Kyligence Cloud overview

Kyligence offers an Intelligent OLAP Platform on the Cloud to simplify multidimensional analytics for cloud data lake. Leveraging cloud-native computing and storage infrastructure, it enables fast, elastic, and cost-effective analytics innovation with any data lake and at any scale.

Kyligence Cloud's AI-augmented engine detects patterns from most frequently asked business queries, builds governed data marts automatically and brings metrics accountability on the data lake to optimize data pipeline and avoid excessive number of tables. With Kyligence Cloud, you can quickly deploy a cloud-native big data analysis cluster in cloud platforms like Microsoft Azure, Amazon Web Services (AWS), Google Cloud, and HUAWEI CLOUD.

The following figure shows the architecture of Kyligence Cloud:

Kyligence Cloud offers you the following core features:

High performance OLAP

Kyligence Cloud provides high-performance OLAP in the cloud, empowering business users with insights into massive data sets, instantly, at anytime, from anywhere.

Available on multi-cloud

Kyligence Cloud takes full advantage of the infrastructure resources of cloud providers, providing the best cloud analytics experience.

Lower TCO

Kyligence Cloud optimizes the cloud environment for the specific needs of self-service analytics scenarios. Enterprise TCO can be lowered by provisioning a cluster to only use necessary resources, on demand.

All-in-one big data analytics

Kyligence Cloud provides an all-in-one solution with Kyligence Enterprise and a visualization layer. Business users can connect, sync data models, and analyze big data online with powerful multi-dimensional operations and visualizations.

Enterprise-grade security

Kyligence Cloud integrates with cloud security infrastructures such as VPC, AD, IAM, RBAC, and more, delivering enterprise-grade security and governance.

For more information, you may visit our website:

Kyligence Inc.

Copyright © Kyligence Inc. all right reserved,powered by GitbookLast Modified: 2022-07-19 17:20:22

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