Kyligence, a Big Data Analytics Startup, Raised $70M in Series D Funding.



Kyligence is a data analytics company that develops advanced data platforms based on Apache Kylin, an open-source analytics engine. It’s capable of performing multi-dimensional analysis on large volumes of data.

Kyligence, a next-generation data analytics startup, announced Wednesday that it had closed a Series D round of funding for $70 million.

According to the company, it will use the funding to “continue driving its global expansion” and to accelerate customer adoption.

Kyligence CEO Luke Han stated that today’s data warehouses and lakes fail to provide cost-effective analytics as users and data volumes increase. With our cloud-native architecture and AI-augmented operations, Kyligence can significantly improve the economics of these platforms.”

SPDB International led the funding round with new investors CICC, Alpha Square Group, and Shanghai Growth Capital. PUXIN Capital and Jumbo Sheen Group also participated in the round. Existing investors Eight Roads Ventures, Redpoint, Shunwei Capital, and Shunwei Capital participated.

According to Crunchbase, Kyligence raised $48 million in funding. This puts the company’s total budget at $118 million.

Kyligence is a San Jose-based AI-enhanced Analytics platform. It can deliver sub-second query responses against petabytes. The Kyligence system uses Apache Kylin as a distributed analytics engine to perform multi-dimensional analysis on large datasets.

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

Kyligence was launched by Kylin’s developers in 2016 as a commercial version of open-source technology. It offers additional capabilities and services. The system’s core functionality is OLAP (online analytic processing), which pre-aggregates data into multi-dimensional indexes. This dramatically accelerates queries and data analysis.

Han stated that Kyligence customers could expect unparalleled performance and concurrency combined with a unified semantic layer. “Our investors know that we are moving in the right direction because of our commitment to innovation, customer focus, and cost control for cloud analytics.

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