PostgreSQL Technology Adoption in E-commerce

Discover 27.6k verified e-commerce stores using PostgreSQL. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 28.2k domains. 27.6k verified as active stores with physical delivery.

Verified stores
27.6k
active stores with physical delivery
Top country
United States
3,157 verified stores
Top payment signal
PayPal
1,633 detection occurrences
Top carrier signal
UPS
1,384 detection occurrences
Top category
Health & Beauty
3,770 verified stores

This is a public report preview. Use the catalog, exports or API for account lists. Fields depend on your plan; coverage varies by merchant.

27.6k verified active stores out of 28.2k detected · 97.7% verification rate

E-commerce Platforms Distribution

Custom stores with 99.1% of stores with physical delivery (27,327 stores) , followed by WooCommerce (0.4%) and Shopify (0.2%) .

Base: 27,585 active verified stores, including those without a detected platform. Rankings show leading platform combinations; displayed percentages need not sum to 100%. Digital products, services, and non-transactional sites are excluded. All stores are verified by our proprietary AI model to ensure accurate e-commerce classification.

Top 10 Platforms (Physical Delivery)

Custom 99.1%

27,327 stores

103 stores

50 stores

D2P Shop 0.2%

45 stores

QDM 0.1%

21 stores

9 stores

6 stores

5 stores

5 stores

2 stores

Visual Distribution

Distribution of top 10 platforms by stores with physical delivery (June 2026)
E-commerce platforms distribution for stores with physical delivery in PostgreSQL
Platform Stores with Physical Delivery Percentage
Custom 27327 99.06%
WooCommerce 103 0.37%
Shopify 50 0.18%
D2P Shop 45 0.16%
QDM 21 0.08%
BigCommerce 9 0.03%
Thelia 6 0.02%
Easy Orders 5 0.02%
Cafe24 5 0.02%
Magento 2 0.01%
Show broader dataset (all e-commerce signals)

Websites with E-commerce Signals

Custom holds 96.8% share of detected PostgreSQL e-commerce signals (27,327) , with WooCommerce at 0.7% and Shopify at 0.2% (June 2026) .

Base: 28,220 domains in this report's signal population, including domains without a detected platform. This is not a store count: it can include redirects and non-transactional sites. Displayed percentages need not sum to 100%.

Top 10 Platforms (All Signals)

Custom 96.8%

27,327 websites

200 websites

54 websites

D2P Shop 0.2%

45 websites

QDM 0.2%

64 websites

10 websites

7 websites

6 websites

14 websites

7 websites

Visual Distribution

Distribution of top 10 platforms by websites with signals (June 2026)
E-commerce platforms distribution for websites with signals in PostgreSQL
Platform Websites with Signals Percentage
Custom 27327 96.84%
WooCommerce 200 0.71%
Shopify 54 0.19%
D2P Shop 45 0.16%
QDM 64 0.23%
BigCommerce 10 0.04%
Thelia 7 0.02%
Easy Orders 6 0.02%
Cafe24 14 0.05%
Magento 7 0.02%

Categories Distribution

Health & Beauty stores with 13.7% of all stores (3,770 stores) , followed by Food & Beverages (11.3%) and Clothing & Accessories (8.8%) .

Base: 27,585 active verified stores, including stores without a detected category. Percentages use this full population, not only the displayed categories.

Top 10 Categories

Health & Beauty 13.7%

3,770 stores

Food & Beverages 11.3%

3,110 stores

Clothing & Accessories 8.8%

2,429 stores

Sporting Goods & Outdoor Gear 7.4%

2,044 stores

Electronics & Technology 5.5%

1,511 stores

Business & Industrial 4.5%

1,249 stores

Home & Garden 4.4%

1,225 stores

Tools & Hardware 4.1%

1,130 stores

Toys & Games 2.9%

788 stores

Vehicles & Parts 2.3%

640 stores

Visual Distribution

Distribution of top 10 PostgreSQL store categories (June 2026)
Distribution of categories in PostgreSQL e-commerce stores
Category Number of Stores Percentage
Health & Beauty 3770 13.67%
Food & Beverages 3110 11.27%
Clothing & Accessories 2429 8.81%
Sporting Goods & Outdoor Gear 2044 7.41%
Electronics & Technology 1511 5.48%
Business & Industrial 1249 4.53%
Home & Garden 1225 4.44%
Tools & Hardware 1130 4.10%
Toys & Games 788 2.86%
Vehicles & Parts 640 2.32%

Payment Providers Distribution

PayPal accounts for 24.7% of displayed detection occurrences (1,633 occurrences) , followed by American Express (16.5%) and Stripe Connect (15.1%) .

Base: 6,624 provider detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

Detected from checkout/payment scripts and provider tags; off-site/manual payments excluded where undetectable.

Top 10 Payment Providers

PayPal 24.7%

1,633 occurrences

1,091 occurrences

998 occurrences

826 occurrences

424 occurrences

VISA 6.4%

423 occurrences

358 occurrences

322 occurrences

Bolt 4.8%

318 occurrences

231 occurrences

Visual Distribution

Distribution of top 10 PostgreSQL payment providers (June 2026)
Distribution of payment providers in PostgreSQL e-commerce stores
Payment Provider Detection Occurrences Share of Displayed Occurrences
PayPal 1633 24.65%
American Express 1091 16.47%
Stripe Connect 998 15.07%
MasterCard 826 12.47%
Klarna 424 6.40%
VISA 423 6.39%
Bancontact 358 5.40%
Apple Pay 322 4.86%
Bolt 318 4.80%
Google Pay 231 3.49%

Shipping Carriers Distribution

UPS accounts for 27.2% of displayed detection occurrences (1,384 occurrences) , followed by FedEx (15.8%) and DHL (13.7%) .

Base: 5,089 carrier detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

Detected from checkout/shipping pages and shipment widgets; cross-border carriers included where visible.

Top 10 Shipping Carriers

UPS 27.2%

1,384 occurrences

FedEx 15.8%

802 occurrences

DHL 13.7%

696 occurrences

USPS 12.7%

644 occurrences

DPD 8.4%

429 occurrences

GLS 6.1%

311 occurrences

Bpost 4.7%

240 occurrences

220 occurrences

215 occurrences

148 occurrences

Visual Distribution

Distribution of top 10 PostgreSQL shipping carriers (June 2026)
Distribution of shipping carriers in PostgreSQL e-commerce stores
Shipping Carrier Detection Occurrences Share of Displayed Occurrences
UPS 1384 27.20%
FedEx 802 15.76%
DHL 696 13.68%
USPS 644 12.65%
DPD 429 8.43%
GLS 311 6.11%
Bpost 240 4.72%
Colissimo 220 4.32%
Mondial Relay 215 4.22%
Correos 148 2.91%

Store Launch Timeline

Over the past 12 months, 8,488 new stores were launched in PostgreSQL , with the highest activity in 2026-05 (976 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-05 11.5%

976 stores launched

2026-04 10.5%

894 stores launched

2026-03 9.9%

841 stores launched

2026-02 8.0%

679 stores launched

2026-01 9.8%

828 stores launched

2025-12 8.7%

742 stores launched

2025-11 8.4%

717 stores launched

2025-10 8.6%

727 stores launched

2025-09 7.8%

658 stores launched

2025-08 7.3%

619 stores launched

2025-07 6.4%

544 stores launched

2025-06 3.1%

263 stores launched

Monthly Trend

Monthly store launches in PostgreSQL (June 2026)
Monthly store launches in PostgreSQL over the past 12 months
Month Stores Launched Percentage
2026-05 976 11.50%
2026-04 894 10.53%
2026-03 841 9.91%
2026-02 679 8.00%
2026-01 828 9.75%
2025-12 742 8.74%
2025-11 717 8.45%
2025-10 727 8.57%
2025-09 658 7.75%
2025-08 619 7.29%
2025-07 544 6.41%
2025-06 263 3.10%

Active Stores by Launch Year

Currently, 27,518 active stores in PostgreSQL are tracked in our database , with the most stores launched in 2026 (4,302 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 15.6%

4,302 active stores

2025 24.4%

6,709 active stores

2024 13.6%

3,755 active stores

2023 8.9%

2,443 active stores

2022 5.4%

1,493 active stores

2021 5.3%

1,461 active stores

2020 5.1%

1,396 active stores

2019 3.1%

860 active stores

2018 3.0%

830 active stores

2017 2.5%

681 active stores

2016 1.3%

364 active stores

2015 1.1%

304 active stores

2014 1.1%

297 active stores

2013 1.4%

383 active stores

2012 0.9%

259 active stores

Distribution by Launch Year

Active stores in PostgreSQL by original launch year (June 2026)
Active stores in PostgreSQL by launch year
Launch Year Active Stores Percentage
2026 4302 15.63%
2025 6709 24.38%
2024 3755 13.65%
2023 2443 8.88%
2022 1493 5.43%
2021 1461 5.31%
2020 1396 5.07%
2019 860 3.13%
2018 830 3.02%
2017 681 2.47%
2016 364 1.32%
2015 304 1.10%
2014 297 1.08%
2013 383 1.39%
2012 259 0.94%

Social Media Usage

Facebook accounts for 27.0% of displayed detection occurrences (4,788 occurrences) , followed by Instagram (26.7%) and LinkedIn (12.3%) .

Base: 17,717 social-platform detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

Links and embeds detected on public pages; private/hidden profiles not counted.

Top 10 Social Platforms

Facebook 27.0%

4,788 occurrences

Instagram 26.7%

4,723 occurrences

LinkedIn 12.3%

2,181 occurrences

YouTube 9.4%

1,669 occurrences

WhatsApp 7.8%

1,377 occurrences

Twitter 4.9%

873 occurrences

TikTok 4.8%

853 occurrences

X 3.9%

692 occurrences

Pinterest 3.0%

534 occurrences

Vimeo 0.2%

27 occurrences

Visual Distribution

Distribution of social media platforms in PostgreSQL (June 2026)
Distribution of social media platforms in PostgreSQL e-commerce stores
Social Platform Detection Occurrences Share of Displayed Occurrences
Facebook 4788 27.02%
Instagram 4723 26.66%
LinkedIn 2181 12.31%
YouTube 1669 9.42%
WhatsApp 1377 7.77%
Twitter 873 4.93%
TikTok 853 4.81%
X 692 3.91%
Pinterest 534 3.01%
Vimeo 27 0.15%

Geographic Distribution

United States stores with 11.4% (3,157 active verified stores) , followed by Belgium (7.1%) and France (5.8%) .

Base: 27,585 active verified stores, including stores with unknown country. Percentages use the full population, not only the displayed countries.

Top 10 Countries

3,157 active verified stores

1,958 active verified stores

1,587 active verified stores

India 5.7%

1,580 active verified stores

Spain 5.0%

1,379 active verified stores

1,110 active verified stores

875 active verified stores

675 active verified stores

568 active verified stores

524 active verified stores

Visual Distribution

Geographic distribution of stores using PostgreSQL (June 2026)
Geographic distribution of stores using PostgreSQL
Country AI-Verified Store Count Market Share
United States 3157 11.44%
Belgium 1958 7.10%
France 1587 5.75%
India 1580 5.73%
Spain 1379 5.00%
Germany 1110 4.02%
Mexico 875 3.17%
Canada 675 2.45%
Argentina 568 2.06%
Netherlands 524 1.90%

Data Coverage

Coverage among all domains with this detected signal, including non-active profiles; not just active stores.

Field Rows count Coverage
Website 28.2k 100.00%
Emails 20k 70.78%
Phones 16.6k 58.80%
Ecommerce platform 27.8k 98.56%
Couriers 4.1k 14.67%
Payment Providers 4.9k 17.26%
Categories 20.5k 72.71%
Social Media 7.9k 27.83%

Coverage reflects detectability from public website analysis. Payment providers and shipping carriers are identified from checkout pages and shipping widgets. Stores using off-site payment flows or custom shipping integrations may not be detected. Actual adoption rates are higher than shown.

Market Intelligence

On-demand market analysis

Self-service access to market data and insights

  • Search and segment stores by any criteria
  • API integration for automated workflows
  • Periodic index updates
  • Market sizing and segmentation
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Strategic Intelligence

Custom research and competitive analysis

Tailored intelligence for strategic decisions

  • Custom market reports and analysis
  • Competitive landscape monitoring
  • Direct support from the founder
  • Flexible licensing and enterprise pricing
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Market Intelligence

Understand the PostgreSQL e-commerce landscape:

Analyze 27.6k verified e-commerce stores on PostgreSQL - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across PostgreSQL e-commerce.

Explore Data

Size Your Addressable Market

Segment stores by country, platform, category, PSP, carrier, technology, and merchant-size signals to quantify your market opportunity.

Explore Data

Monitor Adoption Trends

Identify which payment providers, shipping carriers, and platforms are gaining or losing traction.

Explore Data

Data Access

  • Interactive search and filtering via web app
  • REST API for programmatic access and automation
  • Index updates; historical datasets by agreement

Use Cases

  • Competitive intelligence and market sizing
  • Technology adoption and platform migration analysis
  • Sales prospecting and account-based targeting
  • Investment research and due diligence

Frequently Asked Questions

What data is included in the PostgreSQL e-commerce intelligence?

We track 27.6k verified PostgreSQL e-commerce stores whose profiles can include: e-commerce platform, product counts, categories, payment providers, shipping carriers, technology stack, merchant-size signals, and available business contact fields.

How is the data collected and how often is it updated?

We rebuild the searchable index typically every 2–4 weeks. Observation dates vary by source and field; a rebuild does not mean every website was observed again. This public report has its own publication date and may use an older snapshot than the live catalog. Coverage varies by field and market. A missing payment or carrier signal means we did not detect it, not that the merchant does not use it.

How do I access the data?

Self-service plans give you instant access through our web app and REST API. You can search, filter, and segment stores interactively or integrate programmatically into your workflows. View plans →

Can I filter by specific segments?

Yes. You can segment by country, platform, product category, payment provider, shipping carrier, technology stack, store age, cross-border signals, and merchant-size bands. Some advanced signals are plan-gated, and the same field contract is used by the web app, exports, and API.

Do you offer enterprise or custom licensing?

Yes. For large-scale data needs, custom market reports, or dedicated support, contact us to discuss enterprise pricing.

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