Financial Industry Video Platform



Along with the continuous development of the commercial banking business, more and more applications of the image, such as remote authorization system, customer identification image system, accounting file image system, etc.. The business workflow system based on image platform can improve the service efficiency and improve the service level. At the same time, the financial industry financial agency sales recording system (double recording system), virtual teller machine (VTM) system has distributed management and higher storage requirements of a variety of audio and image data.

This system integrates network technology, image processing technology, OCR identification technology, two-dimensional code recognition technology, workflow technology, data warehouse technology, establish business image management platform, will handle paper documents into electronic documents processing, a complete image acquisition, multiple access, acquisition, implementation of document image indexing, automatic transmission, retrieval, management and the like, so that the systems of data sharing access to resources, so as to save manpower, reduce costs, improve efficiency, risk prevention goal.

Business needs for Image Management in Finance Industry

· The image data is very different from the traditional structured data, which is a typical "massive small file" scene. Image data has the following characteristics:

· A single file is small: the image file is generally about the size of each file in 2~3MB, after compression, the size of about tens of K to several hundred K, the average size is about 100K;

· The total number is large: large number of documents, the size of different banks, different types of business and on-line time, the number of documents in a single business system will tend to reach tens of millions or billions of documents;

· High storage costs: according to the size of the bank and the time on the line, the image system to occupy the storage space to TB, even up to PB level. At the same time, some image files need to be accessed frequently, so the system has a high demand for the I/O of the storage devices, resulting in the high cost of the image platform system, increasing year by year;

· Life cycle management: the ability to manage the life cycle of an image file depending on the business. The image file query access often occurred within 3 months, a year after the possibility of query access is very low;

· Long backup time: when protecting image file data in the image platform, in the case of large data, for all image files’ scan, positioning, copy and other operations, their speed will be greatly slowed down;

· History image file query: because the storage cost is higher, after the enterprise for the image file is not often used in the off-line archive, making history image file query access requires a lot of manpower and cost to complete, but can not guarantee fast response";

· The amount of data is increasing year by year. With the expansion of financial services, the number of outlets is increasing, and the length of the online time is longer, the data volume is increasing significantly. This leads to the increasing demand for the capacity of the production system.


Comparison chart of corporate image system built by Sequoia CM and the old system

SequoiaCM is the Perfect Choice for Image Management

According to the characteristics of image files, Sequoia builds a brand-new distributed storage management platform for the financial industry enterprise image system based on SequoiaCM.


· No longer need to conduct a separate data backup and recovery, reduce the difficulty of operation and maintenance of the system, reduce the investment in disaster recovery;

· Meet the regulatory requirements of the system reliability and data protection, to achieve the basic requirements of PB data files in a given time window to achieve backup;

· The system can be scaling horizontally at any time;

· Reduce the cost of near-line data storage through distributed architecture;

· Realize "automation" and "real-time" access of image files for "offline" archiving.

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SequoiaDB is a financial-level distributed database vendor and is the first Chinese database listed in Gartner’s Magic Quadrant OPDBMS report. SequoiaDB has recently released version 3.0.
SequoiaDB is now penetrating the vertical sector Financial Industry quickly and had more than 50 banking clients and hundreds of enterprise customers in industries including government, telecommunication, Internet and IoT.

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