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IceFireDB

@IceFireLabs -> IceFireDB is a database built for web3.0 It strives to fill the gap between web2 and web3.0 with a friendly database experience, making web3 application data storage more convenient, and making it easier for web2 applications to achieve decentralization and data immutability. . Read more below about its uses, features, and usage.

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๐Ÿš€ IceFireDB

Decentralized Database Infrastructure for Web2 & Web3

Go Version License Tests Build FOSSA Status

IceFireDB Logo

A high-performance, decentralized database engine bridging Web2 and Web3 ecosystems with advanced distributed consensus and storage capabilities.


๐Ÿ“– Table of Contents

๐ŸŒŸ Overview

IceFireDB is an advanced decentralized database infrastructure that bridges traditional Web2 applications with the emerging Web3 ecosystem. Built on cutting-edge distributed systems research, it provides a robust foundation for building decentralized applications with enterprise-grade performance and reliability.

Core Innovations

  • Hybrid Consensus: Combines Raft for intra-site consistency with P2P CRDT for cross-site synchronization
  • Multi-Storage Support: Seamlessly integrates disk storage, OSS, and IPFS for flexible data persistence
  • Protocol Compatibility: Supports both SQL (MySQL protocol) and NoSQL (Redis RESP protocol) interfaces
  • Decentralized Networking: Enables automatic P2P networking for distributed data synchronization

โœจ Key Features

Feature Status Description
๐Ÿš€ High Performance ๐Ÿ”„ Ongoing Optimization Optimized for low-latency, high-throughput operations
๐Ÿ’พ Multi-Storage Support โœ… Implemented LSM disk, OSS, IPFS, and hybrid storage drivers
๐Ÿ”„ Distributed Consistency โœ… Implemented Raft, P2P-CRDT, and IPFS-LOG consensus modes
๐ŸŒ IPFS Integration ๐Ÿงช Beta Persistent decentralized storage layer
๐Ÿค– P2P Auto-Networking ๐Ÿงช Beta Automatic decentralized network formation
๐Ÿ”‘ KV Storage Engine ๐Ÿงช Beta CRDT-based and IPFS-LOG based KV stores
๐Ÿง  AI Vector Database ๐Ÿ”„ In Progress Vector storage and similarity search capabilities
๐Ÿ“ก NATS Integration ๐Ÿ”„ In Progress High-performance decentralized messaging
๐Ÿ“ Tamper-Resistant Logs ๐Ÿ“‹ Planned Auditable, scalable logging with QED integration
๐ŸŒ‰ Web2-Web3 Bridge ๐Ÿ“‹ Planned Immutable data witness layer
๐Ÿ”„ Hot/Cold Storage โœ… Implemented Tiered storage via hybriddb driver

๐Ÿ—๏ธ Architecture

IceFireDB Architecture

Decentralized Database Engine

IceFireDB Bridge Architecture

IceFireDB is designed as a bridge between Web2 and Web3 worlds, enabling:

  • Web2 Migration: Traditional applications can gradually adopt decentralization
  • Web3 Native: Built-in support for decentralized storage and consensus
  • Data Immutability: Ensures data integrity and auditability
  • Protocol Flexibility: Supports both SQL and NoSQL interfaces
Project Purpose

๐Ÿ“š Documentation

IceFireDB Detailed Architecture

๐Ÿ“– Comprehensive Documentation

Visit our official documentation center for detailed guides, API references, and architectural deep dives:

๐Ÿ”— Documentation Center - https://docs.icefiredb.xyz/icefiredb_docs/

Our documentation includes:

  • ๐Ÿš€ Quick start guides
  • ๐Ÿ—๏ธ Architecture overviews
  • ๐Ÿ”ง Installation and configuration
  • ๐Ÿ“š API references
  • ๐ŸŽฏ Best practices
  • ๐Ÿ” Troubleshooting guides

๐Ÿ”ง Project Components

IceFireDB is composed of several specialized components that work together to provide comprehensive decentralized database capabilities:

๐Ÿ—„๏ธ IceFireDB-SQLite

A decentralized SQLite database that enables global distributed SQL operations:

  • MySQL Protocol Support: Write data using standard MySQL protocol
  • P2P Synchronization: Automatic data synchronization across nodes
  • SQLite Backend: Leverages SQLite for local data persistence
  • Global Distribution: Build global distributed database systems

๐Ÿ”„ IceFireDB-SQLProxy

Decentralized SQL database networking system for traditional Web2 databases:

  • Web2 Migration: Enables gradual decentralization of existing MySQL databases
  • Command Synchronization: Automatic command replication across network nodes
  • MySQL Integration: Seamless integration with existing MySQL infrastructure
  • Global Storage: Build globally distributed storage with automatic networking

๐Ÿ”ด IceFireDB-Redis-Proxy

Adds decentralization capabilities to traditional Redis databases:

  • Redis Protocol: Full Redis RESP protocol compatibility
  • Decentralized Middleware: Network proxy for Redis decentralization
  • Cluster Support: Works with Redis clusters and single instances
  • Data Synchronization: Automatic instruction synchronization across nodes

๐Ÿ“ก IceFireDB-PubSub

High-performance decentralized publish-subscribe system:

  • Redis PubSub Compatibility: Seamless migration from Redis pub/sub
  • High Availability: Built-in redundancy and failover mechanisms
  • P2P Networking: Decentralized peer-to-peer subscription network
  • Web2 Migration: Easy transition for existing Redis pub/sub applications

๐Ÿ—ƒ๏ธ IceFireDB-NoSQL

Core NoSQL database engine with multiple operational modes:

  • Web2 Mode: Distributed Raft-based disk Redis database
  • Web3 Mode: Decentralized IPFS storage mode
  • Hybrid Operation: Support for both traditional and decentralized storage
  • Protocol Support: Full Redis RESP protocol implementation

๐Ÿ“‹ Command Support

IceFireDB provides comprehensive Redis-compatible command support across all major data types:

๐Ÿ“ Strings

  • Basic Operations: SET, GET, DEL, EXISTS, INCR, DECR, APPEND
  • Bit Operations: SETBIT, GETBIT, BITCOUNT, BITOP, BITPOS
  • Range Operations: GETRANGE, SETRANGE, GETSET
  • Expiration: SETEX, SETEXAT, EXPIRE, EXPIREAT, TTL
  • Batch Operations: MGET, MSET

๐Ÿ—‚๏ธ Hashes

  • Field Operations: HSET, HGET, HDEL, HEXISTS, HGETALL
  • Incremental: HINCRBY
  • Key Management: HKEYS, HVALS, HLEN, HSTRLEN
  • Batch Operations: HMSET, HMGET
  • Expiration: HEXPIRE, HEXPIREAT, HTTL, HKEYEXIST
  • Management: HCLEAR, HMCLEAR, HSETEX

๐Ÿ“‹ Lists

  • Push/Pop: LPUSH, RPUSH, LPOP, RPOP, RPOPLPUSH
  • Access: LINDEX, LRANGE, LSET, LLEN
  • Management: LTRIM, LCLEAR, LMCLEAR
  • Expiration: LEXPIRE, LEXPIREAT, LTTL, LKEYEXISTS

๐Ÿ”ข Sets

  • Membership: SADD, SREM, SISMEMBER, SMEMBERS
  • Operations: SINTER, SUNION, SDIFF
  • Store Operations: SINTERSTORE, SUNIONSTORE, SDIFFSTORE
  • Management: SCARD, SCLEAR, SMCLEAR
  • Expiration: SEXPIRE, SEXPIREAT, STTL, SPERSIST, SKEYEXISTS

๐Ÿ“Š Sorted Sets

  • Score Operations: ZADD, ZSCORE, ZINCRBY
  • Range Operations: ZRANGE, ZREVRANGE, ZRANGEBYSCORE, ZREVRANGEBYSCORE
  • Rank Operations: ZRANK, ZREVRANK
  • Management: ZCARD, ZCOUNT, ZREM, ZCLEAR
  • Range Removal: ZREMRANGEBYSCORE, ZREMRANGEBYRANK

โš™๏ธ System Design

IceFireDB implements a sophisticated layered architecture with the following core components:

Component Description Technologies
๐ŸŒ Network Layer Multi-protocol networking with hybrid consensus P2P, RAFT, NATS
๐Ÿ’พ Storage Layer Multi-engine storage abstraction with Web2/Web3 compatibility goleveldb, badger, hybriddb, IPFS, CRDT, IPFS-LOG, IPFS-SYNCKV, OSS
๐Ÿ“ก Protocol Layer Multi-protocol support for broad application compatibility RESP, SQL
๐Ÿ”ง Codec Layer Core data abstraction and encoding/decoding engine KV, Strings, Hashes, Lists, Sorted Sets, Sets, SQL, PubSub

๐Ÿงฑ Backend Support Matrix (1.0.0)

Storage backends are classified by support tier for the 1.0.0 release. "GA" backends are recommended for production; "Beta" are usable and CI-tested but may need tuning or carry caveats; "Experimental" are decentralized/external-service backends still maturing.

Backend Tier Storage External dependency Notes
goleveldb GA Local LSM (default) none Default engine; mature ledis storage.
hybriddb GA Local hot/cold tier none ristretto cache over leveldb; has dedicated unit tests.
badger Beta Local LSM none CI-tested; default open options are memory-heavy โ€” tune before heavy production use.
ipfs-synckv Beta IPFS + local mirror IPFS daemon (:5001) Encrypted (AES-GCM); CI-tested against a real IPFS node.
ipfs Experimental IPFS IPFS daemon (:5001) Decentralized storage; beta maturity.
ipfs-log Experimental IPFS append-only log IPFS daemon (:5001) Decentralized log; multi-node identifier via --ipfs-log-dbname.
oss Experimental S3 / object storage S3 endpoint + credentials Object-storage backend.
crdt Experimental P2P CRDT libp2p networking Conflict-free cross-site sync; beta maturity.

All backends are exercised by the per-backend CI jobs in .github/workflows/test.yml. Tier reflects production-readiness and operational complexity, not just test coverage. RESP semantics are identical across backends โ€” see COMPATIBILITY.md.

๐Ÿ’พ Durability & --nosync

Writes go through the Raft log before being applied to the storage backend. By default each Raft log append is synced to disk (fsync) before the write is acknowledged, so an acknowledged write survives a power loss or process crash on that node.

  • Default (sync on): durable but slower โ€” every write pays an fsync.
  • --nosync: the Raft log is not fsync'd on every append. Writes are much faster, but a sudden power loss or OS crash can lose the most recent acknowledged writes on that node. A clean process kill (e.g. SIGKILL) is still safe because the data already reached the OS page cache; --nosync only trades away protection against losing un-flushed pages on power/kernel failure.

In a multi-node cluster, a Raft write commits once a majority of nodes have appended it, so the cluster as a whole tolerates the loss of a minority of nodes even with --nosync. Crash-recovery and leader-failover behavior is verified by the integration tests (make test-integration).

Recommendation: keep the default (sync on) for single-node or durability- sensitive deployments; consider --nosync only for multi-node clusters where the majority-commit guarantee and higher throughput outweigh per-node power-loss risk.

๐Ÿš€ Quick Start

Get started with IceFireDB in minutes with our comprehensive quick start guide:

๐Ÿ”— Quick Start Guide

๐ŸŽฏ Roadmap

IceFireDB originated as a distributed NoSQL database for Web2 scenarios and continues to evolve:

  • Web2 Support: Ongoing support for traditional distributed NoSQL databases
  • Web3 Expansion: Increased focus on decentralized database technologies
  • Hybrid Approach: Bridging Web2 and Web3 ecosystems with seamless migration paths
  • Community Driven: Development guided by community needs and contributions

We're grateful for our community partners and contributors who continue to drive innovation forward.

๐Ÿ“„ License

IceFireDB is released under the Apache License 2.0:

FOSSA Status

Important: By using this software, you acknowledge and agree that:

  • The authors, maintainers, and contributors of IceFireDB are not liable for any risks, costs, or problems you may encounter
  • This is open-source software provided "as-is" without warranties of any kind
  • If you discover software defects or bugs, we encourage you to submit patches to help improve the project
  • Users are responsible for evaluating the software's suitability for their specific use cases

Built with โค๏ธ by the IceFireLabs

๐Ÿ“š Documentation โ€ข ๐Ÿ› Report Issues โ€ข

Releases

v1.0.0-alpha

Pre-release

May 11, 2025

Download .zip

What's Changed

refactor: return nil when error has already been checked by @linchizhen in #849 chore(deps): bump golang.org/x/net from 0.33.0 to 0.36.0 by @dependabot in #850 chore: make function com...