Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
PostalDataPI
Smarty
Melissa Data Quality
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.
PostalDataPI is a global postal code validation and enrichment API covering 240+ countries and territories. One API, one key, one flat rate โ $0.000028 per query with no tiers or subscriptions.
What you get back: Up to 18 metadata fields per postal code โ city, state/region, coordinates, timezone, three levels of administrative hierarchy, elevation, and more. Sub-5ms cached responses.
Works everywhere: US ZIP codes, UK postcodes, German PLZ, Japanese postal codes, Canadian FSAs, and 230+ more. Format normalization handles case, spacing, and hyphen variations automatically.
Get started in 60 seconds: 1,000 free queries on signup, no credit card required. SDKs for Python and Node.js. MCP server for AI agents (Claude, Cursor, etc.).
Built for developers: REST API, consistent JSON responses across all countries, OpenAPI spec, llms.txt for AI agent discovery.
Looker PostalDataPIBased 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: 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 / over 3 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
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.
Smarty - Smarty provides address validation, autocomplete, geocoding and reverse geocoding services covering addresses in over 240+ countries.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
