Synchronized Data Integration for Hybrid Cloud
Flexible. Hyper-Connected. Policy Based.
Why Griddable.io?
Digital business means more data in more places on more platforms connected at ever increasing speed. As database architects accelerate use of public cloud they are constrained by legacy data integration tools, learning rapidly evolving cloud technology, and security concerns. The Griddable.io platform enables data portability for hybrid cloud operations, real-time cloud analytics, and connecting clouds to edge computing while securing private data.
of enterprise workloads will be in the cloud by 2020
(Logic Monitor Cloud Vision 2020 Future of Cloud Survey)
of Oracle users need data synchronization between cloud & on-premise
(Oracle IOUG Data Integration Survey)
of organizations today completely trust public clouds to keep data secure
(Bain & Company Changing Face of the Cloud CIO Survey)
A Smart Grid for Enterprise Data
Griddable.io is a resilient scale-out grid platform that synchronizes data across any topology or database platform on any cloud. A policy engine controls flexible definition of what data is filtered, masked, or transformed in transit. The grid guarantees transactional data is always consistent and recoverable from failures.
Hybrid cloud operations with data portability
Migrate and re-factor databases for cloud-first architecture, or synchronize data with cloud innovation projects. Never be locked-in to a cloud platform, saving as much as 75% of your cloud costs.
Real time analytics in the cloud with consistent synchronized clones
Select and mask data from systems of record to feed big data platforms while transforming data in transit. Safely automate actions for fraud detection or customer engagement while eliminating sprawl of dozens of redundant copies of regulated data.
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Hybrid cloud data integration technology has the potential to save you millions of dollars in operational costs, and 10 times that amount in strategic savings.
David Linthicum, Chief Cloud Strategy Office at Deloitte Consulting
