Home / Alternatives to Kazna Apps Like Kazna for iPhone and iPad
by Pavel Glyanenko ★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Ranked alternatives Showing 161–180 of 1,000 ranked alternatives.
Ivan Yastrebov
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-14
Vladislav Pertsev
★ 4.6 10 ratings Food & Drink Free Data updated 2026-09-06
FRESH-SPORT, OOO LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-23
Anastasia Perminova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-23
Ekaterina Kurbatova
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-29
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Limonova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Commercial Bank 'Kuban Credit' Limited Liability Company
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Laboratoriya Umnogo Vozhdeniya OOO
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Aiyl Bank, OAO
★ 2.9 7 ratings Finance Free Data updated 2026-09-06
MBANK, OAO
★ 2.5 2 ratings Finance Free Data updated 2026-09-06
Andy Khristoforof
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Maksim Li
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anna Maidaniuk
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Novotelecom OOO
★ 2.2 19 ratings Finance Free Data updated 2026-09-09
XONSAROY GROUP, MAS ULIYATI CHEKLANGAN JAMIYATI
Pay with QR code, send money, track
Make payments via QR code by scanning in stores, cafes, markets, or gas stations. Transfer funds, pay bills, and manage expenses. Pay for apartment installments without fees. Lock and unlock accounts remotely.
★ 3.0 2 ratings Finance Free Data updated 2026-09-06
Elena Grebenshchikova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Gorbilet, OOO
★ 4.6 58 ratings Entertainment Free Data updated 2026-09-15
Aiyl Bank, OAO
★ 0.0 0 ratings Finance 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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