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What is StoreRadar?

StoreRadar serves as a robust business data platform that aggregates the entire database of Shopify stores into a convenient CSV format. This impressive dataset includes 2.5 million stores and provides over 66 attributes per entry, such as domain name, verified email addresses, phone numbers, geographic location, category, theme, and much more; it also reveals over 250 installed applications while offering a comprehensive technology fingerprint, product counts, and both first-seen and last-seen dates, along with lead and SEO scores that range from 0 to 100. The CSV file can be easily utilized with various applications, including Excel, Google Sheets, pandas, DuckDB, and Airtable, thus removing the necessity for any dashboard or authentication details. Additionally, an ongoing live pipeline consistently monitors the Shopify infrastructure, guaranteeing that the data remains up-to-date on a daily basis. The pricing structure is clear-cut, requiring a one-time fee of $149 for the complete export, alongside an optional add-on for verified emails and an annual subscription plan tailored for teams that need monthly data refreshes. This cutting-edge solution is perfect for businesses eager to harness extensive insights from the Shopify ecosystem effortlessly while benefiting from regular updates. Ultimately, StoreRadar positions itself as an essential resource for those who wish to deepen their understanding of Shopify stores with ease.

What is MetricSign?

MetricSign offers an all-encompassing view of your data environment, proactively detecting potential issues before they can affect your stakeholders. By utilizing a straightforward Microsoft OAuth connection, you can integrate Power BI in just two minutes, allowing MetricSign to immediately start tracking refresh errors, slow datasets, and scheduling problems, providing detailed reports that include specific error codes and insightful root cause analyses. Beyond Power BI, MetricSign also monitors Azure Data Factory, Databricks, dbt Cloud, dbt Core, and Microsoft Fabric, ensuring a cohesive surveillance approach. Consequently, if an ADF pipeline fails and causes a Power BI refresh problem, you will receive a unified incident report rather than multiple alerts from different systems, which simplifies your incident management. This seamless integration not only enhances the efficiency of your responses to data challenges but also fosters a more cohesive data management strategy. Key capabilities: - Refresh failure detection with 98+ error code classifications - End-to-end lineage: source → pipeline → dataset → report - Slow refresh and missed schedule detection - Alerts via email, Telegram, webhook - Free plan available — no credit card required

Media

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Integrations Supported

Azure Data Factory
Databricks
Microsoft Fabric
Shopify
dbt

Integrations Supported

Azure Data Factory
Databricks
Microsoft Fabric
Shopify
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

$149
Free Version
Free Trial Offered?

Pricing Information

69€/3 workspaces
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

StoreRadar.io

Date Founded

2025

Company Location

France

Company Website

www.storeradar.io

Company Facts

Organization Name

MetricSign

Date Founded

2026

Company Location

Netherlands

Company Website

www.metricsign.com

Categories and Features

B2B Data

B2B Contact Data
B2B Intent Data
B2B Leads Data
B2B Marketing Data
Business Ownership Data
Company Data
Employee Data
Firmographic Data
Job Posting Data
Salary Data
Technographic Data

Categories and Features

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