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Pro-Aum | Data Integration & Analytics Platform — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
trinidata.com ↗	73 match 2 shared topics	TriniData: knowledge management, integration, master data, analytics	en	software-and-applications	robotsllmsaihumans	emailphone	none
flownie.com ↗	69 match 2 shared topics	Flownie - Visual Data Analysis Platform \| No-Code Data Workflows	en	software-and-applications	robotsllmsaihumans	emailphone	partial · 8
informationactive.com ↗	69 match 2 shared topics	ActiveData - Analytics For Excel	en	databases	robotsllmsaihumans	emailphone	none
dataspace.ch ↗	68 match 2 shared topics	DataSpace - Data-Transformation, Analysis and Lineage Platform	Switzerland en	databases	robotsllmsaihumans	emailphone	none
minersoft.org ↗	68 match 2 shared topics	Miner - Data Analytic Software	en	databases	robotsllmsaihumans	emailphone	none
leansoftware.net ↗	67 match 2 shared topics	SQL data solutions, software for batch data processing validation import/export/file and integration solutions	en	databases DotNetNuke/DNN	robotsllmsaihumans	emailphone	none
iblendexcel.com ↗	67 match 2 shared topics	iBlendExcel - Premium Data Process & Curation Utility	en	software-and-applications	robotsllmsaihumans	emailphone	none
2thet.com ↗	66 match 2 shared topics	2theT Workplace Innovation - Relational database Custom software Data integration Cross-platform Reporting SQL queries API integration Applications App development Workflow Automation Mobile apps	en	databases	robotsllmsaihumans	emailphone	none
datasift.ca ↗	66 match 2 shared topics	DataSift \| Professional Spreadsheet Processing & Data Integrity Software	Canada en	software-and-applications	robotsllmsaihumans	emailphone	none
fizzdata.com ↗	66 match 2 shared topics	FizzData – Custom Web Apps, Data Management & API Integration \| Fizz Data	en	databases	robotsllmsaihumans	email phone	none
flinkpackaging.com ↗	66 match 2 shared topics	FizzData – Custom Web Apps, Data Management & API Integration \| Fizz Data	en	databases	robotsllmsaihumans	email phone	none
intbricks.com ↗	66 match 2 shared topics	IntBricks - Tools and Services for Data Integrations and Document Producing	en	software-and-applications	robotsllmsaihumans	emailphone	none
caspio.com ↗	66 match 2 shared topics	Low-Code Platform - Build Online Database Apps \| Caspio	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
caspio.org ↗	66 match 2 shared topics	Low-Code Platform - Build Online Database Apps \| Caspio	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
caspio-free-trial.com ↗	66 match 2 shared topics	Low-Code Platform - Build Online Database Apps \| Caspio	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
caspio.biz ↗	66 match 2 shared topics	Low-Code Platform - Build Online Database Apps \| Caspio	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
caspio.info ↗	66 match 2 shared topics	Low-Code Platform - Build Online Database Apps \| Caspio	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
dbsofts.com ↗	66 match 2 shared topics	ESF Database Migration Toolkit	en	software-and-applications	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.