Meet Your AI Copilot fot Data Learn More
Your AI Copilot for Data
Kyligence Zen Kyligence Zen
Kyligence Enterprise Kyligence Enterprise
Metrics Platform
OLAP Platform
Customers
Definitive Guide to Decision Intelligence
Recommended
Resources
Apache Kylin
About
Partners
Kyligence Announces Support for Amazon EMR Serverless
With Kyligence and Amazon EMR Serverless, organizations can process and analyze massive amounts of data at less than half the cost of on-premises solutions
San Jose, Calif. – July 12, 2022 – Kyligence, today announced its Intelligent Cloud OLAP Platform, supports Amazon EMR Serverless, a serverless option from Amazon Web Services (AWS) that makes it easier for data analysts and engineers to run open source big data analytics frameworks. Using automatic on-demand provisioning and scaling capabilities available through Amazon EMR Serverless, Kyligence Cloud cost effectively meets the changing processing requirements across all data volumes.
Amazon EMR Serverless is a big data cloud platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks like Apache Spark and Hive. Amazon EMR Serverless makes it easy and cost-effective for data engineers and analysts to run applications without having to tune, operate, optimize, secure or manage clusters.
Benefits of using Kyligence Cloud with Amazon EMR Serverless include:
“Amazon EMR Serverless is the simplest way for customers to run applications built using open-source big data analytics frameworks in the cloud,” said Luke Han, CEO, Kyligence. “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 cost effective approach.”
About Kyligence
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 multi-dimensional analytics for the cloud data lake. Its AI-augmented engine detects patterns from most frequently asked business queries, builds governed data marts automatically, and brings metrics accountability to the data lake to optimize the data pipeline and avoid excessive numbers of tables. It provides a unified SQL interface between cloud object stores, cubes, indexes, and underlying data sources with a cost-based smart query router for business intelligence, ad-hoc analytics, and data services at petabyte scale.
Kyligence is trusted by global leaders in financial services, manufacturing, and retail industries including UBS, China Construction Bank, China Merchants Bank, Pingan Bank, MetLife, and Costa. With technology partnerships with Microsoft, Amazon, Tableau, and Huawei, Kyligence is on a mission to simplify and govern data lakes to be productive for critical business analytics and data services. Kyligence is dual headquartered in San Jose, CA, United States 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.
Follow Kyligence on LinkedIn and Twitter.
Kyligence Contact: Kim Pegnato 33 Vine Communications pr@kyligence.io
https://www.crn.com/news/software/the-10-hottest-big-data-tools-of-2023/8
Already have an account? Click here to login
You'll get
A complete product experience
A guided demo of the whole process, from data import, modeling to analysis, by our data experts.
Q&A session with industry experts
Our data experts will answer your questions about customized solutions.
Please fill in your contact information.We'll get back to you in 1-2 business days.
Industrial Scenario Demostration
Scenarios in Finance, Retail, Manufacturing industries, which best meet your business requirements.
Consulting From Experts
Talk to Senior Technical Experts, and help you quickly adopt AI applications.