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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 DuckDB?

Managing and storing tabular data, like that in CSV or Parquet formats, is crucial for effective data management practices. It's often necessary to transfer large sets of results to clients, particularly in expansive client-server architectures tailored for centralized enterprise data warehousing solutions. The task of writing to a single database while accommodating multiple concurrent processes also introduces various challenges that need to be addressed. DuckDB functions as a relational database management system (RDBMS), designed specifically to manage data structured in relational formats. In this setup, a relation is understood as a table, which is defined by a named collection of rows. Each row within a table is organized with a consistent set of named columns, where each column is assigned a particular data type to ensure uniformity. Moreover, tables are systematically categorized within schemas, and an entire database consists of a series of these schemas, allowing for structured interaction with the stored data. This organized framework not only bolsters the integrity of the data but also streamlines the process of querying and reporting across various datasets, ultimately improving data accessibility for users and applications alike.

Media

No images available

Media

Integrations Supported

AnalyticsCreator
DbGate
DbVisualizer
Enrich.sh
Flyte
Kestra
MotherDuck
Observable
PuppyGraph
QStudio
Quary
SQLife
SkySQL
Streamkap
Supaboard
Tad
Union Cloud
Unity Catalog
Vanna.AI
nao

Integrations Supported

AnalyticsCreator
DbGate
DbVisualizer
Enrich.sh
Flyte
Kestra
MotherDuck
Observable
PuppyGraph
QStudio
Quary
SQLife
SkySQL
Streamkap
Supaboard
Tad
Union Cloud
Unity Catalog
Vanna.AI
nao

API Availability

Has API

API Availability

Has API

Pricing Information

$149
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

DuckDB

Company Website

duckdb.org

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

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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