The Kyligence system is based on Apache Kylin, a distributed analytics engine for performing multi-dimensional analysis on huge datasets. Kyligence, based in San Jose, offers an AI-enhanced analytics platform that’s capable of delivering sub-second query response time against petabytes of data. Kyligence previously raised $48 million in funding, according to the Crunchbase website, putting the company’s total funding at $118 million. Existing investors Eight Roads Ventures (the proprietary investment arm of Fidelity International Limited), Redpoint and Shunwei Capital also participated. The funding round was led by SPDB International with new investors Alpha Square Group, CICC, Gopher Asset Management, Shanghai Growth Capital, PUXIN Capital and Jumbo Sheen Group participating in the round. “Kyligence can vastly improve the economics of these platforms via our cloud-native architecture and AI-augmented operations.” “Today’s cloud data warehouses and data lake analytics are struggling to deliver cost effective analytics as data and user volumes explode,” said Luke Han, Kyligence co-founder and CEO, in a statement. The company said it will use the new funding to “continue powering its global expansion and rapid customer adoption.” The financing will specifically be used to fuel the company’s research and development efforts, especially in developing cloud-native and machine learning technology, the company said. Next-generation data analytics startup Kyligence has closed a $70 million Series D round of funding, the company said Wednesday.
0 Comments
Leave a Reply. |