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.

orbitdborbit-db

Features

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