WANdisco is shaping the future of data infrastructure with its groundbreaking LiveData Cloud Services, making data always available, always accurate, and always protected. Delivering the hyperscale economics that support exponential data growth, WANdisco technology is used by hundreds of Global 2000 companies across many industries as highlighted in the stories below.
"WANdisco LiveData Platform provides consistent data across our cloud and on-premise solutions, offering near-zero RPO and enabling Hybrid Cloud agility to drive the business forward."
Ajay Prasad, Big Data Leader, AMDLearn more
Migrate on-premises data lake to Azure Watch the video to learn how Daimler leveraged WANdisco to migrate their on-premises data lake into Azure and do so without blocking operations in their current production environment.
“The on-premises solution would have been nothing more than a dead end for us, as it would have been too inflexible as well as very expensive.” Guido Vetter, Head of Corporate Center of Excellence Advance Analytics and Big Data, Daimler AG
Envestnet | Yodlee
Upgrading systems with no downtime
To move to a new version of CDH with zero downtime, Envest | Yodlee replicated data across two Cloudera clusters in real time, operating the current and target environments in parrallel before completing switchover.Learn more
The University of Sheffield
Using big data to fight dementia
To drive large-scale analytics workloads, the University of Sheffield securely replicated its medical dataset to the cloud - helping to accelerate diagnosis and improve outcomes for dementia sufferers.Learn more
HM Health Solutions
Protects next-generation healthcare services with an always-on data lake
With WANdisco LiveData Platform ensuring consistent data at its production and DR cluster, HM Health Solutions is achieving its goal of providing advanced AI and ML capabilities to stakeholders across the organization, 24/7.Learn More
Using a global workforce
Juniper Networks enables round-the-clock, round-the-world access to key business data by replicating multiple, distributed Hadoop clusters in the US and IndiaLearn More