SAN JOSE, Calif., July 13, 2022 (GLOBE NEWSWIRE) — Kyligence today announced that its Intelligent Cloud OLAP platform supports Amazon EMR Serverless, a serverless option of Amazon Web Services (AWS) that makes it easier for data analysts and engineers to run data analytics frameworks. open source big data. With on-demand, automatic provisioning and scaling capabilities available through Amazon EMR Serverless, Kyligence Cloud cost-effectively meets changing processing demands across all data volumes.
Amazon EMR Serverless is a cloud-based big data platform for running large-scale distributed data processing tasks, interactive SQL queries, and machine learning (ML) applications using frameworks. open source analytics such as Apache Spark and Hive. Amazon EMR Serverless enables data engineers and analysts to easily and cost-effectively run applications without having to tune, operate, optimize, secure, or manage clusters.
Benefits of using Kyligence Cloud with Amazon EMR Serverless include:
- Simplified deployment: With compute resources managed by AWS, users do not need to consider the lifecycle of the underlying infrastructure and resources, greatly reducing the complexity of running the application and simplifies the overall architecture.
- Improved cloud performance: With the help of Amazon EMR Serverless to provide dynamic scaling, Kyligence Cloud can scale resources up or down faster, reduce build time, and improve overall analytics performance.
- Efficient operations and maintenance: There is no need to tune, operate, secure, optimize, and create clusters running on Amazon EMR Serverless. The operations and maintenance team can easily perform tasks without in-depth knowledge of the underlying analysis frameworks.
- Cost-effective in the cloud: Serverless Amazon EMR automatically provisions and scales compute and memory resources required by applications; customers only pay for the resources they use.
“Amazon EMR Serverless is the easiest way for customers to run applications built using open source big data analytics frameworks in the cloud,” said Luke Han, CEO of Kyligence. “By running Kyligence Cloud on Amazon EMR Serverless, we can offer an industry-leading data analytics platform for a number of data pipelines, shared clusters, and interactive data workloads – with a more profitable.”
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Kyligence was founded in 2016 by the original creators of Apache Kylin™, the leading open source OLAP for big data. Kyligence offers an intelligent OLAP platform to simplify multidimensional analysis for the cloud data lake. Its AI-augmented engine detects patterns of the most frequently asked business queries, automatically creates governed data stores, and brings metrics accountability to the data lake to optimize the data pipeline and avoid excessive tables. It provides a unified SQL interface between cloud object stores, cubes, indexes, and underlying data sources with an intelligent, cost-based query router for business intelligence, ad-hoc analytics, and petabyte-scale data services.
Kyligence is trusted by global leaders in financial services, manufacturing and retail, including UBS, China Construction Bank, China Merchants Bank, Pingan Bank, MetLife, Costa and Appzen. Through technology partnerships with Microsoft, Amazon, Tableau, and Huawei, Kyligence is on a mission to simplify and govern data lakes to be productive for critical data and analytics services. Kyligence is headquartered in San Jose, CA, USA and Shanghai, China, and is backed by leading investors including Redpoint Ventures, Cisco, Broadband Capital, Shunwei Capital, Eight Roads Ventures, Coatue Management, SPDB International , CICC, Gopher Assets, Guofang Capital, ASG, Jumbo Sheen Fund and Puxin Capital.
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