InnoDB can also be made ACID compliant. InnoDB has specific parameters that allow developers dealing with MySQL or MySQL DBAs to push the engine to its limits-for example, allocating 60-80% of RAM available on the server to InnoDB alone.One of MySQL’s storage engines, InnoDB, is both a high-performance and a high-reliability storage engine.Here’s an abridged list of reasons why that might be the case: The largesse of these problems is typically proportionate to the size of a dataset, so is MySQL even an option in this case? The short answer is yes-it may very well be. Some of the problems that DBAs usually face-as far as any amount of data is concerned-are related to reliability and performance. However, contrary to popular belief, MySQL shouldn’t be so quickly ruled out-in some scenarios, MySQL (or MariaDB) might prove to be even better options for big data than their NoSQL counterparts! In this article, we will explore the things you should consider when answering the question: “Is MySQL a good option for my big data project?” Is MySQL an Option for Big Data? Some of these responses indeed have merit-for example, NoSQL-based database management systems such as MongoDB can certainly be useful when dealing with big data sets. Ask almost any MySQL DBA, and you will hear something like: If you’re a MySQL DBA or a developer that deals with MySQL instances daily, it will probably not come as a surprise if you hear that you should not run big data sets on MySQL.
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