Home / Alternatives to U+Bar Apps Like U+Bar for iPhone and iPad
by U+Bar Solutions Inc. ★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 421–440 of 1,000 ranked alternatives.
BENTO DELIVAZ LIMITED
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
DineAByte GbR
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Abdullah Ozturk
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-11
Rebwar Khalid
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DAVINDER SINGH RAIYAT
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jayan Nambiar
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dine AI, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Eteos, LLC
★ 4.7 7 ratings Food & Drink Free Data updated 2026-09-06
RRR PIZZA LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Purple Tech Software
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MIDWEST RESTAURANT GROUP LIMITED LIABILITY COMPANY
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
Andranik Avetisyan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KUBERSOLUTIONS LLC
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
The Business Shift LLC
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Table Mate
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Lara Haddad
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jonathan Shen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Lavu Inc
Track orders, increase kitchen productivity.
The app helps restaurants and bars manage kitchen operations. It provides a real-time ordering system integrated with the Lavu point-of-sale system, reducing waste and increasing productivity.
★ 3.2 8 ratings Business Free Data updated 2026-09-19
STB TEKNOLOJI YAZILIM SANAYI VE TICARET LIMITED SIRKETI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Smile Button Enterprises LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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