Recently, big data analysis and data warehouse software giant Teradata (TD) announced that based on the assessment of China's business environment, it will withdraw from direct operations in China. TD is one of the world's largest suppliers focusing on big data analysis, data warehouse and integrated marketing management solutions. It entered China as early as 1997 and occupied more than half of the data warehouse market at its peak, especially in finance and operations. The business sector has a fairly high share. With the background of national innovation, as well as the wave of enterprises migrating to the cloud and the deepening of the implementation of cloud-native data warehouses, the demand for enterprise digital construction has shown obvious changes and trends
Xinchuang and localization have become key words
In recent years, Xinchuang and the degree of localization have become the key considerations and evaluation basis for the digital construction of enterprises. Creating a comprehensive, independent and controllable domestic data service architecture is already a must for the digital construction strategy.
Driven by the internal and external environment and policy levels, giving priority to self-research, reducing dependence on foreign technology and products to avoid "stuck necks", and fully adapting to domestic software and hardware ecology have gradually become new standards for enterprises to choose. It also reflects that the localization process in the field of informatization is obviously accelerating.
Continued recognition of cloud-native benefits
Going to the cloud is no longer in the wait-and-see stage, but has become an irreversible wave: Enterprises have begun to truly feel the advantages brought by the implementation of the cloud-native concept in practice in their respective industries. Many enterprises are turning to cloud deployment and operation, through the reintegration and full utilization of data resources, to achieve cost reduction and efficiency increase.
The concept and practice of migrating to the cloud are not limited to the public cloud level. Companies represented by the financial industry and sensitive to data privacy are also stepping up verification and construction of private cloud platforms. Changes in the basic platform and architecture also affect the above data. The application presents new adaptation requirements.
When eBay initially launched the Apache Kylin project, it was hoped that it could migrate part of the load from expensive proprietary commercial data warehouses such as TD to low-cost and open big data platforms. In the following five years, Kylin was widely used within eBay due to its high performance and high availability, and TD was gradually replaced. Today, Kylin serves millions of queries per day at eBay, and most queries complete within 1 second. Many companies such as Meituan, Ctrip, JD.com, Didi, Xiaomi, Huawei, Dingxiangyuan, OLX Group, Autohome, Xactly, etc. have used Kylin to build their own DaaS (Data as a Service) platform for thousands of analytics The division provides data services.
Founded by the founding team of Apache Kylin, Kyligence is a leading provider of big data analysis and indicator platforms, providing users with enterprise-level business analysis capabilities, decision support systems and various data-driven industry solutions. Kyligence continues to cultivate in Xinchuang, fully embraces cloud-native products and solutions, and will bring more stable support and services for the digital construction of enterprises:
Localization and Xinchuang qualification
The products and solutions of Kyligence meet the requirements of Xinchuang. Kyligence combines the upstream and downstream industrial chains of big data, and actively promotes the adaptation verification with industry ecological partners. Through unified interface and flexible API strategy, it supports ARM architecture, Galaxy Kylin operating system, domestic cloud platform technology, etc. Xinchuang technology ecology has realized the technical verification of mainstream localized software and hardware, and formed supporting industry solutions to meet the needs of many financial institutions and other industry customers in Xinchuang.
In digital construction, enterprises need not only digital tools, but also products and services that can effectively guarantee data security and data privacy. Through Xinchuang certification, Kyligence's products can effectively guarantee the security and privacy of enterprise data while meeting the requirements of national informatization and digitalization construction.
Fully embrace cloud native
Kyligence enterprise-level OLAP (multidimensional analysis) platform product Kyligence Enterprise provides fast access and analysis capabilities to underlying large-scale data for key business decisions of enterprises, improving business agility and accelerating digital transformation. Kyligence's one-stop indicator platform Kyligence Zen provides enterprise-level indicator mid-platform capabilities, assists users in building and managing a unified indicator system based on industry best practices, improves the ability to use business data through automated analysis, and quickly deploys online in a SaaS model to further reduce usage cost. Kyligence's product line covers deployment solutions from public cloud to private cloud, and fully supports:
- Cloud-native elastic scaling can meet the business peak demand while controlling the overall TCO;
- Enterprise-level security, which ensures the security of user data through the authority control of the product itself and the security of the infrastructure itself;
- In terms of high availability, multi-tenant isolation, high throughput, load balancing, etc., it has the same experience as the local deployment version;
- Self-service product experience on the business side, and efficient management and control of resources on the operation and maintenance side.
Kyligence has provided and implemented a complete localized replacement plan which also includes the upgrade of traditional data warehouses, taking the data warehouse construction of a large state-owned bank For example:
The bank uses ultra-large-scale TD and GP traditional data warehouse clusters to support data analysis services, but still faces problems such as limited cluster computing capacity, complex system management, slow data service response time, and weak concurrency capabilities. The independent controllability of the platform technology is weak, and until 2019, the data warehouse architecture will be reconstructed based on the big data platform and the Kyligence enterprise-level OLAP platform will be introduced:
- It not only achieves high performance and scalability, but also well supports important scenarios such as merchant panoramic view, self-service inquiry of corporate deposits, and large-screen display of inclusive finance. way to access;
- The automatic migration of the bank's data warehouse system from the traditional data warehouse to the big data platform is realized by means of automatic tools and configuration, which greatly reduces the manual workload and reduces the risk of migration;
- What is more critical is the steady realization of localization and technology controllability. The technology and products of Kyligence are domestic technologies with complete independent intellectual property rights, and the whole is independent and controllable.
In recent years, with the deepening of digital transformation, this large state-owned bank expects to build a bank-wide digital operation and management platform through index assets to support the operation and management of all levels and business lines of the group, and help organizations obtain timely and accurate business information, Make correct decisions and command, thereby empowering the operation of the war room and the digital management of the whole bank. By using the index platform based on Kyligence products, the bank realized a complete solution that provides unified theme configuration, index management, index processing, and data services for the whole bank, and implemented it in the form of private cloud deployment that matches the requirements of the bank . Not only to ensure compliance, but also to give full play to the advantages of cloud-native resource allocation on demand.
About Kyligence
Founded in 2016 by the founding team of Apache Kylin, Kyligence is a leading provider of big data analysis and indicator platforms, providing enterprise-level OLAP (multidimensional analysis) platform products Kyligence Enterprise and one-stop indicator platform Kyligence Zen, for Users provide enterprise-level business analysis capabilities, decision support systems and various data-driven industry solutions.
Kyligence has served many customers in banking, securities, insurance, manufacturing, retail, medical and other industries in China, the United States, Europe and Asia Pacific, including China Construction Bank, China Merchants Bank, Ping An Bank, Shanghai Pudong Development Bank, Bank of Beijing, Bank of Ningbo, Pacific Insurance, China UnionPay, SAIC, Changan Automobile, Yum China, Starbucks, Anta, Li Ning, AstraZeneca, UBS, MetLife and other world-renowned companies, and reached global partnerships with Microsoft, Amazon Cloud Technology, Huawei, Ernst & Young, Deloitte, etc. Kyligence has received multiple investments from institutions such as Redpoint, Broadband Capital, Shunwei Capital, Eight Roads Capital, Coatue, SPDB International, CICC Capital, Gopher Assets, and Guofang Capital.