Specs | Brand | Bellroy | Baggallini |
Name | Melbourne Backpack Compact | Soho Backpack | |
Category | Laptop | Laptop | |
Sub Category | Work | Work | |
Capacity (L) | 12L | ||
Dimensions (in) | 11.02 x 6.3 x 15.75 | 11 x 15 x 6 | |
Weight (lb) | 1.54 | 1 | |
Fabric | This bag features durable, water-resistant woven fabric, made from recycled materials. | ||
Color | Limestone | Smoke & Faux Python Trim | |
Warranty | 3 year warranty | ||
Release Date | December 13, 2020 | ||
Rating | 3.6 | 4.6 | |
Price | Under $100 | Under $150 | |
General Features | Shoulder Straps | Contoured adjustable shoulder straps | Straight - adjustable padded strap |
Zippers | Nylon zipper with rubber pulls | Plastic molded zipper with metal pulls | |
Main Compartment Access | Fold-top for easy, one-handed access | Normal top two way zip access | |
External Pockets | 2 external pockets | 4 external pockets | |
Internal Compartments | Interior side wall pockets, and A5 document slip pocket | Interior organization and multifunctional pocket, laptop sleeve | |
Side Pockets | 2 side pockets | 2 side pockets | |
Water Bottle | Yes | Yes | |
Handles | Top grab handle | Two webbing top handles | |
Business & School Features | Laptop Sleeve | Padded; 13” laptop | Padded |
Travel Features | Luggage Straps / Trolley Sleeve | Luggage sleeve | |
Hiking / Backpacking Features | Back Panel | Padded | Padded |
Anti Theft Features | RFID Blocking | RFID protected card panel |
Bellroy 's Melbourne Backpack Compact is a Laptop backpack with Work features while Baggallini 's Soho Backpack is a Laptop backpack with Work features.
The Bellroy Melbourne Backpack Compact has a capacity of 12L (liters), weighs 1.54 pounds and it's dimensions in inches are 11.02 x 6.3 x 15.75. It's made of This bag features durable, water-resistant woven fabric, made from recycled materials. and is available in Limestone in comparison the Baggallini Soho Backpack's capacity is with a size of 11 x 15 x 6 inches. Constructed from it weighs 1 pounds and is available in Smoke & Faux Python Trim.
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