orbitdb/orbit-db
Orbit Db
Orbit DB is a decentralized NoSQL database that utilizes conflict-free replicated data types to ensure eventual consistency across a network of nodes. It functions as a peer-to-peer data store that uses IPFS for content-addressing and synchronization, allowing for the maintenance of application state without a central server or authority.
The system is built upon a cryptographically verifiable, immutable operation log, which serves as the foundation for custom decentralized data models. This architecture enables the implementation of various data storage patterns, including JSON document stores, key-value pairs, and append-only logs.
The project covers decentralized data storage and distributed database management through the use of content-addressable storage, distributed hash table routing, and peer-to-peer gossip synchronization. It employs Merkle-tree state verification to validate the integrity of the distributed datasets.
Features
- Decentralized Storage - Provides a decentralized data store for retrieving information across a peer-to-peer network without a central server.
- Content-Addressable Storage - Uses cryptographic hashes to identify and retrieve data blocks independently of their physical network location.
- Cryptographic Commit Logs - Uses a cryptographically verifiable append-only commit log as the foundation for all data models.
- Distributed Databases - Manages distributed database operations and specialized data models across multiple networked nodes.
- CRDT Databases - Implements a decentralized NoSQL database utilizing CRDTs to ensure eventual consistency across nodes.
- IPFS-Based Databases - Functions as a decentralized data store that utilizes IPFS for content-addressing and synchronization.
- Decentralized NoSQL Stores - Offers a peer-to-peer storage system with key-value and document store patterns without a central server.
- Operation Logs - Maintains a cryptographically verifiable, append-only log of every database change as the foundation for its data models.
- Peer-to-Peer Synchronization Engines - Keeps data consistent across distributed nodes using content-addressing and replication engines.
- Conflict-Free Replicated Data Types - Implements data structures that allow peers to merge concurrent updates without conflicts to ensure eventual consistency.
- Peer-to-Peer Protocols - Distributes data across a network of nodes without a central server using content-addressing and P2P protocols.
- Application State Management - Maintains shared application state between users without requiring traditional backend infrastructure.
- Custom Data Models - Provides the ability to create specialized, domain-specific database structures built upon the immutable operation log.
- Data Formats - Supports multiple data storage patterns including JSON document stores, key-value pairs, and append-only logs.
- Gossip Protocols - Propagates data updates across the network by exchanging missing log entries via peer-to-peer gossip synchronization.
- Distributed Hash Tables - Utilizes distributed hash tables to locate data and peers across the decentralized network.
- Merkle-Tree Data Integrity - Employs Merkle-tree structures to validate the integrity of the distributed operation log.
- Databases & Data - Serverless distributed database using peer-to-peer synchronization.
- Decentralized Storage - Decentralized database built on top of IPFS.
- Distributed Compute - Serverless, peer-to-peer database syncing via IPFS.
