![]() MariaDB stores JSON reports in strings, while MySQL stores them as binary objects. However, they store JSON reports in different ways. MariaDB and MySQL support the retrieving and storing of JSON data. ![]() which can be used as replacement for the MySQL Server (with lesser risks for you and your customers.)Ī switch to and another DBMS like PosGres or FireBird ( which I also would prefer) may need adaptions in your program. Here are the significant differences between MySQL and MariaDB. MariaDB is a fork of MySQL with a better licence. (In this case olso the client dll must be excluded from your program) If the Server is beeing installed by your customers und you "only" use a existing installation then your customers may need a licence. Is this the case you need a commercial licence (as long as your application isn't GPL). So they may interprete the licences more strictly than others. "Oracle doesn't care." - does this mean my interpretation of the GPL v2 is wrong ie Oracle COULD make us pay the commercial license even though my customer would only be using it internally? or does this mean "Oracle doesn't care so all is well, I can use it " ? "Better use MariaDB" - why do you say that? ".is much more potent than." - potent is a strange adjective to use here : it would be great if you could expand on what you mean by "potent". And that's one of the things that frustrates me, actually, about blogging or just the Internet in general.Kinzler Thanks for your advice. MySQL is the only database I've ever programmed against in my career that has had data integrity problems, where you do queries and you get nonsense answers back, that are incorrect. Joel also said in that podcast that comment would come back to bite him because people would be saying that MySQL was a piece of crap - Joel couldn't get a count of rows back. Which it probably doesn't, so just pick whichever database you like the sound of and go with it better performance can be bought with more RAM and CPU, and more appropriate database design, and clever stored procedure tricks and so on - and all of that is cheaper and easier for random-website-X than agonizing over which to pick, MySQL or PostgreSQL, and specialist tuning from expensive DBAs. It's astonishing how expensive good DBAs are and they are worth every cent. If it really matters, test your application against both." And if you really, really care, you get in two DBAs (one who specializes in each database) and get them to tune the crap out of the databases, and then choose. Despite having a similar structure, both relational database management systems have different features and elements. So if your decision factor is, " which is faster?" Then the answer is "it depends. 7min Read MariaDB vs MySQL Key Differences, Pros and Cons, and More In website development, a database holds a vital role in storing and managing data, with two of the most popular databases being MySQL and MariaDB. After reading all of the collected data, you can find our conclusion below. It goes on to link to a number of performance comparisons, because these things are very. Executive Summary Updated on We performed a comparison between MariaDB and Oracle Database based on our users’ reviews in four categories. PostgreSQL is relatively slow at low concurrency levels, but scales well with increasing load levels, while providing enough isolation between concurrent accesses to avoid slowdowns at high write/read ratios. ![]() On the other hand, it exhibits low scalability with increasing loads and write/read ratios. There's this discussion addressing your "better" questionĪpparently, according to this web page, MySQL is fast when concurrent access levels are low, and when there are many more reads than writes. PostgreSQL is a much more mature product. ![]() MySQL is much more commonly provided by web hosts. Software can change rapidly from version to version, so before you go choosing a DBMS based on the advice below, do some research to see if it's still accurate. That's nearly 11 years ago as of this edit. A note to future readers: The text below was last edited in August 2008. ![]()
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