MongoDB Technology Adoption in E-commerce

Discover 13.2k verified e-commerce stores using MongoDB. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 14k domains. 13.2k verified as active stores with physical delivery.

Verified stores
13.2k
active stores with physical delivery
Top country
Turkey
12,773 verified stores
Top payment signal
MasterCard
334 detection occurrences
Top carrier signal
DHL
393 detection occurrences
Top category
Clothing & Accessories
4,048 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.

13.2k verified active stores out of 14k detected · 94.3% verification rate

E-commerce Platforms Distribution

Ikas stores with 97.7% of stores with physical delivery (12,876 stores) , followed by Storeino (1.3%) and eDokan (0.5%) .

Base: 13,173 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)

Ikas 97.7%

12,876 stores

169 stores

70 stores

31 stores

6 stores

Ikas, Ideasoft 0.0%

5 stores

Ideasoft, Ikas 0.0%

4 stores

2 stores

Ikas, Shopify 0.0%

1 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 MongoDB
Platform Stores with Physical Delivery Percentage
Ikas 12876 97.75%
Storeino 169 1.28%
eDokan 70 0.53%
Custom 31 0.24%
Salesforce Commerce Cloud 7 0.05%
BigCommerce 6 0.05%
Ikas, Ideasoft 5 0.04%
Ideasoft, Ikas 4 0.03%
Shopify 2 0.02%
Ikas, Shopify 1 0.01%
Show broader dataset (all e-commerce signals)

Websites with E-commerce Signals

Ikas holds 97.7% share of detected MongoDB e-commerce signals (13,655) , with Storeino at 1.3% and eDokan at 0.5% (June 2026) .

Base: 13,970 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)

Ikas 97.7%

13,655 websites

179 websites

71 websites

31 websites

6 websites

Ikas, Ideasoft 0.0%

6 websites

Ideasoft, Ikas 0.0%

5 websites

2 websites

Ikas, Shopify 0.0%

1 websites

Visual Distribution

Distribution of top 10 platforms by websites with signals (June 2026)
E-commerce platforms distribution for websites with signals in MongoDB
Platform Websites with Signals Percentage
Ikas 13655 97.75%
Storeino 179 1.28%
eDokan 71 0.51%
Custom 31 0.22%
Salesforce Commerce Cloud 7 0.05%
BigCommerce 6 0.04%
Ikas, Ideasoft 6 0.04%
Ideasoft, Ikas 5 0.04%
Shopify 2 0.01%
Ikas, Shopify 1 0.01%

Categories Distribution

Clothing & Accessories stores with 30.7% of all stores (4,048 stores) , followed by Food & Beverages (10.7%) and Health & Beauty (8.3%) .

Base: 13,173 active verified stores, including stores without a detected category. Percentages use this full population, not only the displayed categories.

Top 10 Categories

Clothing & Accessories 30.7%

4,048 stores

Food & Beverages 10.7%

1,407 stores

Health & Beauty 8.3%

1,089 stores

Jewelry & Watches 7.8%

1,033 stores

Home & Garden 7.7%

1,020 stores

Furniture & Home Decor 5.0%

658 stores

Arts & Entertainment 3.5%

458 stores

Electronics & Technology 3.2%

415 stores

Vehicles & Parts 2.2%

291 stores

Toys & Games 2.0%

263 stores

Visual Distribution

Distribution of top 10 MongoDB store categories (June 2026)
Distribution of categories in MongoDB e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 4048 30.73%
Food & Beverages 1407 10.68%
Health & Beauty 1089 8.27%
Jewelry & Watches 1033 7.84%
Home & Garden 1020 7.74%
Furniture & Home Decor 658 5.00%
Arts & Entertainment 458 3.48%
Electronics & Technology 415 3.15%
Vehicles & Parts 291 2.21%
Toys & Games 263 2.00%

Payment Providers Distribution

MasterCard accounts for 44.5% of displayed detection occurrences (334 occurrences) , followed by Stripe Connect (14.7%) and American Express (10.3%) .

Base: 750 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

334 occurrences

110 occurrences

77 occurrences

73 occurrences

VISA 6.7%

50 occurrences

46 occurrences

Bolt 2.9%

22 occurrences

14 occurrences

13 occurrences

11 occurrences

Visual Distribution

Distribution of top 10 MongoDB payment providers (June 2026)
Distribution of payment providers in MongoDB e-commerce stores
Payment Provider Detection Occurrences Share of Displayed Occurrences
MasterCard 334 44.53%
Stripe Connect 110 14.67%
American Express 77 10.27%
PayPal 73 9.73%
VISA 50 6.67%
Klarna 46 6.13%
Bolt 22 2.93%
Google Pay 14 1.87%
Apple Pay 13 1.73%
Mollie 11 1.47%

Shipping Carriers Distribution

DHL accounts for 57.8% of displayed detection occurrences (393 occurrences) , followed by UPS (18.1%) and Hermes (10.6%) .

Base: 680 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

DHL 57.8%

393 occurrences

UPS 18.1%

123 occurrences

Hermes 10.6%

72 occurrences

FedEx 4.3%

29 occurrences

TNT 3.1%

21 occurrences

13 occurrences

DPD 1.6%

11 occurrences

GLS 1.2%

8 occurrences

5 occurrences

5 occurrences

Visual Distribution

Distribution of top 10 MongoDB shipping carriers (June 2026)
Distribution of shipping carriers in MongoDB e-commerce stores
Shipping Carrier Detection Occurrences Share of Displayed Occurrences
DHL 393 57.79%
UPS 123 18.09%
Hermes 72 10.59%
FedEx 29 4.26%
TNT 21 3.09%
Speedy 13 1.91%
DPD 11 1.62%
GLS 8 1.18%
Colissimo 5 0.74%
Aramex 5 0.74%

Store Launch Timeline

Over the past 12 months, 5,455 new stores were launched in MongoDB , with the highest activity in 2026-05 (460 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-05 8.4%

460 stores launched

2026-04 11.6%

633 stores launched

2026-03 10.2%

555 stores launched

2026-02 9.8%

536 stores launched

2026-01 12.0%

657 stores launched

2025-12 12.8%

699 stores launched

2025-11 12.0%

656 stores launched

2025-10 6.2%

336 stores launched

2025-09 4.7%

259 stores launched

2025-08 4.7%

256 stores launched

2025-07 5.3%

291 stores launched

2025-06 2.1%

117 stores launched

Monthly Trend

Monthly store launches in MongoDB (June 2026)
Monthly store launches in MongoDB over the past 12 months
Month Stores Launched Percentage
2026-05 460 8.43%
2026-04 633 11.60%
2026-03 555 10.17%
2026-02 536 9.83%
2026-01 657 12.04%
2025-12 699 12.81%
2025-11 656 12.03%
2025-10 336 6.16%
2025-09 259 4.75%
2025-08 256 4.69%
2025-07 291 5.33%
2025-06 117 2.14%

Active Stores by Launch Year

Currently, 13,145 active stores in MongoDB are tracked in our database , with the most stores launched in 2026 (2,879 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 21.9%

2,879 active stores

2025 28.3%

3,723 active stores

2024 11.3%

1,491 active stores

2023 7.2%

943 active stores

2022 5.2%

680 active stores

2021 4.4%

574 active stores

2020 4.2%

556 active stores

2019 2.7%

358 active stores

2018 2.5%

334 active stores

2017 1.9%

256 active stores

2016 1.1%

148 active stores

2015 1.0%

132 active stores

2014 1.3%

168 active stores

2013 1.5%

203 active stores

2012 1.0%

128 active stores

Distribution by Launch Year

Active stores in MongoDB by original launch year (June 2026)
Active stores in MongoDB by launch year
Launch Year Active Stores Percentage
2026 2879 21.90%
2025 3723 28.32%
2024 1491 11.34%
2023 943 7.17%
2022 680 5.17%
2021 574 4.37%
2020 556 4.23%
2019 358 2.72%
2018 334 2.54%
2017 256 1.95%
2016 148 1.13%
2015 132 1.00%
2014 168 1.28%
2013 203 1.54%
2012 128 0.97%

Social Media Usage

Instagram accounts for 45.6% of displayed detection occurrences (12,061 occurrences) , followed by Facebook (27.3%) and YouTube (7.7%) .

Base: 26,444 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

Instagram 45.6%

12,061 occurrences

Facebook 27.3%

7,212 occurrences

YouTube 7.7%

2,037 occurrences

TikTok 6.8%

1,798 occurrences

LinkedIn 3.7%

974 occurrences

Pinterest 3.0%

790 occurrences

Twitter 2.5%

654 occurrences

X 2.0%

538 occurrences

WhatsApp 1.4%

375 occurrences

Twitch 0.0%

5 occurrences

Visual Distribution

Distribution of social media platforms in MongoDB (June 2026)
Distribution of social media platforms in MongoDB e-commerce stores
Social Platform Detection Occurrences Share of Displayed Occurrences
Instagram 12061 45.61%
Facebook 7212 27.27%
YouTube 2037 7.70%
TikTok 1798 6.80%
LinkedIn 974 3.68%
Pinterest 790 2.99%
Twitter 654 2.47%
X 538 2.03%
WhatsApp 375 1.42%
Twitch 5 0.02%

Geographic Distribution

Turkey stores with 97.0% (12,773 active verified stores) , followed by Morocco (0.7%) and Germany (0.5%) .

Base: 13,173 active verified stores, including stores with unknown country. Percentages use the full population, not only the displayed countries.

Top 10 Countries

Turkey 97.0%

12,773 active verified stores

94 active verified stores

65 active verified stores

57 active verified stores

16 active verified stores

15 active verified stores

11 active verified stores

8 active verified stores

8 active verified stores

7 active verified stores

Visual Distribution

Geographic distribution of stores using MongoDB (June 2026)
Geographic distribution of stores using MongoDB
Country AI-Verified Store Count Market Share
Turkey 12773 96.96%
Morocco 94 0.71%
Germany 65 0.49%
Bangladesh 57 0.43%
United States 16 0.12%
United Kingdom 15 0.11%
France 11 0.08%
Luxembourg 8 0.06%
Algeria 8 0.06%
Austria 7 0.05%

Data Coverage

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

Field Rows count Coverage
Website 14k 100.00%
Emails 4.4k 31.30%
Phones 4.8k 34.41%
Ecommerce platform 14k 99.97%
Couriers 648 4.64%
Payment Providers 569 4.07%
Categories 12.3k 88.24%
Social Media 12.9k 92.02%

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
Explore segment →

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 MongoDB e-commerce landscape:

Analyze 13.2k verified e-commerce stores on MongoDB - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across MongoDB 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 MongoDB e-commerce intelligence?

We track 13.2k verified MongoDB 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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