Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google BigQuery
csvbox
Flatfile 3.0 – Embeds
Flatfile
OneSchema
DataFlowMapper
DolphinCSV
Layercode UseCSV
nuvo
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 csvboxBased on our record, Looker should be more popular than csvbox. 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
CSXBox is particularly beneficial for companies requiring support for larger files (up to 500,000 rows) and needs a reliable platform that can manage such volume without the associated cost. It enjoys “fast” import speeds, claiming that users can enjoy a “production-ready data importer in minutes, not weeks.”. - Source: dev.to / 11 months ago
You might be better off with something like https://csvbox.io/. - Source: Hacker News / about 3 years ago
As a solution I built the csvbox.io import widget. Its a no code, drop-in widget that allows you to accept files in minutes. Users can upload files, match columns, validate data all in a few clicks. You receive ready to use data in your app. A better experience for your customers, fewer headaches for your team! Source: almost 4 years ago
Show HN: Csvbox.io – CSV import button for a web app, SaaS or API\ (16 comments). Source: 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.
Flatfile 3.0 – Embeds - Meet Flatfile 3.0, the fully re-imagined platform for onboarding customer data into your product.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Flatfile - The new standard for data import
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
OneSchema - Import customer CSV data 10x faster
