Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
React Virtualized
Grommet
Blueprint
React Redux
Mantine
Retool
NextUI
visx
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
Looker
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Based on our record, Looker seems to be a lot more popular than React Virtualized. While we know about 14 links to Looker, we've tracked only 1 mention of React Virtualized. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
Can you elaborate on that? https://bvaughn.github.io/react-virtualized/#/components/List This example seems to be able to do 200k+ rows without any problems at all. For me it's smooth up to 10,000,000 even with dynamic row heights. Is there something I'm missing? - Source: Hacker News / over 1 year ago
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Grommet - Build responsive and accessible mobile-first projects for the web with an easy to use component library
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Blueprint - http://bit. ly/bY8LhR Once your keyword research has identified a Site Concept (i. e., theme) and several related ..
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
React Redux - Official React bindings for Redux