Deep Information Sciences, the company that reimagined MySQL for the New Economy, today announced Docker support for DeepSQL, delivering the only solution that enables companies to deploy ultra-high performant and massively scalable self-optimizing MySQL databases, on-demand, across private and public clouds. The fully supported DeepSQL Docker image is available immediately via free download at www.deepis.com/downloads. This announcement comes on the heels of Deep’s recent launch of DeepSQL on Amazon Web Services.

Docker abstracts Operating System complexities, vastly simplifying and speeding image deployment. However, until now, any MySQL databases it contained not only suffered from harsh performance and scalability limits, they had to be continually and manually re-configured to accommodate changes, which slowed business considerably. Deep solved this with the new Docker image for DeepSQL, the industry’s only relational database that leverages machine learning to continuously adapt to changing Docker virtualized resources and data conditions. DeepSQL automatically optimizes the database for ultra-high performance and scale, without any intervention by DBAs.

“Like Docker, DeepSQL was architected for the New Economy, where businesses must compete in a world that’s constantly moving and changing. Not only does DeepSQL empower the databases underlying applications to adapt on-the-fly, it delivers performance that is 50 times faster, even with massive big data sets,” said Chad Jones, Chief Strategy Officer, Deep Information Sciences. “Now, by offering DeepSQL in a containerized Docker image, we’re making it even easier for companies to accelerate their business. With DeepSQL Docker instances deployable in less than nine seconds, enterprises and service providers alike can quickly turbo-charge existing databases, test and roll-out new MySQL-based applications, reliably move high-performant databases around shared infrastructure, and create enterprise-grade Database-as-a-Service offerings that instantly adapt to any and all changes.”

DeepSQL is an adaptive database kernel and information orchestration system that leverages machine learning to evolve MySQL’s foundation. Implemented as a plug-and-play engine, DeepSQL turns MySQL into a perpetually adapting database. It delivers unprecedented speed, scale and flexibility, without requiring a single change to any application. Businesses no longer have to focus precious resources on constantly tuning the database for a point-in-time workload requirement. Furthermore, Deep’s ability to hyper-index changes the way businesses look at application performance.

The DeepSQL Docker image is fully compatible with Oracle’s MySQL Docker interface, making it instantly familiar to users. DeepSQL’s adaptive approach enables Docker users to:

• Spin up DeepSQL instances in Docker in nine seconds or less, and dynamically scale up or down
• Enhance Database-as-a-Service offerings by enabling them to perform at much greater speed across multiple workloads
• Reduce IOPs for a given workload by 80 percent
• Realize 60x faster data ingest with indexing
• Reduce storage footprint by up to 90 percent without sacrificing performance, using out-of-line data compression
• Achieve 50x greater performance by minimizing locks and wait states to maximize CPI throughput
• Handle both OLAP and OLTP workloads even at extreme scale (i.e., 1 trillion rows), with millisecond level response times.