IceFireDB NoSQL Engine Overview #
Introduction #
IceFireDB is a decentralized database infrastructure that combines cutting-edge research in distributed systems, concurrent databases, and peer-to-peer networking. The NoSQL engine provides a high-performance, decentralized key-value store with support for multiple storage backends and distributed consensus mechanisms.
Core Architecture #
System Components #
| Component | Description | Technologies |
|---|---|---|
| Network Layer | Manages node communication and data synchronization | RAFT, P2P, NATS |
| Storage Layer | Pluggable storage backends with unified interface | LevelDB, BadgerDB, IPFS, CRDT, OSS |
| Protocol Layer | Client communication protocols | RESP (Redis), MySQL, GraphQL (planned) |
| Codec Layer | Data encoding/decoding and operation abstraction | KV, Strings, Hashes, Lists, Sets, Sorted Sets |
Storage Drivers #
IceFireDB supports multiple storage backends through a unified driver interface:
- LevelDB/BadgerDB: High-performance local disk storage
- IPFS: Decentralized content-addressable storage
- CRDT: Conflict-free replicated data types for eventual consistency
- IPFS-LOG: Append-only log-based storage with IPFS
- OSS: Object storage service integration
- HybridDB: Tiered hot/cold storage management
Key Features #
Decentralization Capabilities #
- P2P Automatic Networking: Nodes automatically discover and connect to each other
- CRDT-based Replication: Conflict-free data synchronization across nodes
- IPFS Integration: Leverages decentralized storage for data persistence
- RAFT Consensus: Strong consistency within availability zones
Performance Characteristics #
- High Throughput: Optimized for read/write operations with minimal latency
- Scalable Architecture: Horizontal scaling through node addition
- Flexible Storage: Multiple backend options for different use cases
- Efficient Networking: Optimized protocol handling and data transfer
Protocol Support #
- Redis RESP Protocol: Full compatibility with Redis clients and commands
- Custom Extensions: Enhanced commands for decentralized operations
- Future Protocols: GraphQL and additional protocol support planned
Use Cases #
Web2 Applications #
- Traditional distributed databases with RAFT consensus
- High-performance key-value stores with disk persistence
- Redis-compatible caching and session storage
Web3 Applications #
- Decentralized applications requiring data immutability
- P2P data synchronization across distributed nodes
- IPFS-based storage for content-addressable data
- Blockchain integration and transparent logging
Getting Started #
For quick start guides and deployment instructions, see the Quick Start section.
Performance Benchmarks #
LevelDB Driver Performance #
# Benchmark results with 512 concurrent connections
SET: 253,232 requests per second
GET: 2,130,875 requests per second
Storage Backend Comparison #
| Backend | Read Latency | Write Latency | Persistence | Decentralized |
|---|---|---|---|---|
| LevelDB | Low | Low | Disk | No |
| BadgerDB | Very Low | Low | Disk | No |
| IPFS | Medium | Medium | Network | Yes |
| CRDT | Low | Medium | Eventually Consistent | Yes |
Architecture Diagrams #
Overall system architecture showing components and data flow
Bridge architecture connecting web2 and web3 applications
Development Status #
- ✅ Production Ready: LevelDB, BadgerDB drivers
- 🟡 Beta: IPFS, CRDT, IPFS-LOG drivers
- 🚧 In Development: AI vector database, NATS integration
- 📋 Planned: GraphQL protocol, advanced caching, witness layer
Community and Support #
IceFireDB is developed with support from:
- Protocol Labs
- Filecoin Foundation
- FVM (Filecoin Virtual Machine)
- libp2p community
For issues, contributions, and discussions, please visit our GitHub repository.