Three Shortcomings of MySQL Databases

Limitations of MySQL Databases

E-commerce sites rely on strong databases to accommodate traffic and complete transactions. Because of this, many decision makers are turning toward the cloud to fuel their businesses. Recent research indicates that a vast majority of cloud databases (79 percent) are powered by SQL in either MySQL or NewSQL iterations. But, as many business owners who run their e-commerce platforms on MySQL databases likely know all too well, the relational database management system is not without its limitations—especially when compared to NewSQL databases.

For your online business to be successful, you’ve got to build your e-commerce platform on infrastructure that can accommodate the increasing demands of today’s digital world. As more customers take to the Internet and their mobile devices to make purchases, e-commerce retailers can expect increasing traffic to their sites in the coming years. In fact, the U.S. e-commerce market is expected to reach $304.1 billion this year and grow to $491.5 billion by 2018.

Let’s take a look at three of the limitations of MySQL databases:

It’s more complicated to scale. You can scale MySQL through a process called sharding, where databases are partitioned across multiple servers. But sharding can be extremely difficult, particularly when it comes to rebalancing. As a result, it’s risky, too, because you may lose your data.

It loses functionality when scaling. Once a database is sharded, it loses its relational functionality. It becomes harder to manage relevant data when that data is spread out across multiple disparate databases. Even if you manage that data perfectly, you’ll have to deal with noticeable latency and three times the amount of code.

It’s not as available. MySQL databases are more susceptible to downtime, particularly during failover that results from master/slave replication, and table locking that occurs after schema changes. Correspondingly since it leverages master/slave architecture, MySQL has a single point of failure at the master server. So if the master fails or becomes unavailable, your database administrator would have to manually promote a new slave, manually edit and re-synchronize all of the servers, and re-point the application to the new master. All of this increases your downtime, and risks your data consistency.

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