FREE REPORT
Big Savings by Migrating to a Quantum-Augmented Database
Quantum Computing is Driving Huge ESG, ARM and Infrastructure Savings!
This technical whitepaper outlines the extensive cost savings by simply migrating from your conventional database to a quantum cloud database.
This technical whitepaper is a must read if your organization is looking for quantifiable savings to your infrastructure budget.
Your infrastructure savings could be even bigger if you have implemented any of the following programs: 1. Environmental, Social & Governance (ESG), 2. Application Rationalization Modernization (ARM).
EXCLUSIVE BOOKS
Our Exclusive Quantum-Augmented Database Book for Executives
Beyond the Asymptote Volume I : How Quantum-Augmented Databases Are Ending the Age of Too Much Data
The data is no longer small. The world's largest enterprises now manage databases measured in the trillions of rows. The curve no longer looks flat. The asymptotic wall is visible, and the cost of running into it is measurable in revenue, patient outcomes, regulatory penalties, and competitive position.
Beyond the Asymptote is the executive case for addressing that cost at the correct level — the architecture level — rather than continuing to compensate for it at the infrastructure level. Cedric Harris brings a rare combination to this argument: the operational credibility of a former Chief Architect at United Airlines who has lived the database performance problem at Fortune 20 scale, and the technical depth of someone who has spent four years rebuilding the database architecture from first principles.
EXCLUSIVE BOOKS
Our Exclusive Quantum-Augmented Database Book for Developers
Beyond the Asymptote Volume II : The Implementation Edition ElephantSqlDB® Integration Reference for .NET, Java, Python, React, Angular, Vue, Node.js, Golang, Ruby & PHP
Database performance has a ceiling. Every engineer who has built a data-intensive system at scale has encountered it - the moment when adding hardware, adding indexes, or adding replicas stops improving the situation, and the latency curve begins its inexorable upward bend. The wall is not a bug. It is the mathematically predictable consequence of building on data structures whose query complexity grows with data volume.
Volume 2 is the developer and engineering companion to the executive case made in Volume 1. Where Volume 1 argues the strategic necessity of the Asymptotic Algorithm category, this book explains what it actually is - in the distributed model, in the cache architecture, in the quantum-inspired search techniques, and in the production deployment that makes it available today.
Volume 2 takes a step by step deep dive into how more than 10 development languages can integrate a quantum-augmented database using the ElephantSqlDB® API.
