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.
Based on our record, Looker should be more popular than GitBook. It has been mentiond 14 times since March 2021. 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: about 2 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 / over 2 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 3 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 3 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 3 years ago
TL,DR: LaunchDarkly is great for B2C companies. Bucket is for B2B SaaS products, like GitBook — a modern, AI-integrated documentation platform. - Source: dev.to / 3 months ago
Addison Schultz, Developer Relations Lead at GitBook, puts it simply:. - Source: dev.to / 3 months ago
Good question that led to insightful responses. I would like to bring GitBook (https://gitbook.com) too to the comparison notes (no affiliation). They, too, focus on the collaborative, 'similar-to-git-workflow', and versioned approach towards documentation. Happy to see variety in the 'docs' tools area, and really appreciate it being FOSS. Looking forward to trying out Kalmia on some project soon. - Source: Hacker News / 8 months ago
You can have both a landing page (e.g.: www.your-project.dev) and a documentation website (e.g.: docs.your-project.dev). For creating documentation website GitBook is better fit than Gitlanding. GitBook is free for open source Projects (you just need to issue a request). - Source: dev.to / about 3 years ago
GitBook is a collaborative documentation tool that allows anyone to document anything—such as products and APIs—and share knowledge through a user-friendly online platform. According to GitBook, “GitBook is a flexible platform for all kinds of content and collaboration.” It provides a single unified workspace for different users to create, manage and share content without using multiple tools. For example:. - Source: dev.to / about 4 years 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.
Docusaurus - Easy to maintain open source documentation websites
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
MkDocs - Project documentation with Markdown.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Doxygen - Generate documentation from source code