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SQL Tidbits – Tidbits about all things SQL, and more — 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
sqlserverlaunch.com ↗	67 match 1 shared topics	SQL Sever Launch - All Things SQL Server and Then Some	en	databases WordPress	robotsllmsaihumans	emailphone	none
kategrass.com ↗	66 match 1 shared topics	Kate Grass - Perpetual nomad, lover of all things SQL	en	databases WordPress	robotsllmsaihumans	emailphone	none
sqlatspeed.com ↗	65 match 1 shared topics	sqlatspeed.com – Posts about highly available data and mostly working race cars	en	databases WordPress	robotsllmsaihumans	emailphone	none
datasciencebrisbane.com ↗	65 match 1 shared topics	Data Science Brisbane - Things about Data Science in Brisbane	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
davebland.com ↗	64 match 1 shared topics	Dave Bland – My blog about SQL Server and related technologies	en	databases WordPress	robotsllmsaihumans	emailphone	none
sqldatabasing.com ↗	64 match 1 shared topics	SQL Databasing - A techie blog about SQL, the IT world, and other riveting topics	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
apexfromthefield.com ↗	64 match 1 shared topics	APEX from the Field – APEX, PL/SQL and SQL	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sqlnix.com ↗	64 match 1 shared topics	sqlnix – Sql, BI, Linux and techie dabble	en	databases WordPress	robotsllmsaihumans	emailphone	none
databasemath.com ↗	63 match 1 shared topics	Database Math – Database mathematics and more pragmatic information.	en	databases WordPress	robotsllmsaihumans	emailphone	none
databaserefresh.com ↗	63 match 1 shared topics	DATABASE REFRESH - Fresh thoughts about SQL Server (and not only) from Svetlana Golovko	en	databases WordPress	robotsllmsaihumans	emailphone	none
sqlautomationguru.com ↗	63 match 1 shared topics	SQL Automation Guru – Simple scripts, commands, articles and queries to automate things.	en	databases WordPress	robotsllmsaihumans	emailphone	none
dataintegrationinfo.com ↗	63 match 1 shared topics	Learn Everything About ETL & Data Integration	en	databases WordPress	robotsllmsaihumans	emailphone	none
sqldonor.com ↗	63 match 1 shared topics	SQL donor – Let's talk, write and share SQL	en	databases WordPress	robotsllmsaihumans	emailphone	none
basicmvreports.com ↗	63 match 1 shared topics	Basic MV Reports – Tools and Techniques for Multi-Value Databases	en	databases WordPress	robotsllmsaihumans	emailphone	none
hucklehillpress.com ↗	63 match 1 shared topics	hucklehillpress.com - We write about technology and book	en	databases WordPress	robotsllmsaihumans	emailphone	none
dataforfun.com ↗	63 match 1 shared topics	Dataforfun - DataScience, Software Architecture and more	en	databases	robotsllmsaihumans	emailphone	none
datainsiderpro.com ↗	63 match 1 shared topics	Data Insider Pro: Navigating the World of Data Engineering, Analytics, and Science \| Uncover essential data engineering skills, master analytics efficiency, and explore the intricacies of data science at Data Insider Pro, where we talk about all things data..	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sqlsir.com ↗	63 match 1 shared topics	SQL Sir - HTTP and SQL	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:

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.