Why is Chainbase's query speed 3 times faster than competitors?

Chainbase's query performance advantage stems from its innovative four-layer architecture design and technology integration, mainly reflected in the following three aspects:

1. Dual-chain parallel processing and real-time synchronization

Chainbase adopts a dual-chain architecture that separates the data chain from the consensus chain, combined with CometBFT and DPoS consensus mechanisms, achieving second-level transaction finality. The data access layer supports real-time synchronization of over 220 chains (refresh interval < 3 seconds) and verifies data integrity through zero-knowledge proofs (ZKP), avoiding redundant calculations typical of traditional single-chain solutions.

2. Modular co-processing and AI optimization

Through the Manuscript framework of the co-processing layer, developers can customize data transformation logic to preprocess raw data into an AI-ready format, reducing the computational load during queries. Its self-developed model Theia-Llama-3.1-8B (with over 300,000 daily active users) is directly embedded in the query process, intelligently optimizing analysis paths and significantly improving the efficiency of complex queries.

3. Distributed storage and resource isolation

Chainbase collaborates with ByteHouse, utilizing a storage-computing separation architecture and columnar compression technology (such as Parquet), reducing I/O read volume by 70%. At the same time, the AVS mainnet based on EigenLayer achieves multi-tenant resource isolation, ensuring stable responses under high concurrency scenarios.

Summary: Chainbase has built the fastest query engine in the Web3 field through the triple technological breakthroughs of "dual-chain architecture + AI co-processing + distributed optimization," processing an average of 600 million calls daily, becoming the preferred data layer for DeFi and AI applications. @Chainbase Official #chainbase $C