Looker VS IntelliJ DynamoDB
Compare Looker VS IntelliJ DynamoDB and see what are their differences
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking
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Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google BigQuery
IntelliJ DynamoDB
Dynobase.dev
Dynomate.io
Firefoo
DBeaver
DataGrip
Sublime Text
BeatApp
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.
Features: Connect to local or cloud DynamoDB; Browse data in Table, JSON or DynamoDB JSON view, with paginating and filtering fields; PartiQL queries with autocompletion; API operations with autocompletion and documentation; Easily scan or query your data with simple expression DSL; Keep your favorite requests in project or scratch files or bookmarks; Create, Update or Delete items; Export items to CSV, JSON, DynamoDB JSON; Copy tables or Import from CSV, JSON, DynamoDB JSON
Looker IntelliJ DynamoDBNo features have been listed yet.
Based on our record, Looker seems to be more popular. 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
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.
Dynobase.dev - Modern DynamoDB IDE Client. Accelerate DynamoDB workflow with sleek Admin UI, visual query builder, codegen and more! Available for Mac, Windows & Linux.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Dynomate.io - A modern, developer-friendly interface for DynamoDB. Built with SSO, multi-session support, and seamless Git integration.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Firefoo - Gain power over your Cloud Firestore data with a smart GUI