Apps Like MaCave — Cave à Vin for iPhone and iPad
MaCave — Cave à Vin screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.
CELLR: Curate your wine life
Cellar Ventures, Inc.
Track holdings and manage collections
Track collections with detailed cellar management. Monitor wish lists for travel and dining. Trade wines with other users. Receive curated recommendations based on personal preferences. Sync with devices for offline access.
Cellar 2
Airsource Ltd.
Store, track, and view wine collections
Manage and organize wine collections with detailed bottle entries. Track vintages, regions, and ratings. View inventory visually with customizable bottle details. Set reminders for tastings and purchases. Export data and sync across devices.
Last Bottle Wines
Blicker Pierce Wagner Wine Merchants LLC
Order wine and track shipments
Discover new with daily discounts of 30-80% off retail prices. Set notifications for new arrivals and track available quantities. View wine details, pricing, and availability. Place orders and manage purchases directly.
Pairfecto
Jumpei Hirono
Scan labels, compare wines, find pairings
Scan wine labels to access detailed information and food pairing suggestions. Compare wines by price, region, and style. Track your wine collection with a digital cellar. Set reminders for when to drink or age specific bottles.
Baron Rouge - Ma cave à vin
Thierry LEFORESTIER
Scan wine labels and organize your collection
Manage and organize wine collections with AI-powered label scanning. Automatically recognize wine details like name, producer, and vintage. Access expert notes, aging potential, and food pairings.
WinErie: Lake Erie Wineries
Red Trillium Studios Ltd
Find wineries, view wine lists, like favorites
View wineries on a map with location-based positioning. Scroll through winery listings with wine descriptions, sugar content, and types. Like wines to save them in favorites. Create and manage wine tours with navigation to each winery.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.