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Dieter Fieber - Oracle Datenbank Beratung: Consulting, Konzeption, Realisierung, Schulung — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ml-db.de ↗	68 match 1 shared topics	Datenbank Consulting für Oracle und PostgreSQL - Martin Licht Database Consultant	Germany de	databases	robotsllmsaihumans	email phone	none
jan-peter.me ↗	67 match 1 shared topics	Jan-Peter's Weblog \| Oracle Datenbanken und Applikation Server	de	databases WordPress	robotsllmsaihumans	emailphone	none
schulungsdatenbank.com ↗	67 match 1 shared topics	Professionelle Schulungsdatenbanken	de	databases	robotsllmsaihumans	emailphone	none
software-schmid.biz ↗	65 match 1 shared topics	Datenbankexperte Christian Schmid & MS SQL Server – Ihre Schnittstellen-Lösungen	de	databases	robotsllmsaihumans	emailphone	none
webbasiert.com ↗	64 match 1 shared topics	docemos GmbH: webbasierte Datenbanksysteme	de	databases	robotsllmsaihumans	emailphone	none
mongodb.de ↗	64 match 1 shared topics	MongoDB: Die weltweit führende moderne Datenbanklösung \| MongoDB	Germany de	databases Contentstack	robotsllmsaihumans	emailphone	none
adc-services.net ↗	64 match 1 shared topics	ADC Services GmbH	de	databases	robotsllmsaihumans	emailphone	none
skc-group.info ↗	64 match 1 shared topics	Stefan Kraemer IT Consulting	de	databases	robotsllmsaihumans	emailphone	none
smart-cadaster.digital ↗	64 match 1 shared topics	Kreislaufwirtschaft Datenbank - intelligent vernetzt durch AI	de	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
time-o-meter.com ↗	64 match 1 shared topics	docemos GmbH: Ingenieurbüro für technische Dokumentation, as built CAD-Dienstleistungen und webbasierte Datenbanklösungen	de	databases	robotsllmsaihumans	emailphone	none
mas-optimization.com ↗	64 match 1 shared topics	HC Datenbank	de	databases	robotsllmsaihumans	emailphone	none
mas-qm.com ↗	64 match 1 shared topics	HC Datenbank	de	databases	robotsllmsaihumans	emailphone	none
social-times.org ↗	63 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
socialtimes.org ↗	63 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
solidad.info ↗	63 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
solidar-it.org ↗	63 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
sozialaktie.org ↗	63 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
dieheimlichenhelfer.net ↗	63 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.