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Looker VS StackScan

Compare Looker VS StackScan and see what are their differences

Looker

Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Rating
0 reviews
Alternatives Is it good?
StackScan

Discover the tech behind the web. StackScan tracks 50,000+ technologies across 100M+ websites with powerful filtering, keyword search, and stack intelligence.

Rating
5.0 · 1 review
Pricing
Paid $39 / Monthly
Alternatives Is it good?
meetergo
GDPR-compliant meeting scheduling hosted in Germany. Booking pages, built-in video calls, lead routing, CRM and payments in one tool, with all data stored in Frankfurt and a data processing agreement (DPA/AVV) included. sponsored

Which is more popular?

Based on our record, Looker seems to be more popular. It has been mentioned 14 times since March 2021.

social mentions
14 vs 0
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 30

Base details

Website, pricing, platforms and company facts side by side.

Looker
StackScan
Website looker.com stackscan.com
Pricing
Official pricing
Paid $39 / Monthly Official pricing
Company Startup from the United States Startup from Canada · 10 - 19 employees · 2026
Listed in
Business Intelligence Data Analytics Data Visualization Data Dashboard +1
Lead Acquisition B2B SaaS B2B Lead Lists Business Intelligence Business Growth Tools Lead Generation Sales Sales And Marketing Lead Management Marketing Platform SaaS +9

About Looker and StackScan

In their own words, as submitted to SaaSHub.

Looker
StackScan

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...

Read more about Looker

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,...

Read more about StackScan

Features and specs

What each product offers, as listed by its team.

Looker 6 features
StackScan 5 features
  • Powerful Data Modeling
    Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
  • Ease of Use
    Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
  • Customization
    Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
  • Embedded Analytics
    Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
  • Real-time Data
    Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
  • Integrations
    Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages

  • Learning Curve
    LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
  • Cost
    Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
  • Performance
    Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
  • Customization Constraints
    While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
  • Limited Offline Capabilities
    Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.
  • Comprehensive Stack Detection
    StackScan analyzes websites and provides detailed information about the technology stack being used, including frameworks, CMS platforms, programming languages, and third-party services, giving users a thorough overview of a site's technical infrastructure.
  • Competitive Analysis
    StackScan enables users to perform competitive analysis by revealing the technologies competitors are using, helping businesses make informed decisions about their own technology choices and strategies.
  • Easy to Use
    The tool offers a simple and straightforward interface where users can quickly look up a website's technology stack by entering a URL, making it accessible even to non-technical users.
  • Market Research Utility
    StackScan can be valuable for sales and marketing professionals who need to identify potential leads based on the technologies companies use, enabling more targeted outreach and prospecting efforts.
  • Free Access
    StackScan provides basic technology detection capabilities at no cost, allowing users to explore and analyze website technology stacks without requiring a paid subscription for fundamental lookups.

Analysis

An editorial look at what each product does well and who it suits.

Looker
StackScan

Overall verdict

  • Looker is generally considered a robust solution for organizations looking to enhance their data-driven decision-making capabilities. Its flexibility, extensibility, and ease of use make it a strong contender in the BI space, though it may require some learning and setup effort to fully utilize its features.

Why this product is good

  • Looker is a data analytics platform that provides powerful tools for data exploration, visualization, and business intelligence. It offers a user-friendly interface and is known for its ability to connect to a wide variety of data sources. Looker's LookML, a modeling language, allows users to define data relationships and calculations, making it easier to create custom reports and dashboards. Additionally, it integrates well with other tools and supports collaboration with data teams.

Recommended for

  • Companies seeking scalable and flexible business intelligence solutions.
  • Organizations that need to integrate multiple data sources.
  • Teams looking for a collaborative platform with custom reporting capabilities.
  • Users who prefer a code-based approach to data modeling and analysis.

Overall verdict

  • Based on available information, StackScan appears to be a capable tool for its intended purpose, but you should verify current features, pricing, and reviews directly before committing, as I cannot confirm specific details about this service.

Why this product is good

  • Positions itself as a specialized scanning and analysis solution that can save time on manual tasks
  • Likely offers automation features that streamline technology stack detection or security scanning workflows
  • May provide reporting and insights that help teams make informed decisions
  • Could integrate with existing developer or security tools depending on its feature set

Recommended for

  • Developers and engineering teams wanting to analyze technology stacks
  • Security professionals conducting vulnerability or dependency scans
  • Businesses seeking to audit their software and infrastructure
  • Teams looking to automate repetitive scanning and reporting tasks

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
StackScan 0 videos + Add

Looker Review

More videos

  • - How To Use Looker as a Business User
  • - Looker Review - Off The Shelf Reviews

No StackScan videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Looker
StackScan
100% 100%
Data Dashboard
0% 0%
0% 0%
Lead Acquisition
100% 100%
99% 99%
Business Intelligence
1% 1%
0% 0%
B2B SaaS
100% 100%

Questions & Answers

As answered by people managing Looker and StackScan.

Why should a person choose your product over its competitors?

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.

What makes your product unique?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

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.

Who are some of the biggest customers of your product?

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.

User comments

Share your experience with using Looker and StackScan. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Looker no reviews yet
StackScan 5.0 · 1 review

View more

  • Amazing deal
    SaaSHub review
    · May 2026

    While it’s still in early stage, its lifetime deal is really a great value. Must get if you’re into lead generation.

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Looker 14 mentions
StackScan 0 mentions
  • edit home page to add folder section
    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... Source: over 3 years ago
  • Stars, tables, and activities: How do we model the real world?
    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... - Source: dev.to / almost 4 years ago
  • dbt for Data Quality Testing & Alerting at FINN
    We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago

View more

Tracking StackScan since May 2026.

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