify the top-rated databases for 2022. Read on! Top-Rated Databases Across the Internet In this article, I discuss the most popular databases for 2022 and which ones you should consider learning. That said, I understand how confusing all this is, especially if you are just starting your journey.ĭon’t worry. Once you learn the basics of writing SQL queries, it is not very difficult to switch between them. With the growth of SQL and relational databases, there has been a natural increase in related offerings and products. ![]() We offer over 60 SQL courses at various levels of proficiency, starting with SQL basics, through SQL practice to advanced SQL topics. The best way to learn SQL is the interactive online learning platform. Since you need SQL to work with databases, learning SQL is definitely among the first steps towards a career that involves data crunching or use in any way. Countless surveys and blogs have data-related jobs at the top with all the emerging technologies today. Technologies like artificial intelligence, machine learning, data science, and data engineering all rely on some data source somehow. ![]()
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