Kyligence

Kyligence was established in 2016 with dual headquarters in San Jose, CA, and Shanghai, China, building upon the foundation of a noteworthy open-source project. The company's origins trace back to the creation of Apache Kylin, a distributed analytics engine developed at eBay's R&D center in Shanghai in 2013 and subsequently contributed to the Apache Software Foundation. The founding team, including CEO Luke Han and CTO Yang Li, were the original creators of Apache Kylin. Their journey began at eBay's Global Analytics Infrastructure Division, where they experienced firsthand the challenge of performing interactive analysis on massive datasets, leading to the inception of Kylin. This deep background in big data, analytics, and enterprise software at companies like eBay, Morgan Stanley, and Microsoft shaped their vision for Kyligence.

The firm operates in the big data analytics market, providing an enterprise-grade platform for global clients in sectors like financial services, manufacturing, and retail. Its business model centers on offering commercial analytics software and services built upon the open-source Apache Kylin. Kyligence generates revenue by providing an enterprise-ready version of the platform, available both on-premises and on major cloud platforms like AWS and Microsoft Azure, which includes advanced features, enterprise-grade security, and dedicated support. The company has secured significant financial backing, raising a total of $118 million over five funding rounds, with its latest Series D round in April 2021 bringing in $70 million. Investors include notable firms such as Redpoint Ventures, Cisco, Coatue Management, and SPDB International.

Kyligence's core offering is its intelligent Metrics Platform, designed to solve data consistency and performance issues in large organizations. The platform acts as a unified semantic layer that sits between raw data sources (like data lakes and warehouses) and downstream business intelligence (BI) tools. Its key component is a metrics catalog, or metrics store, which allows organizations to define, store, and manage all their key business metrics in a single, governed location. This creates a single source of truth, ensuring that different departments are using consistent definitions for their analyses. A standout feature is its AI-augmented engine, which automates data modeling and learns from user query patterns to optimize performance, delivering sub-second query response times even against petabyte-scale data. By pre-calculating and aggregating data into multi-dimensional cubes, the platform drastically reduces query latency, allowing analysts to use familiar tools like Tableau, Power BI, and Excel for interactive analysis without moving large datasets.

Keywords: data analytics, OLAP, big data, metrics platform, semantic layer, business intelligence, Apache Kylin, data warehouse, cloud analytics, data management, SQL interface, multi-dimensional analysis, data modeling, AI-augmented analytics, petabyte scale, data governance, unified metrics, Kyligence Zen, cloud data lake, enterprise software, financial analytics, retail analytics, manufacturing data