1. FineBI

Currently the leader in domestic data analysis. FineBI is a new generation of self-service BI tools, enterprise customers, a wide range of services, multi-dimensional OLAP analysis is a BI tool analytical function of the concentration of the performance of the BI tool, by virtue of the FineBI simple and smooth operation, strong With FineBI's simple and smooth operation, powerful big data performance and self-service analysis experience, enterprises can fully understand and utilize their data to enhance their competitiveness.

2. Tableau

Tableau is one of the market leaders in big data visualization software, and is particularly effective at providing interactive data visualizations for big data operations, deep learning algorithms, and many types of AI applications. It has built-in commonly used analytic charts, and a number of data analysis models that allow for rapid exploratory data analysis, and can quickly make dynamic interactive diagrams.

3. Yonghong Agile BI

This product is more stable and utilizes sql to process data. Yonghong's technology is mainly divided into big data and visualization highlights. Coverage of BI and big data (massive data, real-time analysis), agile BI, self-service BI, exploratory BI, cost-effective. However, it does not support program interfaces, and the implementation is handed over to third-party outsourcing. Yonghong BI is not bad in terms of product capabilities, especially in terms of big data performance, the same can support the extraction and analysis of billions of dollars of data, while in terms of service performance is average.

4. Power BI

Microsoft Power BI is a Web-based business analytics suite of tools, good at data visualization, the use of the CS architecture, the main report connectivity process using the client, the browser side of the simple report editing. report editing. Its connection to the data source need to download a separate msi driver , rather than the current mainstream JDBC connection. Operation is basically drag and drop , but its exploratory analysis capabilities are limited , not suitable for customized development ( this does not meet the needs of our need for integration ) . Learning costs are low to get started quickly , but the function is simple , can not support complex business scenarios , does not support customized development .

5. SmartBI

Enterprise-level business intelligence application platform, users can more intuitively and conveniently access information. Can meet the user self-service data query and reporting, OLAP, a variety of business reports, production of dashboards, display on mobile terminals, a unified service platform to support the many management and maintenance functions. And FineBI with a relatively good domestic BI data analysis software, but the operating experience is not very good, the interface is rough, and not FineBI interface is beautiful.

6. Qlikview

Belongs to a new generation of lightweight business intelligence BI products, embodied in the modeling, deployment and use. Can only run on windows, C/S product architecture. The use of memory dynamic computing, the amount of data is small, very fast; data volume is large, eat memory is very powerful performance is slow. However, at present, QlikView is also an agent of the form of the main, localization and customization capabilities are poor, and tableau as no big data processing capabilities, the need to dock the data warehouse. It is difficult to support the domestic complex report filling, etc. In addition, the agent's ability to respond to customers is limited.