
Rizhiyi
Rizhiyi making search analysis for professional and complex logs in enterprise information systems into simple and useful search engines.
Date | Investors | Amount | Round |
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N/A | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Series C | |
Total Funding | 000k |
Rizhiyi, operating under Beijing Youtiejie Information Technology Co., Ltd., is a machine data analytics firm founded in March 2014 by Jun Chen. Chen's extensive background, with a Master's in Computer Science from the University of Southern California and senior technical roles at Cisco, Google, Tencent, and as CTO at AutoNavi, provided a strong foundation in data center operations, cloud computing, and big data. This experience was pivotal in shaping Rizhiyi's direction. The company secured its first seed funding in March 2014, followed by a Series A from Sequoia Capital China in 2015, a Series B in 2019, and a Series C round led by Huawei's Hubble Investment in January 2023.
The company's core business revolves around providing an intelligent big data analytics platform that addresses the challenge of managing and analyzing large volumes of machine-generated, unstructured log data. Rizhiyi serves clients across diverse sectors including finance, telecommunications, energy, and internet companies, such as China Minsheng Bank, National Grid, and China Mobile. Its business model includes offering both privately deployed software for large enterprises and a SaaS version for small to medium-sized businesses.
Rizhiyi's product suite is designed to handle the entire lifecycle of machine data, including collection, cleaning, storage, searching, analysis, and visualization. A key differentiator is its proprietary log search engine, "Beaver," developed since 2016 and launched in 2018, which reportedly improves data processing performance by 5-10 times compared to open-source alternatives. The platform also features a unique Search Processing Language (SPL), allowing users to write scripts for complex analysis directly in the search interface. The system offers solutions for IT operations monitoring, security information and event management (SIEM), business analytics, and user behavior analysis. It provides hundreds of pre-built "Apps" or analysis models for various common infrastructure components, making it easier for clients to get started.
Keywords: log management, big data analytics, IT operations analytics, machine data, security information and event management, SIEM, AIOps, log analysis, data visualization, network security, user behavior analysis, Jun Chen, Beijing Youtiejie, Beaver search engine, Search Processing Language, IT monitoring, real-time analytics, threat detection, operational intelligence, compliance auditing, data-driven decision making, cloud security