Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to bjoernkaroly.dev

Björn Karoly – Data Architect · ranked by shared content topics & relevance
72match
silviadata.dev
Silvia Arellano - Senior Data Architect & ETL Pipeline Engineer
2 shared topicsdatabases
72match
adrienledoux.dev
Adrien Ledoux | Data Platform Architect
2 shared topicsdata-storage-and-warehousing
71match
prismdatalabs.co.uk 🇬🇧
Prism Data Labs | Data Architecture as a Service
2 shared topicsdata-storage-and-warehousing
69match
cabreradfall.dev
Abraham Cabrera | Data Architect Portfolio
2 shared topicsdatabases
69match
ateeqrehman.com
Ateeq Ur Rehman | Senior Data Engineer – Snowflake, Spark, Kafka, dbt
2 shared topicsdatabases
68match
adithyapathipaka.dev
Adithya Pathipaka | Senior Data Platform Engineer
2 shared topicsdatabases
67match
dataturbine.co.uk 🇬🇧
Data Turbine
2 shared topicsdatabases
67match
spiresdatasolutions.co.uk 🇬🇧
Spires Data Solutions – Data warehouse, SQL Server and cloud data specialists
2 shared topicsdata-storage-and-warehousing
67match
lorisgjini.com
Loris Gjini | Data Engineer & Data Warehouse Consultant
2 shared topicsdatabases
66match
2ra-edition.com
The Archive | Books & Files Database
2 shared topicsdatabases
66match
buktoria.com
Home | Victoria Bukta - Data Lakehouse
2 shared topicsdata-storage-and-warehousing
66match
buktoria.io
Home | Victoria Bukta - Data Lakehouse
2 shared topicsdata-storage-and-warehousing
66match
ecoafricadata.com
ECOData - National Data Node
2 shared topicsdata-storage-and-warehousing
66match
dataassist.ie 🇮🇪
Home | Data Assist
2 shared topicsdata-storage-and-warehousing
65match
acousticdb.com
AcousticDB – Acoustic Data Management Platform
2 shared topicsdatabases
65match
cosvaro.com
Cosvaro - Data Processing Made Simple
2 shared topicsdata-storage-and-warehousing
65match
mrasyadc.com
Muhammad Rasyad Caesarardhi — Data Engineer
2 shared topicsdatabases
65match
thatfuse.com
Datafuse: Big Data Integration and Analytics Platform | DataFuse
2 shared topicsdatabases

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.