Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
StackScan
BuiltWith
Wappalyzer
W3Techs
TheirStack
WhatRuns
Hunter.io
ZoomInfo
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.
StackScan helps businesses find and analyze websites based on the technologies they use or the keywords they target. Instead of manually researching websites one by one, users can instantly search across 100M+ domains and identify sites using platforms like Shopify, WordPress, WooCommerce, Webflow, and thousands of other technologies.
The platform provides practical filtering tools that allow users to narrow results by country, TLD, industry, or specific technology combinations. This makes it useful for building targeted lead lists, researching competitors, discovering niche markets, or identifying companies using certain software stacks for outreach and partnerships.
StackScan also supports bulk data downloads, keyword-based website discovery, and structured reporting to simplify large-scale research workflows. With continuously refreshed datasets and scalable search capabilities, it enables marketers, agencies, analysts, and growth teams to access actionable web intelligence quickly and efficiently.
Looker StackScanNo StackScan videos yet. You could help us improve this page by suggesting one.
StackScan's answer:
StackScan focuses on practical usability, broader stack coverage, advanced filtering, and scalable exports without unnecessary complexity. Users can quickly generate highly targeted datasets using filters like country, TLD, industry, and technology combinations, making research and lead generation faster and more precise.
StackScan's answer:
StackScan combines technology stack discovery and keyword-intent research in a single platform, allowing users to find websites not only by the tools they use but also by what they are targeting online. With coverage across 50,000+ technologies and 100M+ domains, it provides scalable, filterable, and export-ready web intelligence.
StackScan's answer:
StackScan is built for marketers, growth teams, agencies, sales teams, analysts, SaaS companies, and researchers who need structured web intelligence for prospecting, competitor analysis, market research, or technology adoption tracking.
StackScan's answer:
StackScan was created to simplify the process of finding reliable website and technology data at scale. Existing solutions often felt limited, expensive, or difficult to use for targeted workflows, so StackScan was built as a practical and scalable platform that combines technology detection, keyword discovery, and bulk data access into one system.
StackScan's answer:
StackScan is built using modern web technologies, large-scale crawling systems, distributed data processing, and technology fingerprinting engines designed to analyze and structure massive amounts of web data efficiently.
StackScan's answer:
StackScan is used by agencies, SaaS businesses, growth teams, researchers, and data-driven organizations for lead generation, market intelligence, and competitive analysis across multiple industries.
While itโs still in early stage, its lifetime deal is really a great value. Must get if youโre into lead generation.
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: 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.
BuiltWith - Find out the technology behind websites
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
W3Techs - W3Techs provides information about the usage of various types of technologies on the web.
