Shulou(Shulou.com)06/03 Report--

In this era of big data, there are many BI products on the market, which are efficient data analysis and presentation service platforms for enterprises and individuals, carrying the capabilities of data connection, data processing, data analysis and visualization. Domestic well-known FineBI occupies a large market share, and has a solid foundation, has a certain reputation and development, other later products such as Yonghong BI QuickBI has a good performance and their own bright spots.

FineBI has built-in rich diagrams that do not require code calls and can be directly dragged and generated, including some data mining models. It can be used for rapid analysis of business data, making dashboard, and building a large visual screen. In terms of performance, it is relatively stable and adaptable. Function in the simple drag-and-drop operation, the production of graphics; automatic modeling; short learning cycle, etc., in fact, domestic BI products basically have such functions, so it is not an advantage, generally speaking, FineBI is a regular, cost-effective product.

Yonghong bi's products are characterized by Bamp S architecture, no desktop version, the official website demo effect is very good, the business process is perfect, giving people a professional feeling.

There are many kinds of data access supported by the product, and the query logic of the data set is relatively simple, which can solve the enterprise demand with large amount of data, and the service response is very good.

Unfortunately, the price is a little expensive, the front-end technology uses flex development, the integration and scalability are not very good, the visual effect of UI is general, and the overall visualization effect is not modern enough.

The most important feature of QuickBI is that it has the support of online spreadsheet function in the process of data report making, which can indeed help many enterprises to reduce the probability of data localization in the introduction of data analysis. after all, in our country, except for professional data analysts, most of the others are using Excel. Online spreadsheets can not only reduce the repetition of work, but also continue the operation experience of Excel, and ensure the data security problems caused by human operation.

QuickBI also performs well in permission control, including group space, spatial roles, data set field-level permission settings, and multi-tier control to ensure data security and maximum cooperation. The row-level permission setting supports label authorization, avoiding a large number of one-by-one operations based on the number of users.

As a product under Aliyun, QuickBI is not only compatible with mainstream databases, but also better compatible and adaptable to other databases. Local file upload supports two file types: csv and Excel. The uploaded file will land on an official data source provided by Quick BI: the Discovery Space. Exploring the bottom layer of the space relies on a MPP SQL engine developed by Aliyun, which provides storage + computing services.

However, in addition to local deployment, QuickBI can be purchased directly on the official website. The price ranges widely and the versions vary greatly, so you need to take a good look at which one is the most suitable for purchase.

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