Today, Kyligence announced that it has completed a US$15 million Series B financing led by Stor Capital (“Fidelity International Limited” own investment institution) and followed by the original shareholders Red Dot China, Cisco, Broadband Capital and Shunwei Capital . Previously, the company received millions of dollars in angel round investment in April 2016, invested by Red Dot Capital; then completed a US$8 million Series A financing in April 2017, led by Broadband Capital and Shunwei Capital, and Red Dot China continued to follow up.
Kyligence was established in Shanghai in early 2016. Its goal is to build a Hadoop-based data warehouse and OLAP products.
As shown in the figure below, Kyligence is the data mart /OLAP layer between the big data platform and the presentation layer. The underlying data source comes from Hive, SparkSQL, Kafka, etc., and the upper display layer is a BI product like Tableau. Nowadays, Kyligence also supports traditional data warehouses at the bottom, such as Greenplum, Teradata, etc., as well as startup products, such as even numbers, etc.
Tableau can also directly link the underlying data warehouse. There are several benefits to the reason why there is an intermediate layer:
① When traditional data warehouses such as Greenplum, Teradata, etc. face 10 billion data warehouses, processing and analysis will become slow. Kyligence is a distributed architecture of based on big data, , which is equivalent to the data that enterprises originally imported into Greenplum, and can now be imported into the Kyligence platform for analysis.
②Kyligence is a unified analysis access layer . The upper-level Tableau does not need to connect to different underlying data warehouses one by one. Just directly connect to Kyligence, a standard SQL language. In fact, it can also be understood as the concept of "data middle platform" mentioned by the outside world.
③Kyligence can organize and organize various business analysis models of enterprises in the form of Cube, and uses machine learning and algorithms to preprocess common operations. Enterprises can directly obtain the analysis results when analyzing requests.
Of course, this "preprocessing mechanism" will definitely occupy the storage space of the enterprise, because "is essentially a process of using space to exchange time," said Han Qing, founder and CEO of Kyligence. "We have also done a lot of technical research and development. Assuming that the original data has 100T, now only 20%-30% more space, that is, 20-30T space, 90% of the scenes can be accelerated. Query actions can achieve sub-second delay. When it becomes a read-only system, concurrency will be improved. There is no need to scan and process data from scratch during analysis, and the pre-calculated results can be directly read."
As for different business models, enterprises have existed when they used Greenplum before, and now Kyligence can perform automated migration through historical analysis.
It is reported that Kyligence is currently mainly used in finance, retail, manufacturing, telecommunications and other industries. While customers use Kyligence for new businesses, the old business architecture is also migrating to Kyligence. "So there is both an incremental market and a stock market," said Han Qing. On the
product, Kyligence has recently released Kyligence Enterprise v3.0 and Kyligence Cloud v2.0, with the idea of enhancing data warehouse analysis technology through machine learning and other products. "Compared with the previous generation of query engines, the new version of Kyligence Enterprise can achieve 15 times faster query speeds while saving 50% of storage space." Li Yang, co-founder and CTO of Kyligence, told.
It is worth emphasizing that the members of Kyligence founding team come from famous Internet and data companies such as eBay, IBM, Microsoft, Morgan Stanley , SMG, etc., including many core contributors of Apache Kylin™, and are active in various open source communities . Apache Kylin is the first top project to be fully contributed by the Chinese team to ASF (Apache Software Foundation).
It is understood that Kyligence currently has more than 100 people. Customers that have served include Guotai Junan , Huawei , China Unicom, OPPO, SAIC Group , Pacific Insurance Group, China UnionPay, etc., and there are also multiple customers from the United States. The average customer unit price is in the million yuan level.
After this round of financing, Kyligence will increase product research and development, expand sales market, increase community investment, and at the same time explore international markets such as the United States and Europe.(If you are interested in the company, please click info@kyligence.io for your resume)
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