At present, it is the leader of domestic data analysis. FineBI is a new generation of self-service BI tools, with many corporate customers and a wide range of services. Multidimensional OLAP analysis is the concentrated expression of the analysis function of BI tools. With FineBI's simple and smooth operation, powerful big data performance and self-service analysis experience, enterprises can fully understand and utilize their own data and enhance their competitiveness.
2. Static pictures (played by people on the stage)
Tableau is one of the market leaders of big data visualization software, which is particularly efficient in providing interactive data visualization for big data operations, deep learning algorithms and various types of artificial intelligence applications. It has built-in commonly used analysis charts and some data analysis models, which can quickly explore data analysis and make dynamic interaction diagrams.
3. Yonghong Agile Bi
The product has high stability and uses sql to process data. Yonghong's technology is mainly divided into big data and visual highlights. It covers BI and big data (massive data, real-time analysis), agile BI, self-service BI, exploratory BI and high cost performance. But it doesn't support the program interface, so it can be outsourced to a third party. Yonghong BI is not bad in product capability, especially in big data performance. It can also support the extraction and analysis of billions of data, but it is average in service.
4. Power BI
Microsoft Power BI is a web-based business analysis tool suite, which is good at data visualization. It adopts CS architecture, and the client and browser used in the main report connection process can edit simple reports. It needs to download msi drivers separately to connect to data sources, instead of the current mainstream JDBC connection method. Operation is basically dragging, but its exploratory analysis ability is limited, which is not suitable for customized development (which does not meet the needs of our integration). The learning cost is low, but the function is simple, and it cannot support complex business scenarios and customized development.
5.SmartBI
Enterprise-level business intelligence application platform allows users to obtain information more intuitively and conveniently. It can satisfy users' self-service data query and report, OLAP, various business reports, make dashboards and display them on mobile terminals, and has a unified service platform to support numerous management and maintenance functions. FineBI and FineBI are both relatively good BI data analysis software in China, but the operating experience is not very good, and the interface is rough, which is not as good as Finebi's interface.
6.Qlikview
It belongs to a new generation of lightweight business intelligence BI products, which is embodied in modeling, deployment and use. Can only run on windows system, C/S product architecture. Dynamic calculation is used in memory, which has small data volume and high speed; When the amount of data is large, the memory consumption is large and the performance is slow. However, at present, QlikView is mainly in the form of agent, with poor localization and customization ability, and does not have the big data processing ability like tableau, so it needs to be docked with data warehouse. It is difficult to support the filling of complex statements in China, and the agent's ability to respond to customers is limited.