Similar Artists to SQL

3 related artists Based on 24 releases

If you follow SQL, these are the artists Electrobuzz listeners also track — connected through shared labels, overlapping genres, and actual collaborations across 24 releases. Top connections include Child, Andreas Henneberg, Olaf Stuut. These aren't generic recommendations — every link is computed from real release data in the Electrobuzz archive.

SQL is Pim Van Horssen, a techno producer from Amsterdam, Netherlands. He produces peak time driving techno and tech house for labels including Gem Records, Flow Vinyl, and Outpost Recordings.

Artists Similar to SQL

1

Child

Child releases tech house, progressive house, and deep house tracks on Stone Seed, with releases spanning from 2011 to 2022. The project explores melodic house & techno alongside peak time driving techno across five documented releases.

Connection: 6 shared genres, 2 collaborations

5 releases on Electrobuzz 2 shared releases with SQL
Discography
2

Andreas Henneberg

Andreas Henneberg is a German DJ and producer who co-founded Voltage Musique Records and established SNOE label with Beth Lydi in 2015. His tech house and melodic techno releases appear across Desert Hearts Records, Desert Hearts Black, and Heinz Music, delivering driving peak-time energy and minimal deep tech grooves.

Connection: 9 shared genres, 1 collaboration

51 releases on Electrobuzz 1 shared releases with SQL
Discography Similar to Andreas Henneberg
3

Olaf Stuut

Amsterdam-based producer Olaf Stuut, who also records under the alias Inner River, has released on Atomnation, Engrave LTD, and Microcastle since 2013. His sound spans peak time driving techno and electronica downtempo, delivering both floor-focused tracks and atmospheric electronic compositions.

Connection: 2 shared genres, 1 collaboration

6 releases on Electrobuzz 1 shared releases with SQL
Discography

How We Found These Techno (Peak Time / Driving) Artist Connections

These recommendations are computed from Electrobuzz's archive of 172,163+ releases. Each artist's connection score is based on three signals: shared label affiliations (artists releasing on the same imprints), overlapping genre coverage (artists working in the same musical territories), and direct collaborations (co-releases, remixes, and compilation appearances). The rankings update automatically as new music is published.

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