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FriendlyData VS Storeradar.io

Compare FriendlyData VS Storeradar.io and see what are their differences

FriendlyData

Communicate with databases like a human

Rating
0 reviews
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Alternatives Is it good?
Storeradar.io

Download the entire Shopify store database as a single CSV. 2.5M stores, 1.9M emails, 190K phone numbers, full tech stack. One-time $149. No subscription.

Rating
0 reviews
Pricing
Paid Free trial $149 / One-off ("2.5M Shopify Stores", "1.9M emails", "190K phone numbers")
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Alternatives Is it good?
Jaah
Jaah is Just Another Agentic Harness, for production-grade AI-generated code. Coding agents write the code. Jaah makes it production-grade. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

AI popularity
100% vs 0%
alternatives listed
16 vs 10

Base details

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

FriendlyData
Storeradar.io
Website friendlydata.io storeradar.io
Pricing —
Paid Free trial $149 / One-off ("2.5M Shopify Stores", "1.9M emails", "190K phone numbers") Official pricing
Company — Startup from France · 1 - 9 employees · 2026
Listed in
AI Databases No Code Spreadsheets +1
Lead Generation Sales Intelligence Email Marketing Digital Marketing Sales Email Database B2B +4

About FriendlyData and Storeradar.io

In their own words, as submitted to SaaSHub.

FriendlyData
Storeradar.io

No description of FriendlyData yet.

StoreRadar is the complete Shopify store database, sold as a single downloadable CSV instead of a subscription. Most Shopify lead and tech-lookup tools charge every month for dashboard or API access. StoreRadar sells the data itself: one file, one payment, yours forever. What's in the file (2.5M...

Read more about Storeradar.io

Features and specs

What each product offers, as listed by its team.

FriendlyData 3 features
Storeradar.io 3 features
  • Ease of Use
    FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
  • Time-Saving
    By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
  • Integration
    FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

  • Complex Queries Limitation
    While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
  • Language Ambiguity
    Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
  • Dependency on Vendor
    Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.
  • Store discovery
    2.5M stores and 100-200 new ones daily
  • Stack detection
    app detection (250+ apps), Themes and technographics
  • Contact information
    Verified emails, phone numbers, Social media

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
FriendlyData
Storeradar.io
100% 100%
AI
0% 0%
0% 0%
Lead Generation
100% 100%
100% 100%
Databases
0% 0%
0% 0%
Sales Intelligence
100% 100%

Questions & Answers

As answered by people managing FriendlyData and Storeradar.io.

Why should a person choose your product over its competitors?

Storeradar.io's answer:

Tools like BuiltWith and Wappalyzer tell you the technology on a domain you already have. Seat-based databases like Apollo.io are priced for company sales teams. StoreRadar is different on both counts: it hands you every Shopify store up front, already enriched with contact data and tech stack, and it is priced as a one-time purchase from $149 rather than a monthly subscription. You get the complete, filterable dataset in one file, you own it, and there is no per-seat pricing or dashboard to learn. For anyone focused specifically on the Shopify ecosystem, it is the fastest and cheapest way to get the whole market in a spreadsheet.

What makes your product unique?

Storeradar.io's answer:

StoreRadar sells the entire Shopify store database as a single downloadable CSV instead of a subscription. Most Shopify lead and tech-detection tools charge monthly for dashboard or API access; StoreRadar sells the data itself. One $149 payment gives you all 2.5M Shopify stores with 66+ columns per row, including 1.9M verified emails, phone numbers, installed apps, tech stack, and lead and SEO scores. You download it once and own the file forever, with no seats and no recurring fees.

How would you describe the primary audience of your product?

Storeradar.io's answer:

StoreRadar is built for people who need Shopify store data once and want to own the file, not rent a dashboard. That includes Shopify agencies doing cold outreach and migration prospecting, app and theme developers looking for stores that run a particular app or stack, freelancers and solo marketers who need one campaign's worth of leads, and indie hackers validating Shopify-adjacent product ideas. The common thread is that they need the raw, filterable data rather than a seat-based sales-intelligence platform.

What's the story behind your product?

Storeradar.io's answer:

StoreRadar started from a simple observation about lead databases: most people subscribe, export the data once, and cancel. The monthly dashboard, the seats, and the per-user pricing are built for large sales teams, not for the freelancer, the solo agency, or the single developer trying to find users for an app. So StoreRadar removed the SaaS wrapper and sells the export itself: the full Shopify store database as a one-time CSV. The insight was that people do not need another dashboard, they need the file.

Which are the primary technologies used for building your product?

Storeradar.io's answer:

StoreRadar is a Ruby on Rails 8 application. It uses Hotwire (Turbo and Stimulus) for the interface, PostgreSQL as the primary database, and TailwindCSS for styling. On top of the app sits a continuous data pipeline that monitors the Shopify ecosystem and refreshes the store dataset daily. Payments run through Stripe.

Who are some of the biggest customers of your product?

Storeradar.io's answer:

  • Independent Shopify agencies running client outreach
  • App and theme developers targeting Shopify merchants
  • Freelance marketers and cold-email consultants
  • Indie founders validating Shopify-adjacent product ideas

User comments

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