Home / Alternatives to Ресторан-Бар PANDORA Apps Like Ресторан-Бар PANDORA for iPhone and iPad
by Kamil Kalimullin ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
Novikova Lidiia
★ 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
Irina Kuksenko
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kseniia Malashenok
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nina Yarmolavichus
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitriy Aleksandrov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PARTNER SBIS, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sergey Karpenko
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-17
PARTNER SBIS, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PLAN-B, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anton Shustov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Burger Rus, Ooo
Order food and pay with a few
Order food for dine-in, takeout, or delivery through the . Pay with a few taps. Retrieve orders by stating the order number at the pickup zone. View menu items and place orders without waiting in line. Track order status and manage payments securely.
★ 4.5 8,163 ratings Food & Drink Free Data updated 2026-09-13
Alexandr Shcherbakov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nikita Rozbitsky
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Igor Shalamov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-14
PLAN-B, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Aleksei Sartakov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alexander Shekhtman
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LPmotor 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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