Which domestic big data analysis service provider is better?

Domestic BI: Haizhi BDP, smartbi, UFIDA Watch, Fansoft, Run Qian Report, Yonghong Technology, etc.

1, marine BDP

1) These two years have been very popular and appreciated by the industry. BDP aims to help enterprises quickly complete multi-data integration, establish a unified data caliber, support self-service data preparation (ETL), provide flexible, easy-to-use and efficient visual exploratory analysis capabilities, and help enterprises build enterprise insights suitable for their own businesses. BDP can flexibly access and synchronize various data sources, including various database connections, OpenAPI and SaaS platform API, which can meet various business scenarios of enterprises, respond to hundreds of millions of rows of data in seconds, and quickly realize data cleaning, integration and loading, and can be visually analyzed by dragging. Support 30 chart types, such as near data chart, funnel chart, rising sun chart, pie chart, column chart, line chart, word cloud and radar, to make the data more intuitive and beautiful.

2) Enterprise 2) The core value of 2)BDP business data platform is to display and analyze data in an intuitive, multi-dimensional and real-time manner, and to view and share the data in APP in real time, fully activate the internal data of the enterprise, drive performance with data, and adapt to the rapidly changing market. At present, it has also served many customers, covering Internet, fast-moving retail, logistics, medical care, e-commerce, hotels, education SEM and other industries.

3) I have contacted people in their company, and the service attitude is very good, professional and not expensive.

2、FineBI

1)FineBI was launched by Sailing Soft Company a few years ago, which has a good reputation and development in China. Users only need to drag and drop in Dashboard to create various data visualization information, drill, link and filter the data, and analyze the data freely. FineBI is oriented to enterprise IT departments and business personnel, providing self-service data analysis for business personnel under enterprise-level control, helping IT to do data control downwards, making full use of bottom data upwards, and supporting front-end business data applications.

2) The data analysis function is comprehensive and practical, but the product is quite satisfactory, and there are not so many bright spots.

3. Yonghong

1) Yonghong uses sql to process data, and does not support the program interface, thus outsourcing to a third party. Yonghong's technology is mainly divided into big data and visualization. In terms of big data, through the technologies of column storage, distributed computing, memory computing and distributed communication, Yonghong has independently developed a high-performance big data computing engine, which can be used as a data mart for analysis and can realize tens of billions of data calculations in seconds.

2) In terms of visualization, Yonghong hides the complex multidimensional analysis function behind the scenes, and realizes various complex analysis processes through simple visualization operations such as clicking and dragging at the front end.

3) It needs a certain technical threshold, and the interaction is a bit complicated.