Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Amazon S3 in object storage & filesystems workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing Amazon S3.
Why teams pick it
Organizations seeking S3-compatible on-premises storage
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Amazon S3.
Why teams pick it
Developers building privacy‑focused SaaS applications
Decentralized, S3-compatible storage that encrypts and distributes your data.
Why teams choose it
Watch for
Performance can vary depending on node availability and network latency
Migration highlight
Secure backup for SaaS data
Encrypted backups are stored across multiple nodes, ensuring durability and compliance without managing infrastructure.
Scalable distributed storage system for modern infrastructure
High-performance S3-compatible object storage for AI and analytics
High-performance Rust-based distributed object storage with S3 compatibility
Unified data access layer for any storage service
S3-compatible geo-distributed object storage for small-scale self-hosting
Scalable distributed file system with fast O(1) object access
Scalable, lightweight object storage with PostgreSQL metadata and multi-protocol support
Teams replacing Amazon S3 in object storage & filesystems workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Amazon S3.
Why teams choose it
Watch for
Steep learning curve for operators new to distributed storage
Migration highlight
Kubernetes Persistent Storage
Dynamically provision RBD block volumes for stateful workloads with snapshot and clone capabilities
Why teams choose it
Watch for
AGPLv3 license requires source disclosure for modified versions
Migration highlight
AI Model Training Pipeline
Store and serve petabytes of training data with low-latency access for distributed ML frameworks
Why teams choose it
Watch for
Still in rapid development, not production‑ready
Migration highlight
Prototype AI training data lake
Store and retrieve large datasets via S3 API with low latency, enabling rapid model iteration.
Why teams choose it
Watch for
Abstraction layer may introduce overhead compared to native SDKs
Migration highlight
Multi-Cloud Data Pipeline
Build ETL workflows that read from AWS S3, process data, and write to Azure Blob Storage using identical code patterns across environments.
Why teams choose it
Watch for
Optimized for small-to-medium scale rather than massive enterprise deployments
Migration highlight
Multi-Site Personal Cloud
Replicate photos, documents, and backups across home, office, and remote locations with automatic failover when any site goes offline.
Why teams choose it
Watch for
Operational complexity when configuring erasure coding and tiering
Migration highlight
Media asset management for streaming platform
Store billions of video files with instant O(1) retrieval, while automatically tiering older content to cheap cloud storage.
Why teams choose it
Watch for
Requires a PostgreSQL instance
Migration highlight
User avatar management
Store and retrieve user avatars with resumable uploads, enforcing per‑user access via PostgreSQL RLS.