Data visualization refers to presenting data in the form of charts or maps to help people understand the meaning of these data.
Data visualization big screen is a popular application in the field of visualization at present, which can usually be divided into information display, data analysis and monitoring and early warning. The big screen of data visualization has two main points: the cool display effect; Hierarchical relationship between data. A good data visualization screen is a comprehensive application of layout, color, chart and dynamic effect.
Here are several excellent and representative big-screen tools for data visualization.
Netease has a number (/youdata)
Netease Digital is the next big data visual analysis product of Netease Big Data. Product positioning is not only a big data visualization screen, but also a function in its products. In terms of large-screen production, Netease provides several commonly used large-screen templates, and can also customize large-screen display, which is rich in charts, simple to use and supports local deployment. Saas flagship version is 3,888 yuan per account per year, and local deployment version is 400,000 yuan per year.
As a big data visualization analysis product, if it is only used as a big data visualization screen, it is a bit overqualified. Data modeling and data analysis are the core of this product. The layout color in the big screen is good, but the function like the elastic layer is very tasteless. A significant difference between the big screen and the report is that the big screen needs to be put in, while the report needs to be viewed and operated on the computer. For example, the data drilling layer is a normal demand in the report, but it is a false demand in the big screen release. Who will trigger the big screen to release the drill bomb layer? I hope the product manager of Netease won't spray me when he sees my comments. It is purely personal understanding.
DataV(/product/43570.html)
Datav is Ali's data visualization product. Provides a wealth of large-screen templates and a wealth of charts. It is also excellent in color layout. The product is easy to use and provides two ways to configure the large screen, template-based creation and custom creation.
Datav product design is based on the concept of canvas layer, which is more flexible than the traditional table-based layout and can be covered between charts. At present, the mainstream data visualization large-screen products are all designed based on this model.
Currently, there are four versions of datav. Basic Edition, Enterprise Edition, Developer Edition and Local Deployment Edition.
Basic edition: 8 templates are provided, 5 large-screen projects can be created, regular charts are provided, LAN database is not supported, and the annual cost is 5 1 yuan. Basically used for research and use, the possibility of commercialization is relatively low.
Enterprise Edition: All templates are provided, 20 large-screen projects can be created, charts and maps can be provided, and local area network databases are not supported and need to be purchased separately, at a cost of 5 100 yuan per year. A large-screen project that can be used for applications deployed in Alibaba Cloud. For large-screen projects of applications deployed in other Internet servers or local area networks, local deployment licenses need to be purchased separately.
Developer Edition: The price is 30,000 yuan per year, mainly for developers to upload their own developed components, and they can choose to sell them to Alibaba Cloud after approval. Not applicable to enterprise users.
Local deployment version: the local deployment of datav adopts the mode of "public network style editing+local data configuration". Instead of deploying the datav package locally, you need to design and edit the big screen online, download it locally after editing, start the local data source component package locally, and associate the edited big screen display with the local data source. After the account expires, the online account will be revoked, and the edited big-screen items will not be affected. 6.5438+0.4 million yuan per year, and the renewal fee is 420,000 yuan per year.
Among similar products, Alibaba Cloud datav provides the most abundant large-screen templates with high product maturity. But maybe Alibaba Cloud itself is an Internet company, and its products support Internet-based services or applications very well, especially the services deployed in Alibaba Cloud (home integration service, O(∩_∩)O). However, it is not very friendly or even harsh to support enterprise-level applications that are deployed in the enterprise intranet and provide access services through public network gateways. Not only is the price ridiculously high, but there are also many restrictions on local deployment.
FineReport(/)
Sail soft report tool can also be used to visualize large-screen data. FineRoport is not a B\S architecture application, and its client needs to be downloaded locally (about 300 m). To make a big screen with FineReport, you need to customize the layout according to the layout of the table. Configure the chart elements that need to be displayed in the layout area, and finally adjust the colors. It works well.
FineReport is an excellent reporting tool, but there is no independent big screen component. FineReport is the essence of big screen or report. The table-based layout method obviously lags behind the mainstream large-screen chart configuration method based on layers. FineReport's report is very successful, but in terms of data visualization screen, it has not stepped out of the report pattern, and its technology lags behind similar products.
Sugar (/home)
Sugar is a data visualization product of Baidu, which provides a report+big screen solution. Rich charts, multiple sets of large-screen templates, design mode based on canvas layer, WYSIWYG configuration mode, simple to use, supporting saas services and local deployment. At present, the product is in the public beta stage.
License fee:
30 account: 30 * 3,000 * 0.3 = 27,000/year.
50 account: 50 * 3,000 * 0.3 * 0.9 = 40,500 yuan/year.
80 account: 80 * 3,000 * 0.3 * 0.9 = 64,800/year.
100 account:100 * 3000 * 0.3 * 0.85 = 76500/year.
Unlimited number of accounts: 65438+ 10,000/year
Sugar is my favorite product, which has done well in all aspects and has no obvious shortcomings. If it is not enough, the first is that the number of large-screen templates is relatively small, and the second is that the localization deployment of enterprise-level applications charges annually, and the investment is slightly larger.
SaCa DataViz？ (/)
SaCa DataViz is a data analysis visualization product of chart show. Simple and easy to use, providing rich visual charts, various industry data analysis report templates, and importing in various formats. The chart shows that it has been acquired by Neusoft. Saas service costs 5,000 yuan per year. Allocate 300,000 yuan for each local project.
SaCa DataViz is very similar to Netease, both of which are visual data analysis products. Large screen display is only a part of its function, and the core of data visualization analysis products is visualization analysis, with emphasis on algorithm, performance and accuracy.
Roquete? (/)
Rokect is a data visualization product, which provides a solution of report+big screen+service. What you see is what you get, and the drag-and-drop configuration mode is simple to use; Support multiple data sources; Built-in rich charts and large screen templates; Support template and user-defined two ways to make large plane; The design adopts the mainstream skateboard layer layout. Is an excellent data visualization tool. The one-time cost of local deployment is 200,000 yuan, and the new version is upgraded free of charge for life.
Rocket combines the advantages of several other large-screen data visualization tools and adds practical functions that other data visualization tools do not have. For example, large-screen carousel, large video screen, dashboard rapid inheritance and so on. The quality of super-brand products is lower, and more importantly, the products developed by small teams are better than those of big brand companies in after-sales service and new demand response (the products of big brands will not be customized, which will affect the productization of products). It is a rare data visualization tool for enterprises or development teams that need reports and large screens. It is worth recommending.
In addition to these representative data visualization big-screen tools, there are also some data visualization tools, some of which can also be used for data visualization big screens. Because it is not representative or has some defects, it will not be shared one by one. Those who are interested can study it in depth. For example: Twain, Maker Sticker, Qlik Sense, Run Qian, Digital Hail, etc.