Self-tuning, MySQL-compliant solution delivers blazing performance at extreme concurrency, ensuring businesses can capitalize on growing and unexpected data demands

Deep Information Sciences, the company that reimagined MySQL for the on-demand economy, today announced the deepSQL adaptive database, the only MySQL-compliant database with built-in cloud- and resource-awareness. The standalone, self-tuning solution uses Deep’s machine learning technology, re-imagined data science and dynamic elasticity to deliver blazing performance at extreme concurrency without human intervention. deepSQL allows companies to easily meet real-time customer demands while providing the automated scalability to capitalize on unforeseen business surges. When combined with popular cloud automation frameworks or PaaS platforms, the result is a highly responsive and intelligent data cloud.

Powering the On-Demand Economy
The on-demand economy requires lightning speed, adaptability, and 24/7 availability. When applications are unavailable or sluggish, user experience and brand image become damaged, business slows and revenue is lost. Private and public clouds, which allow organizations to run with utility-like efficiency, are supposed to help these situations but databases, which are the heart of applications, get in the way. While cloud infrastructure can expand and contract, today’s databases are monolithic. They can’t adapt in real-time, they require service interruptions and their performance worsens as concurrency and traffic increases—until now.

“deepSQL is the only resource-aware database designed for autonomic operation, and it completely changes the game for data in the cloud,” said Chad Jones, Chief Strategy Officer, Deep Information Sciences. “With its adaptive technology, automated, DBA-less tuning and extreme scalability, deepSQL makes it easy for applications to scream, operations to be highly responsive and businesses to thrive. The more traffic, and more complex the queries, the more deepSQL shines, and because it is MySQL compliant, existing applications can take advantage of it without changes.”

“deepSQL is ideal for our researchers who work with complex scientific data sets and want to accelerate their queries. They aren’t database experts and don’t want to spend any time tinkering with them,” said Paul Van Der Mark, interim director for Florida State University’s Research Computing Center. “deepSQL is incredibly easy to use, its auto-tuning does all the heavy lifting without going offline, which thrills our researchers, and it delivers queries that are up to 100 times faster than MySQL’s InnoDB—whether in physical, virtual or cloud environments. Thanks to deepSQL, we can offer high performing database-as-a-service at minimal cost.”

“Elastic scalability is the key to meeting the always-on data requirements of the digital economy,” said Sam Ramji, CEO, Cloud Foundry Foundation. “deepSQL is an innovative high-scale data storage for applications, and matches the design goals of Cloud Foundry’s high-scale cloud application platform. We expect to see a highly performant environment that automatically adapts to continuously changing demand. We’re excited to see this innovation in database services join the global Cloud Foundry ecosystem.”

deepSQL Database Highlights
deepSQL is a 100 percent MySQL-compliant, resource-aware and self-tuning database built for complex data environments and supports Hybrid Transactional / Analytical Processing (HTAP). It leverages machine learning and autonomic operations to deliver unprecedented speed, scale and agility in physical, virtual and cloud environments.

• Lightning-fast HTAP Performance at Scale
  deepSQL customers increase complex query speed by 2x-7x, even during extreme concurrency, while boosting data ingest up to 50x and transactions by 64x. deepSQL instances scale into hundreds of billions of rows and has been proven at 1.2 trillion rows. deepSQL’s out-of-band compression delivers up to 80 percent reduction in disk footprint while increasing performance.
• Architected for Complex Environments
  deepSQL understands the nuances of the individual host and maximizes scalability by reducing IOPS by 80 percent. Deep accelerates replication across partners as well as maximizes tenant density by 32 percent while eliminating multi-tenant issues such as the “noisy neighbor” challenge. The more complex the data environment, the more deepSQL shines.
• Online Dynamic Resource Allocation
  deepSQL’s machine learning-based adaptive architecture understands and leverages all aspects of cloud, virtual and physical host resources such as CPU, memory, disk, network and more. Dynamic Resource Allocation makes deepSQL instantly aware of host resource changes, enabling the database to add or remove capacity on-the-fly. This capability is supported on platforms that can provide hot resource add/remove such as VMware ESXi, KVM, Linux Containers and Docker (with imminent patch).
• Continuous Backup and Instant Recovery
  deepSQL simplifies backup, archiving and off-site disaster recovery. File block changes are synched to a remote file share and, in the event of a crash, spin up another instance of deepSQL and mount the files, bringing the system back up and running in just minutes. deepSQL is ‘time machine-capable,’ as it supports host disk snapshots, allowing you to roll forward and back in data history.
• Powering Database-as-a-Service
  deepSQL supports cloud automation frameworks such as VMware vCloud Director, Vagrant and Chef, enabling integration into private, public and hybrid cloud infrastructures. Support for PaaS platforms such as Cloud Foundry is coming in Q1 2016.

Pricing and Availability
deepSQL database is available immediately via download on www.deepis.com/downloads and on Amazon Web Services and IBM SoftLayer. The Community Edition of deepSQL is free to developers and businesses with less than $1 million revenue. Deep also offers deepSQL Engine, which slides under MySQL and replaces the existing engine. See https://deepis.com/Deep-Engine-Licensing for pricing details.

Source : Deep Information Sciences
with Business Wire