deepSQL Database Promises MySQL Compliance with Cloud Scalability Nigel Treblin/Getty Images

deepSQL Database Promises MySQL Compliance with Cloud Scalability

Deep Information Science's deepSQL database leverages machine learning to provide a scalable, efficient MySQL-compliant database for the cloud, the company says.

Can you make the most of MySQL and the cloud at the same time? Not if you do things the traditional way, according to Deep Information Sciences. But the company says the newest version of its database solution, deepSQL, delivers a MySQL-compatible database that is also able to scale efficiently with the cloud.

The company announced its newest deepSQL release on Feb. 4. Now, it says, the product has become "the world’s only adaptive, MySQL-compliant database built for the cloud."

By that, Deep Information Sciences means that deepSQL solves what has long been a fundamental limitation of MySQL-like databases. MySQL was designed long before the cloud as we know it came into being. MySQL has long been able to handle clusters and deploy across multiple servers, but it never did so in a particularly efficient way.

There are NoSQL-like databases, of course, which often take better advantage of the cloud. But then you lose MySQL compatibility, or you get it as an add-on that reduces efficiency.

deepSQL, according to its creators, provides the best of both worlds. It's MySQL-compliant and "purpose-built to be cloud-aware and cloud-integrated," according to Deep Information Sciences, because it can leverage machine learning to automate and scale database operations according to shifting variables in the host cloud environment.

"Deep's database automatically and accurately predicts and adapts to incoming resources and workflows without the need for manual configuration," the company says. "Therefore, businesses can avoid the typical challenges that come from a lack of tuning and scaling in the cloud, such as slow response times that lead to a poor user experience, and eventually, lost business and an irreversible loss of customer trust."

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