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Overhauling Apache Kylin for the cloud

Recently, the Apache Kylin community released a major update with the general availability of Kylin 4. Kylin 4 continues the mission to provide a unified, high-performance, cloud-friendly, open source OLAP (online analytical processing) platform. Kylin 4 upgrades the Kylin architecture to make it easy to deploy and scale in the cloud. The new release features three major platform updates and myriad other improvements.

First, Kylin 4 replaces its previous HBase storage engine with Apache Parquet, making it possible to decouple compute and storage for unlimited independent scalability. Second, Kylin 4 unifies the compute engine and removes any previous dependencies on the Hadoop ecosystem. This makes resource allocation much more flexible, resulting in a significant reduction in total cloud resource usage and associated costs. Third, by introducing a brand new, fully distributed query engine, Kylin 4 makes cubing duration and query latency much more performant compared to previous releases.

In this article, we will dive into the details of these new innovations and the new capabilities they enable.

Read the full article here.

About Kyligence
Founded by the creators of Apache Kylin, Kyligence Cloud provides an intelligent analytics performance layer that sits between data sources and BI tools. Kyligence features an AI-Augmented learning engine to ensure peak performance and vastly simplified data modeling. The result is sub-second query response time for BI, SQL, OLAP, and Excel users even against petabytes of data.

Kyligence is headquartered in San Jose, CA. Investors include Redpoint Ventures, Cisco, China Broadband Capital, Shunwei Capital, Eight Roads Ventures (the proprietary investment arm of Fidelity International Limited), and Coatue Management. Kyligence serves a global customer base that includes UBS, Costa, Appzen, McDonald’s, L’OREAL, Porsche, Xactly, China Merchants Bank, and China Construction Bank.

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