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Home - Openfield — 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
cogicia.net 62 match
1 shared topics
COGICIA, Expert des solutions et technologies de gestion de données fr databases robotsllmsaihumans emailphone none
adoc.pro 61 match
1 shared topics
ADOC — Audits SQL Server® fr databases robotsllmsaihumans emailphone none
sql-data.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
sql-server.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
sqlconsulting.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
sqldata.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
sqldataconsulting.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
data-france.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
data-sql.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
datafrance.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
datasql.eu 60 match
1 shared topics
Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace) European Union fr databasesJoomla robotsllmsaihumans emailphone none
bibliotheque-istm.cm 60 match
1 shared topics
PMB fr databases robotsllmsaihumans emailphone none
acadm.org 60 match
1 shared topics
Groupe des Data Managers Académiques fr databases robotsllmsaihumans emailphone none
algoquestsystem.com 60 match
1 shared topics
AlgoQuest System | Database management, accelerated. fr databasesWordPressWooCommerce robotsllmsaihumans emailphone none
datausecasecanvas.eu 60 match
1 shared topics
DUCC® - Data Use-Case Canvas (by Dataswati) European Union fr databasesSquarespaceMagento robotsllmsaihumans emailphone none
agendas.ovh 60 match
1 shared topics
Exercices Access 2019 – Base Librairie fr databases robotsllmsaihumans emailphone none
lynxeo.net 60 match
1 shared topics
Envel Le Hir fr databasesWordPress robotsllmsaihumans emailphone none
vlanglet.com 60 match
1 shared topics
Page de Vincent Langlet fr 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.