/PRCWT/Guangzhou, January 18, 2024 - On January 15, Giant SequoiaDB held a release event for new features and open-source projects of SequoiaDB. This event reviewed the development history and technological evolution of Giant SequoiaDB's deep-rooted JSON document database for 12 years, comprehensively interpreted the technical characteristics of SequoiaDB in the four directions of high availability, security, real-time, and ease of use, and announced the open-source plan for the technical community in 2024. This release event is not only a comprehensive introduction to the performance of SequoiaDB, but also a profound review of the development process that has always adhered to the JSON document database kernel as the technical base for more than ten years. Don't forget the way you came, and you will know where to go. The Giant Sequoia Database will also usher in a new chapter at the beginning of the new year in 2024 and start a new journey!
Steady development, increasing industry influence
Looking back, Giant Sequoia Database has gone through twelve years since it developed the core in 2011, established the company in 2012, and launched SequoiaDB v1.0 version in 2013. After 12 years of baptism, Giant Sequoia Database has also made remarkable achievements. At present, Giant Sequoia Database has been applied in the core production business scale of more than 100 large banks and Financial Institution Groups, covering a total of more than 1,000 enterprise users in various industries. In the financial industry, its customer base covers state-owned banks, joint-stock banks, provincial rural credit, city commercial banks, insurance, securities and other Financial Institution Groups. At the same time, it has also actively expanded customers in various industries such as government, automobile, and new energy, winning wide market recognition. More than 50 of them have been in use for more than 6 years, with the longest system running for 9 years. Since its establishment, the company has achieved steady development, its industry influence has continued to increase, and its data volume and business access have maintained a continuous growth trend.
Maintain integrity and innovation, develop JSON document kernel
SequoiaDB uses the JSON document database core as its technical base and provides diversified business and all-round support to many customers through a distributed architecture. It is precisely because of its insistence on technological innovation and insight into market demand that SequoiaDB always adheres to the JSON document kernel and realizes innovative development in continuous iteration.
In terms of JSON basic capabilities, from the initial v1 version, the operation of CURD atomicity and basic ACID support were realized, and the v2 version gradually improved the storage capacity of LOB large objects, marking that Giant Sequoia Database has "multi-modal data" processing capabilities, while supporting stored procedures, aggregated computing and other features. In the v3.0 version, it further provides self-increasing sequence full-text retrieval, time-point-based data recovery and compatibility with some Mongo syntax. Spanning the 4.0 version to the v5.0 version, SequoiaDB strives to improve stable performance, making a lot of optimizations for statistics, access plans, storage, etc., providing functions such as deadlock detection, and is further compatible with the syntax of Mongo 3 and Mongo 4.
In terms of distributed management, from the basic multi-partition native distributed architecture, it gradually provides features such as read-write separation, master-child tables, policy access, multi-center disaster tolerance, and refined disaster tolerance, and continuously enhances distributed capabilities.
In terms of security, it covers various capabilities from basic authentication and encryption to Xinchuang. In addition, the SCM content management engine was launched, focusing on unified data lifecycle management for unstructured data and multimodal data processing.
In terms of ease of use, through the management platform operated by SAC, the convenience of DBA operation and maintenance is comprehensively improved.
Over the past 12 years, Giant Sequoia Database has been continuously updated and iterated based on JSON document-based data bases and distributed architectures, providing enterprises with reliable data processing and storage solutions that help them optimize business efficiency and enhance customer satisfaction.
Extensive application scenarios based on document-based technology
In China and even globally, "CM scenario" is an important and prominent scenario in the application of document-based technology. Based on the urgent need to deal with changeable data structures and huge data volumes, the "CM Content Management Platform" was born, and at the same time greatly promoted the innovation of SequoiaDB technology. Giant Sequoia Database continues to follow up on customer needs, carry out technical iterations, and achieve leapfrog development from 1.0 to 5.0. Giant Sequoia Database provides financial banking customers with a stable, reliable and sustainable expansion of the "CM Content Platform" to become the data infrastructure of the "Bank Imaging Platform" and "Unstructured Management Platform". So far, more than 100 customers have been attracted to use this scenario. It can be said that the application of document-based technology to the "CM Content Management Platform" scenario is one of the most significant achievements of Giant Sequoia Database, and this scenario continues to contribute more than 85% of customers and revenue to Giant Sequoia Database, becoming the main business scenario of the business.
In addition, document databases are also widely used in online business systems, real-time data lakes, IoT fields, and AGI artificial intelligence. JSON's flexible format is suitable for various online business systems, especially for business applications that require rapid iterative development of various APPs. The development of document-based databases can significantly improve the R & D efficiency of the team. In terms of real-time data lakes, Jushu Database has helped many customers build a full-volume historical data platform with the help of JSON's flexible data processing capabilities, supporting real-time high-concurrency data queries across systems and businesses.
Exploring new boundaries of AGI data application based on document technology
The development of AGI general artificial intelligence will further promote the application of JSON document data types (in fact, in this release event, some of the explanations are also synthesized through AI technology).
In traditional AI applications, what needs to be accessed and processed is a large amount of semi-structured "CM content management" data, "dynamic label" data, and various unstructured object data. These are the areas where SequoiaDB has focused and achieved significant results in the past 12 years. The new explosive development of AGI will definitely bring new opportunities and technical challenges to JSON document technology. At present, JSON has been designated as the standard data transmission format for internal and external function calls in the industry's leading Open AI, ERNIE Bot and other large-scale model platforms.
In addition, we can see the critical application of "vector data" in the development of AGI general artificial intelligence, which requires more efficient database processing capabilities.
The storage format of vector data can naturally be expressed in JSON structure, which is very suitable for processing through document databases. However, using vector data alone cannot solve the panoramic problem of business. In the business process, vector data must also be combined with other business data in order to exert its value. Therefore, SequoiaDB is also exploring to provide "vector search" capabilities for document databases, and to provide efficient query capabilities for vector data saved to SequoiaDB. This feature will be available to you in 2024.
It should be noted that we do not need to develop independent vector database products. Instead, based on the JSON document database base technology that has been deeply cultivated for 12 years, we will expand the vector query capability, which will help enterprises drive more data in the physical world, and effectively link with AGI general artificial intelligence to unlock the full value of data.
Four characteristics to unlock the full value of data
Giant Sequoia Database has fully upgraded SequoiaDB based on the JSON document base. This release event fully interprets the four characteristics of SequoiaDB - high availability, security, real-time and ease of use.
High availability: The data processed by document databases includes structured metadata, semi-structured labeled data, and unstructured object data. For large clusters with petabyte-scale big data or hundreds of nodes, the reliability of data, data consistency, and system availability in the face of major disasters are faced with tremendous challenges. Refined disaster recovery can effectively help customers achieve multi-center disaster recovery for these data, thereby improving the high availability and high reliability of the overall system.
Security: Giant Sequoia Database not only balances security and performance technically through national secret algorithms and hardware acceleration, but also provides hybrid deployment capabilities of different chips and operating systems inside and outside the country. This means that Giant Sequoia Database can achieve heterogeneous deployment of clusters, smoothly replace hardware resources, and be fully transparent to upper-level business systems to ensure business continuity.
Real-time: Giant Sequoia Database provides a full data base for enterprises with the schema flexibility of JSON document data structures. DDL's real-time changes, horizontal scaling capabilities, and high-performance concurrent point search capabilities have all overturned the boundaries of traditional ODS data Operation Data Store, enabling ODS to serve real-time businesses and meet the needs of real-time data query for customers and real-time aggregation of cross-business data within enterprises.
Easy to use: Jushu database further enhances the functions of monitoring, alerting and management of SAC. The full stack of data management tools greatly facilitates the management of the DBA, improves the efficiency of problem investigation and simplifies the monitoring and management of the system, thus bringing higher stability and efficiency to the business.
Open and open-source approach a new chapter
At the beginning of the new year, Giant Sequoia Database will also write a new chapter. According to the press conference, Giant Sequoia Database has decided to release an open-source version again in Q1 2024, not only hoping to gain the participation and supervision of community colleagues and make the future development of the product more transparent; at the same time, it also takes historical responsibility and hopes to attract more partners through open-source methods to jointly develop China's distributed document-based database ecosystem, and promote rapid business iteration and development efficiency. In the near future, the source code of the new version of SequoiaDB will be open-sourced again through Gitee, GitCode and GitHub.
