Home / Alternatives to SOVAhome Apps Like SOVAhome for iPhone and iPad
by Iulia Iarmolavichus ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 41–60 of 1,000 ranked alternatives.
FUDSOUL, OOO
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-19
DMITRIY SUKHAREV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-15
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ekaterina Mazenina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-25
Alexander Shekhtman
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
SKALKA, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LLC NOPRESET
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
MNE BY V KOSMOS, OOO,
★ 4.8 52 ratings Food & Drink Free Data updated 2026-09-20
OBED.RU OOO
Order food and drinks from restaurants
Order food from 5000+ restaurants across Russia. Choose from pizza, sushi, burgers, pastries, and more. Place 24/7 orders for delivery or office meals starting at 50 rubles. Filter by price, delivery options, ratings, and customer reviews.
★ 4.7 13 ratings Food & Drink Free Data updated 2026-09-08
REKLAMNYE TEKHNOLOGII, OOO (RU)
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-25
Alexander Shekhtman
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-13
Anton Ardyshev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Matvei Afanasiev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-24
Anastasia Perminova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Viktoriia Muzyria
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-30
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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