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Accueil - SQLspot : un focus sur vos données ! — 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
cogicia.net ↗	63 match 1 shared topics	COGICIA, Expert des solutions et technologies de gestion de données	fr	databases	robotsllmsaihumans	email phone	none
sql-data.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
sql-server.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
sqlconsulting.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
sqldata.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
sqldataconsulting.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
data-france.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
data-sql.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
datafrance.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
datasql.eu ↗	61 match 1 shared topics	Experts SQL Server, Oracle, MySQL, Sybase sur Strasbourg (Alsace)	European Union fr	databases Joomla	robotsllmsaihumans	emailphone	none
adoc.pro ↗	61 match 1 shared topics	ADOC — Audits SQL Server®	fr	databases	robotsllmsaihumans	emailphone	none
lynxeo.net ↗	60 match 1 shared topics	Envel Le Hir	fr	databases WordPress	robotsllmsaihumans	emailphone	none
mano-student.com ↗	60 match 1 shared topics	Mano — Mise en relation stages	fr	databases	robotsllmsaihumans	emailphone	none
datausecasecanvas.eu ↗	60 match 1 shared topics	DUCC® - Data Use-Case Canvas (by Dataswati)	European Union fr	databases Squarespace Magento	robotsllmsaihumans	emailphone	none
vlanglet.com ↗	60 match 1 shared topics	Page de Vincent Langlet	fr	databases	robotsllmsaihumans	emailphone	none
algoquestsystem.com ↗	60 match 1 shared topics	AlgoQuest System \| Database management, accelerated.	fr	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
captain-data.com ↗	60 match 1 shared topics	Captain-Data – Captain-Data : où la data trace la route.	fr	databases WordPress	robotsllmsaihumans	emailphone	none
legiref.com ↗	60 match 1 shared topics	Metabase	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:

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.