orbit-db
A serverless, distributed, peer-to-peer database for the decentralized web using IPFS and CRDTs.
What is orbit-db?
OrbitDB is a serverless, distributed, peer-to-peer database designed for the decentralized web. It uses IPFS for data storage and Libp2p Pubsub for automatic synchronization between peers, enabling conflict-free, eventually consistent data management without central servers. It is built for decentralized applications, blockchain projects, and local-first web apps that prioritize user sovereignty and offline capability.
Developers building decentralized applications (dApps), blockchain projects, peer-to-peer software, or local-first web applications that require offline functionality and user-controlled data. It is suitable for JavaScript developers working in both browser and Node.js environments.
Developers choose OrbitDB for its unique combination of serverless architecture, peer-to-peer synchronization via IPFS and Libp2p, and conflict-free data merging using Merkle-CRDTs. It offers multiple database types (events, documents, key-value, indexed key-value) and extensible data models, providing flexibility for various decentralized use cases while ensuring data consistency across distributed peers.
Overview
Peer-to-Peer Databases for the Decentralized Web
Use Cases
Best For
- Building decentralized applications (dApps) that require peer-to-peer data synchronization without central servers.
- Developing blockchain applications where immutable, append-only logs (events database) are needed for transaction histories or message queues.
- Creating local-first web applications that work offline and sync data automatically when peers reconnect.
- Implementing document version control systems using the documents database for JSON storage and indexing.
- Constructing distributed key-value stores for scenarios like configuration management or state sharing in p2p networks.
- Extending database functionality with custom data models that leverage Merkle-CRDT properties for conflict-free replication.
Not Ideal For
- Applications requiring immediate strong consistency, such as real-time financial transaction systems.
- High-performance web apps with low-latency query needs, as IPFS synchronization can introduce delays.
- Projects where data must remain entirely private and not distributed across unknown peers, despite available encryption options.
- Teams seeking out-of-the-box, managed database solutions without the overhead of configuring IPFS and Libp2p.
Pros & Cons
Pros
Operates without central servers by leveraging IPFS for storage and Libp2p Pubsub for synchronization, enabling genuine decentralized applications as highlighted in the README's philosophy.
Uses Merkle-CRDTs, formalized in academic papers, to ensure consistent and mergeable database writes across distributed peers, reducing conflicts in p2p environments.
Supports events, documents, key-value, and indexed key-value databases, catering to diverse data models like append-only logs or JSON document storage as per the API documentation.
Allows custom database implementations that inherit Merkle-CRDT properties, providing flexibility for unique use cases beyond the default offerings.
Cons
Requires configuring IPFS and Libp2p instances manually, with the README noting dependencies on helia and libp2p, adding initial development overhead.
As an eventually consistent database, it may not suit use cases needing immediate data consistency, relying on CRDTs that can introduce latency in sync.
Compared to traditional databases, it has a smaller community and fewer integrations, with documentation scattered across multiple pages, potentially hindering support.
Due to peer-to-peer synchronization and IPFS storage, latency and throughput can be lower, as hinted by the need for benchmarks in the repository.
Frequently Asked Questions
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