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Friendly Technologies — Data Engineering & Analytics — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Databases →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
reventsystems.com 74 match
1 shared topics
Revent Systems | Data Engineering, Data Science & Analytics en databases robotsllmsaihumans emailphone none
globaldataengineering.com 74 match
1 shared topics
Global Data Engineering LLC en databases robotsllmsaihumans emailphone none
makhov.works 72 match
1 shared topics
makhov.works | Data Engineering Solutions en databases robotsllmsaihumans emailphone none
garrettschumacher.com 70 match
1 shared topics
Garrett Schumacher | Data Analyst & Analytics Engineer en databases robotsllmsaihumans emailphone none
lytix.xyz 70 match
1 shared topics
Lytix – | Data Engineering on Demand en databasesWordPress robotsllmsaihumans emailphone none
narasimharoyal.com 70 match
1 shared topics
Narasimha Royal | Data Engineer & Data Analyst Portfolio en databases robotsllmsaihumans emailphone none
aldl.dev 69 match
1 shared topics
Adriano Baviera — Data Engineer en databases robotsllmsaihumans emailphone none
ahmedesam.top 69 match
1 shared topics
Ahmed Esam | Data Analyst & Data Engineer Portfolio en databases robotsllmsaihumans emailphone none
giovannivaldes.com 69 match
1 shared topics
Giovanni Valdes — Data Analyst en databases robotsllmsaihumans emailphone none
gkwintech.com 69 match
1 shared topics
GK Wintechnologies Data Entry Services en databases robotsllmsaihumans emailphone none
reveriesun.com 68 match
1 shared topics
Reverie Co — Data Analytics for Everyone en databases robotsllmsaihumans emailphone none
markfraser.info 68 match
1 shared topics
Mark Fraser - Lead Data Engineer en databases robotsllmsaihumans emailphone none
friendliness.dev 68 match
1 shared topics
Software Friendliness Engineering en databases robotsllmsaihumans emailphone none
akhilportfolio.space 68 match
1 shared topics
Akhil Mule - Data Analyst | Python | SQL | Cloud Engineering en databases robotsllmsaihumans emailphone none
giant-ai.com 68 match
1 shared topics
GIANT - Big Data Analytics en databases robotsllmsaihumans emailphone none
zygonialabs.com 68 match
1 shared topics
Zygonia Labs - Data & Analytics en databases robotsllmsaihumans emailphone none
debesystechnologieslcc.com 68 match
1 shared topics
DEBESYS TECHNOLOGIES LLC en databases robotsllmsaihumans emailphone none
gkenios.com 68 match
1 shared topics
Georgios Gkenios | Data Engineer en databases robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.