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Spice AI — Real-Time SQL Query for Agents — 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
usespiceai.com ↗	100 match 1 shared topics	Spice AI — Real-Time SQL Query for Agents	en	databases	robotsllmsaihumans	emailphone	none
useredis.com ↗	72 match 1 shared topics	Redis - Real-time data for agents & apps	en	databases Sanity	robotsllmsaihumans	emailphone	none
fastredis.com ↗	72 match 1 shared topics	Redis - Real-time data for agents & apps	en	databases Sanity	robotsllmsaihumans	emailphone	none
usetidb.com ↗	69 match 1 shared topics	Database for AI Agents \| TiDB Distributed SQL \| TiDB	en	databases WordPress	robotsllmsaihumans	emailphone	none
usewake.dev ↗	68 match 1 shared topics	Wake — A database workbench for humans and AI agents	en	databases	robotsllmsaihumans	emailphone	partial · 8
piramiddb.com ↗	66 match 1 shared topics	Piramid – Vector Database for Agentic Applications	en	databases	robotsllmsaihumans	emailphone	none
csharpdb.com ↗	66 match 1 shared topics	CSharpDB — Embedded Database Engine for .NET	en	databases	robotsllmsaihumans	emailphone	none
faucetdb.ai ↗	66 match 1 shared topics	Faucet — Turn Any SQL Database into a Secure REST API	en	databases	robots llmsaihumans	emailphone	none
casesql.com ↗	65 match 1 shared topics	caseSQL — SQL Practice Problems with Real-World Scenarios	en	databases	robotsllmsaihumans	emailphone	none
planequery.com ↗	65 match 1 shared topics	PlaneQuery.com \| SQL & LLM interface for ADS-B and flight data	en	databases	robotsllmsaihumans	emailphone	none
useinconvo.com ↗	65 match 1 shared topics	Inconvo \| Build Reliable Data Agents	en	databases	robotsllmsaihumans	emailphone	none
luma-bi.com ↗	65 match 1 shared topics	Luma BI — Commercial intelligence for any data team	en	databases	robotsllmsaihumans	emailphone	none
csvfiddle.io ↗	65 match 1 shared topics	CSVFiddle - Query CSVs with SQL	en	databases	robotsllmsaihumans	emailphone	none
directtigergraph.com ↗	65 match 1 shared topics	AI-Powered Graph Database for Real-Time Analytics & Connected Data \| TigerGraph	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 1
deltex.dev ↗	65 match 1 shared topics	Deltex — SQL at the Edge	en	databases	robotsllmsaihumans	emailphone	none
fathomsql.com ↗	65 match 1 shared topics	FathomSQL — Native PostgreSQL Client for Mac	en	databases	robotsllmsaihumans	emailphone	none
auxten.com ↗	64 match 1 shared topics	auxten — AI & Database Guy	en	databases	robots llmsaihumans	emailphone	none
fastware.com ↗	64 match 1 shared topics	Enhanced PostgreSQL for enterprise applications \| Fujitsu	en	databases HubSpot	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.