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Kyligence's Cloud allows users to create fast, flexible, and cost-optimal big data analysis applications on a data lake that is based on cloud-native computing and storage. Kyligence supports Amazon AWS, Microsoft Azure, HUAWEI CLOUD, and Google Cloud platforms.
Cloud-based data warehouses provide unparalleled elastic scaling, disaster recovery, and almost unlimited storage capacity at low total cost of ownership (TCO). Kyligence's cloud-native architecture satisfies the needs of enterprises in terms of high availability, multi-tenant isolation, high throughput, load balancing, and low monitoring and O&M workloads, ensuring your enterprise is prepared to embrace that future.
Kyligence's cloud-native architecture improves the elasticity of your computing resources. You can scale them in or out at any time and, if necessary, suspend all computing nodes.
With a technical architecture optimized for a lower TCO, Kyligence helps your enterprise reduce unit costs. You can use computing resources on-demand and pay only for the service you use on a pay-as-you-go basis.
Kyligence enables the powerful OLAP of massive datasets in the cloud to help your business users generate instant insights anytime, anywhere.
Delivering enterprise-grade security, Kyligence provides multi-level data backups, recovery mechanisms, and row and column-level data controls, ensuring all-around security for your enterprise's data operations.
Learn the evolution of cloud analytics, and how you can achieve performance, efficiency, scalability, and security for your data engineering and analytics workloads on the cloud.
Learn how our intelligent OLAP Platform simplifies multi-dimensional analytics for cloud data lakes.
Help your business go from data to insight faster than ever with this guide to updating your IT and analytics environment in the age of Big Data.
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