Big Data Analytics Startup Kyligence Raises $70M In Series D Funding

Kyligence develops an advanced data analytics platform, based on the open-source Apache Kylin analytics engine, that’s capable of performing multi-dimensional analysis on huge volumes of data.

Next-generation data analytics startup Kyligence has closed a $70 million Series D round of funding, the company said Wednesday.

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.

“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. “Kyligence can vastly improve the economics of these platforms via our cloud-native architecture and AI-augmented operations.”

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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. Existing investors Eight Roads Ventures (the proprietary investment arm of Fidelity International Limited), Redpoint and Shunwei Capital also participated.

Kyligence previously raised $48 million in funding, according to the Crunchbase website, putting the company’s total funding at $118 million.

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. The Kyligence system is based on Apache Kylin, a distributed analytics engine for performing multi-dimensional analysis on huge datasets.

The original Kylin technology was developed by the founders of Kyligence at eBay’s China Center of Excellence in Shanghai, China, and contributed to the Apache Software Foundation in 2015.

Kylin’s developers launched Kyligence in 2016 to provide a commercial version of the open-source technology with added capabilities and services. At the system’s core is OLAP (online analytical processing) functionality that pre-aggregates data in multi-dimensional indexes, greatly accelerating queries and data analysis.

“Coupled with a unified semantic layer, Kyligence customers can expect unprecedented performance and concurrency at the least possible cost,” Han said. “Our investors understand that our commitment to this kind of innovation, customer focus, and cost control for cloud analytics has us moving in the right direction.”

In January the company released Kyligence Cloud 4, the first cloud-native release of the Kylin platform.