GBase 8a cluster is a distributed parallel database cluster, which faces the computing scale of massive data from 10TB to PB. Its products are mainly used in government, party committees, security sensitive departments, statistics, auditing, banking supervision, securities supervision and other fields, as well as telecommunications, finance, Internet, electric power and other industries with massive business data.
GBase BI, a business intelligence system, uses advanced data visualization technology to meet the needs of all-round reports more intelligently, intuitively and simply, helping enterprises to make full use of data to improve the quality of decision-making and achieve their ideal goals. The security database GBase 8s can strengthen the security storage protection measures for confidential information systems and non-confidential sensitive information, and provide reliable security data management solutions for information-related fields such as party and government organs; Protect the safe storage of sensitive information, such as information related to public safety, personal privacy information and security information unrelated to secret networks.
Directory service system GBase 8d can quickly find and locate massive information application resources, completely control users' access rights to resources, help users to know the resources of the whole network at any time, and play a dual role in managing resources and ensuring access security in information construction.
At the same time, GBase 8d is widely used in PKI/PMI systems such as provincial CA and ministerial CA in China, as well as identity management systems of large enterprises and institutions, and has been applied in the construction of e-government in provinces and cities. The main memory database GBase 8m/Altibase is mainly used in the BOSS/OCS/HB/ABM billing system in telecom industry, the index analysis system in financial industry, the futures option trading system, the network services accessed by large-scale users in Internet industry, real-time processing and so on. And face the application scenarios with high concurrency, short transaction intensive and high requirements for data processing performance.