S3 Browser FAQ

An S3 Browser is a desktop application that allows you to browse, manage, and transfer files in Amazon S3 (Simple Storage Service) buckets. It provides a graphical user interface similar to a file explorer, making it easy to navigate through your S3 storage without using command-line tools or the AWS Console. Brows3 is the fastest free S3 browser available, built with Rust for maximum performance.

Yes, Brows3 is 100% free and open-source. You can download the S3 browser for Windows, macOS, or Linux at no cost. There are no trial periods, no feature limitations, and no subscription required. The source code is available on GitHub under the MIT license.

Brows3 is the fastest S3 browser available thanks to its Rust-based backend. Key advantages include: O(1) folder navigation (instant browsing through millions of files), intelligent caching that eliminates loading delays, cross-platform support, drag-and-drop file transfers, bulk operations, file preview, and real-time search. Unlike other S3 browsers, Brows3 doesn't slow down when working with large buckets.

Visit brows3.app and scroll to the Downloads section. Choose the appropriate installer for your operating system: DMG for macOS (Apple Silicon or Intel), EXE/MSI for Windows, or AppImage/DEB for Linux. Installation takes less than 30 seconds.

Brows3 S3 Browser supports: Windows 10 and later (both 32-bit and 64-bit), macOS 10.15 (Catalina) and later (both Intel and Apple Silicon M1/M2/M3 Macs), and Linux distributions with GTK 3.24+ including Ubuntu, Debian, Fedora, and most other modern distributions.

For pure S3 browsing, yes. Brows3 is specifically optimized for Amazon S3 and offers significantly faster navigation through large buckets. While Cyberduck is a general-purpose file transfer client supporting many protocols, Brows3 focuses exclusively on S3 with features like instant folder traversal and intelligent caching that Cyberduck doesn't offer.

Yes, Brows3 S3 Browser supports all S3-compatible storage services including MinIO, DigitalOcean Spaces, Backblaze B2, Wasabi, Cloudflare R2, and any other service that implements the S3 API.

Brows3 supports multiple authentication methods: Enter your AWS Access Key and Secret Key directly, select from existing AWS profiles configured on your system (~/.aws/credentials), or use IAM role-based authentication. The connection wizard guides you through the setup process.

Yes, Brows3 supports multiple AWS profiles and accounts. You can easily switch between different AWS accounts or regions, making it perfect for developers and DevOps engineers who manage multiple environments.

Absolutely. Brows3 never stores your AWS credentials on external servers. All connections to S3 are encrypted using HTTPS/TLS. Your credentials are stored locally and securely on your machine. As an open-source project, the code is publicly auditable.

Brows3 S3 Browser lets you: Browse S3 buckets and folders instantly, upload files and folders with drag-and-drop, download files and folders, delete objects (single or bulk), create new folders, preview images and text files, search across millions of objects, copy/move files between paths, and view object metadata and storage classes.

Brows3 is the fastest S3 browser available. Thanks to its Rust-based architecture and intelligent caching, you can navigate through millions of S3 objects with O(1) folder traversal - meaning instant navigation without loading spinners. Other S3 browsers make API calls for each folder you open, but Brows3 caches the entire structure for instant access.

Yes, Brows3 is an excellent free alternative to CloudBerry Explorer for S3. While CloudBerry requires a paid license for full features, Brows3 is completely free and offers faster performance for large S3 buckets.

Yes, Brows3 handles large file uploads efficiently with multipart upload support. You can upload files of any size, and the progress is displayed in real-time. Drag and drop entire folders to upload recursively.

Yes, Brows3 includes powerful real-time search that works across millions of objects. Thanks to intelligent caching, searches are performed locally for instant results without additional API calls to S3.